System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting family information; means for selecting an individually suitable dish or meal kit based on the user's family information; means for delivering the selected dish or meal kit to the home; means for inputting feedback from the user after a meal; and means for reflecting the feedback in the next selection of a dish or meal kit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the 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] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Each family has different dietary needs and preferences, and planning a daily menu to meet these needs requires a great deal of time and effort. Providing meals that meet each family member's individual preferences and restrictions while also taking nutritional balance into consideration is also difficult. In particular, families with children and elderly people need to be able to provide healthy meals while reducing the burden of daily life. Existing meal delivery services are expensive and unable to accommodate individual preferences, so a more flexible service that is tailored to the user is needed. [Means for solving the problem]

[0005] In this invention, a means for inputting family information is used to allow users to input information such as the ages, chronic illnesses, preferences, and dietary preferences of their family members. A means for selecting individually appropriate meals or meal kits based on the input family information is used, and a means for delivering the selected meals or meal kits to the home is provided. Furthermore, by providing a means for inputting feedback from the user after a meal and combining this with a means for reflecting the feedback in the next meal or meal kit selection, a system is realized that provides services that more closely respond to each user's preferences and requests. This reduces the effort required to plan daily menus and makes it possible to easily provide nutritionally balanced meals.

[0006] "Family information" is information about individual family members, such as age, medical conditions, preferences, and dietary wishes.

[0007] An "input means" is a device or interface through which a user provides data to a system.

[0008] The "means of selection" refers to the algorithm or processing method used to determine the optimal meal or meal kit based on the provided family information.

[0009] "Delivery method" refers to the logistics system or delivery network used to deliver the selected meal or meal kit to the home.

[0010] "Feedback" refers to opinions and evaluation information collected from users after eating, and includes the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0011] "Means of reflection" refers to a processing method for incorporating feedback information collected from users into the next cooking or meal kit selection process.

[0012] In the present invention, the term "system" refers to a complex set of technical devices and software for inputting family information, selecting meals and meal kits, delivering them, and collecting and reflecting feedback. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0014] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0017] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0018] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0019] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 1, a 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.

[0024] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. 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. The database 24 and the communication I / F 26 are also 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).

[0025] 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. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0026] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. 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, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0033] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0034] The system of the present invention integrates the processes of inputting family information, selecting meals and meal kits, delivery, and collecting and incorporating feedback. Specific embodiments of each process are described below.

[0035] User registration and information entry

[0036] It begins when a user opens an application or website and creates a new account. The device displays a form asking for basic information such as username, email address, and password, and the information is sent to the server. The server receives this information and stores it in a database. The user then enters more detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and the device sends this information back to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0037] First order selection

[0038] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0039] Menu selection and cooking

[0040] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0041] Post-meal feedback

[0042] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[0043] Reflection in next order

[0044] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[0045] Specific examples

[0046] For example, suppose a family's information is provided, stating that the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. In this case, the server will select low-salt dishes for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or hijiki seaweed stew. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the next dish selection. For example, if the feedback is that "the chicken was too big," the size of the chicken will be adjusted to be smaller in the next dish.

[0047] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits.

[0048] The processing flow will be explained below.

[0049] Step 1:

[0050] A user opens an application or website and begins creating a new account.

[0051] Step 2:

[0052] The device will display a form for you to enter basic information such as your username, email address, and password.

[0053] Step 3:

[0054] The user enters the required information and presses the account creation button.

[0055] Step 4:

[0056] The terminal transmits the input information to the server.

[0057] Step 5:

[0058] The server stores the received user information in a database and creates an account.

[0059] Step 6:

[0060] The server sends the user an email confirming the account creation.

[0061] Step 7:

[0062] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[0063] Step 8:

[0064] The device displays a form for entering family information.

[0065] Step 9:

[0066] The user enters the necessary family information and presses the send button.

[0067] Step 10:

[0068] The terminal transmits the input information to the server.

[0069] Step 11:

[0070] The server receives the family information and stores it in a database.

[0071] Step 12:

[0072] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[0073] Step 13:

[0074] The device will display options (prepared product, meal kit, delivery cycle).

[0075] Step 14:

[0076] The user makes a selection and presses the confirm button.

[0077] Step 15:

[0078] The terminal transmits the user's selection information to the server.

[0079] Step 16:

[0080] The server saves the selected information in a database to record the initial order.

[0081] Step 17:

[0082] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[0083] Step 18:

[0084] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[0085] Step 19:

[0086] The server sends the selected menu and customization information to the kitchen system.

[0087] Step 20:

[0088] The kitchen system creates a cooking plan based on the data received and begins cooking.

[0089] Step 21:

[0090] After the cooking is complete, the kitchen system requests delivery from the delivery company.

[0091] Step 22:

[0092] A delivery company delivers the meal or meal kit to the user's home.

[0093] Step 23:

[0094] After the meal, the user opens an application or website to enter feedback.

[0095] Step 24:

[0096] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0097] Step 25:

[0098] The user enters feedback and presses the submit button.

[0099] Step 26:

[0100] The terminal transmits the input feedback information to the server.

[0101] Step 27:

[0102] The server stores the received feedback data in a database and analyzes it.

[0103] Step 28:

[0104] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[0105] Step 29:

[0106] The server will select a new menu item and record it as your next order.

[0107] Step 30:

[0108] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[0109] Example 1

[0110] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0111] A system that selects and delivers the optimal meals and meal kits to homes based on family composition, health status, and individual preferences must efficiently provide meals that meet individual needs. Another challenge is to provide a continuously satisfying service by collecting feedback on meals and incorporating it into the next menu selection. This will effectively support maintaining family health and improving eating habits.

[0112] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0113] In this invention, the server includes a means for the user to input family information, a means for the terminal to transmit the user's input information to the server and the server storing the received information in a database, a means for the server to select an individually appropriate dish or ingredient set based on the user's family information, a means for delivering the selected dish or ingredient set to the home, a means for the user to input feedback after the meal, a means for the terminal to transmit the input feedback information to the server and the server to store and analyze the received feedback in a database, and a means for reflecting the feedback in the selection of the next dish or ingredient set. This makes it possible to provide a customized meal that reflects the user's individual needs and feedback.

[0114] "User" refers to an individual or group that uses the system.

[0115] "Family information" refers to detailed information about the user and their family members, such as age, chronic illnesses, preferences, and dietary preferences.

[0116] "Terminal" refers to a device, such as a computer, smartphone, or tablet, through which a user enters information and accesses the system.

[0117] "Server" refers to a central computer system that receives, stores, analyzes, and processes input information.

[0118] "Means" refers to various mechanisms and processes for performing specific functions or roles.

[0119] A "database" refers to an information system for managing and storing user information and data necessary for system operation.

[0120] "Cooked" refers to food that has been cooked and is ready to eat.

[0121] "Ingredient set" refers to ingredients and recipes prepared for users to cook at home.

[0122] "Delivery" refers to the process of delivering the selected meal or ingredient set to the user's home.

[0123] "Feedback" refers to the opinions and impressions provided by users after eating.

[0124] "Analysis" refers to the process of processing data based on collected feedback information to extract trends and patterns.

[0125] The system of the present invention allows users to input family information, and based on that information, selects and delivers appropriate dishes or ingredient sets, collects and incorporates feedback, etc. The purpose of the present invention is to propose optimal menus based on the family information entered by the user, and to provide a continuously customized service.

[0126] Hardware and software used

[0127] Hardware:

[0128] Device: A device such as a smartphone, tablet, or computer where a user enters information.

[0129] Server: A central computer system that stores, analyzes, and processes information.

[0130] Database Server: A storage system for storing user information and feedback data.

[0131] Cooking system: Kitchen equipment for preparing a selected dish or set of ingredients.

[0132] Delivery system: A logistics network for delivering meals and ingredient sets to users' homes.

[0133] software:

[0134] Web or mobile application: An interface where users can enter family information, feedback, and place orders.

[0135] Algorithm engine: An algorithm for selecting the best menu based on family information.

[0136] Feedback analysis tool: A tool that analyzes user feedback and reflects it in the next menu selection.

[0137] Specific examples

[0138] For example, consider a family where the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. The user uses the application to enter this information as family information. The device sends the information to the server, which then stores it in a database.

[0139] The user then selects "prepared meal" for their first order and sets the delivery cycle to weekly. The device sends the selection information to the server, which stores the received data and suggests "low-salt Japanese menu items" such as stewed chicken with plenty of vegetables and simmered hijiki seaweed.

[0140] After the food is delivered to the home and the user enjoys the meal, they can enter feedback using an application or website. For example, they can send feedback such as "The chicken was big." The device then sends the feedback information to the server, which stores it in a database.

[0141] When selecting the next menu, the server analyzes the feedback information and adjusts the size of the chicken to be smaller in the next dish.The server notifies the user of the new menu that reflects this feedback and reflects it in the next order.

[0142] Examples of prompt statements

[0143] "If a user enters information about a family member with diabetes and requests a low-sodium, vegetable-rich menu, what dishes would you suggest? Please explain specifically why those dishes are suitable."

[0144] This system seamlessly reflects the user's input information and feedback to continuously provide customized, optimal meals, thereby supporting the maintenance of family health and a satisfying dietary lifestyle.

[0145] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0146] Step 1: User registration and family information entry

[0147] Input: A user visits an application or website and enters basic information such as their name, email address, and password.

[0148] How it works: The terminal displays an input form and the user enters information. The terminal validates the format and content of the input data in real time and displays an error message if any information is missing or inappropriate.

[0149] Output: The verified user information is sent from the device to the server, which stores the data in a database.

[0150] Step 2: Enter detailed family information

[0151] Input: The user enters detailed family information such as age, medical conditions, preferences, and dietary preferences.

[0152] How it works: The terminal dynamically generates a form, and the user enters family information. The terminal then sends this information back to the server.

[0153] Output: The server receives detailed family information and stores it in a database to build individual profiles.

[0154] Step 3: Select your first order

[0155] Input: The user selects a complete meal or ingredient kit and sets a delivery frequency in the app or website.

[0156] How it works: The device displays a selection form, the user enters their selection, and the device sends the selection to the server.

[0157] Output: The server saves the selection to the database and records the initial order.

[0158] Step 4: Menu Selection

[0159] Input: The server retrieves the user's family information and initial order information.

[0160] How it works: The algorithm engine on the server selects the optimal menu taking into account nutritional balance, preferences, dietary restrictions, etc.

[0161] Output: The server sends the selected menu and customization information to the kitchen system.

[0162] Step 5: Prepare your dish or ingredient set

[0163] Input: Menu and customization information from the server.

[0164] How it works: The kitchen system receives cooking instructions, and the automated cooking devices carry out the cooking plan.

[0165] Output: A finished dish or set of ingredients is prepared.

[0166] Step 6: Delivery

[0167] Input: A finished dish or set of ingredients.

[0168] How it works: The delivery system receives the prepared meal or ingredient set and delivers it to the user's home. The server manages the delivery status in real time and notifies the user's device.

[0169] Output: The delivered dish or set of ingredients.

[0170] Step 7: Post-meal feedback

[0171] Input: User enters feedback after eating.

[0172] How it works: The device asks questions such as flavor intensity, size of ingredients, and overall satisfaction, and the user inputs this information. The device then sends the feedback information to the server.

[0173] Output: The server receives the feedback data and stores it in a database.

[0174] Step 8: Analyze feedback and incorporate it into your next order

[0175] Input: Stored feedback data.

[0176] How it works: The server analyzes the feedback data and reflects it in the next menu selection. The algorithm engine optimizes the new menu based on the feedback.

[0177] Output: The improved menu is notified to the user and reflected in their next order.

[0178] This allows for customized meals to be provided based on the user's individual needs and feedback.

[0179] (Application example 1)

[0180] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0181] In modern life, there is a demand for a system that can support busy families' dietary habits in a fully personalized manner. However, current food delivery services have difficulty providing menus that fully reflect the user's individual preferences, health status, and past feedback information. Another problem is the lack of a system that continuously incorporates user feedback and reflects it in the selection of the next meal or meal kit. Furthermore, there are insufficient means to automatically optimize menus based on collected data, making it difficult to improve the quality of household diets.

[0182] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0183] In this invention, the server includes a means for storing family information and feedback information in a database, a means for using an algorithm to optimize the next menu based on the feedback information, and a means for selecting individually appropriate dishes or meal kits based on the user's family information, thereby enabling optimal menu suggestions based on the user's preferences and health condition and continuous improvement based on these suggestions.

[0184] "Family information" is detailed data such as the user's family structure, age, chronic illnesses, preferences, and dietary preferences.

[0185] A "meal or meal kit" is a prepared meal or kit containing the necessary ingredients and cooking instructions for home consumption.

[0186] "Delivery" refers to sending the selected meal or meal kit to the user's home.

[0187] "Feedback" refers to data regarding users' ratings and opinions of the meals and meal kits they consumed, as well as specific areas for improvement.

[0188] The "database" is an electronic information storage system for organizing and storing family information and feedback information.

[0189] An "algorithm" is a set of calculation rules or logical procedures for selecting and adjusting the optimal menu based on input data.

[0190] "Menu optimization" is the process of improving and adjusting the contents of the next meal or meal kit offered, taking into account user feedback and family information.

[0191] The system of the present invention is designed to support the dietary habits of individual households through a food delivery service. This system optimizes menus for future meals based on family information and feedback information.

[0192] 1. User registration and information entry

[0193] First, a user creates a new account through an application or website. The device, such as a smartphone, displays an input form for basic information such as username, email address, and password, and the information entered is sent to a server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, chronic illnesses, preferences, and dietary preferences. The device then sends this information back to the server, which then stores the received family information in a database, building an individual profile for each user.

[0194] 2. Select your first order

[0195] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0196] 3. Menu selection and cooking

[0197] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit based on the family information and feedback, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home via delivery means.

[0198] 4. Post-meal feedback

[0199] After eating, users enter their feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[0200] 5. Reflection in next order

[0201] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[0202] Specific examples

[0203] For example, in a household where the 35-year-old father has diabetes, family information is provided, such as a preference for Japanese food but a preference for low-salt options. In this case, the server selects low-salt options for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the selection of the next dish. For example, if the user provides feedback that "the chicken was too big," the size of the chicken will be adjusted to be smaller the next time.

[0204] Hardware and software used

[0205] Hardware: Smartphone (users use the application), server (data processing and storage), delivery method (delivery of food and meal kits)

[0206] Software: Flask (web application development with Python), MongoDB (database management system), Algorithms (menu selection and optimization)

[0207] Prompt Sentence Examples

[0208] "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu."

[0209] This allows the invention to provide users with customized, nutritionally balanced meals and continually optimize their family's diet.

[0210] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0211] Step 1:

[0212] A user opens an application or website to create a new account. The device displays a form with basic information, such as username, email address, and password. The user enters the information, which is then sent from the device to the server. The server receives the information and stores it in a database.

[0213] Step 2:

[0214] The user enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences. The device then sends this information back to the server, which stores the received family information in a database and creates an individual profile for each user.

[0215] Step 3:

[0216] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0217] Step 4:

[0218] The server uses an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm takes into account family information and health status, and determines the optimal dish or meal kit based on nutritional balance, preferences, dietary restrictions, etc. The results of this selection are sent from the server to the kitchen system.

[0219] Step 5:

[0220] The kitchen system creates a cooking plan based on instructions received from the server. Kitchen staff prepare the food or meal kit according to the established procedures, then package and label it. The finished food or meal kit is delivered to the home by delivery means.

[0221] Step 6:

[0222] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[0223] Step 7:

[0224] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process to determine the optimal dish or meal kit, taking the feedback into account. The server then notifies the user of this improved menu, which is then reflected in the next order.

[0225] Step 8:

[0226] The kitchen system updates the cooking plan according to the improved menu based on instructions from the server, and the prepared meals and meal kits are delivered to the home and served to the user.

[0227] Step 9:

[0228] The user then enters their feedback again, which is used to improve the next meal. This cyclical process ensures that the meals and meal kits provided to users are continually optimized and tailored to their individual preferences and health conditions.

[0229] Step 10:

[0230] An example of a prompt sentence is, "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu." This allows the system to provide the optimal menu based on the specific request.

[0231] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0232] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[0233] User registration and information entry

[0234] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0235] First order selection

[0236] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[0237] Menu selection and cooking

[0238] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0239] Post-meal feedback and emotion recognition

[0240] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[0241] Reflection in next order

[0242] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[0243] Specific examples

[0244] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[0245] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[0246] The processing flow will be explained below.

[0247] Step 1:

[0248] A user opens an application or website and begins creating a new account.

[0249] Step 2:

[0250] The device will display a form for you to enter basic information such as your username, email address, and password.

[0251] Step 3:

[0252] The user enters the required information and presses the account creation button.

[0253] Step 4:

[0254] The terminal transmits the input information to the server.

[0255] Step 5:

[0256] The server stores the received user information in a database and creates an account.

[0257] Step 6:

[0258] The server sends the user an email confirming the account creation.

[0259] Step 7:

[0260] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[0261] Step 8:

[0262] The device displays a form for entering family information.

[0263] Step 9:

[0264] The user enters the necessary family information and presses the send button.

[0265] Step 10:

[0266] The terminal transmits the input information to the server.

[0267] Step 11:

[0268] The server receives the family information and stores it in a database.

[0269] Step 12:

[0270] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[0271] Step 13:

[0272] The device will display options (prepared product, meal kit, delivery cycle).

[0273] Step 14:

[0274] The user makes a selection and presses the confirm button.

[0275] Step 15:

[0276] The terminal transmits the user's selection information to the server.

[0277] Step 16:

[0278] The server saves the selected information in a database to record the initial order.

[0279] Step 17:

[0280] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[0281] Step 18:

[0282] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[0283] Step 19:

[0284] The server sends the selected menu and customization information to the kitchen system.

[0285] Step 20:

[0286] The kitchen creates a cooking plan based on the data received and begins cooking.

[0287] Step 21:

[0288] The kitchen completes the cooking and sends a delivery request to the delivery company.

[0289] Step 22:

[0290] A delivery company delivers the meal or meal kit to the user's home.

[0291] Step 23:

[0292] After the meal, the user opens an application or website to enter feedback.

[0293] Step 24:

[0294] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0295] Step 25:

[0296] The user enters feedback and presses the submit button.

[0297] Step 26:

[0298] The terminal transmits the input feedback information to the server.

[0299] Step 27:

[0300] The device uses its built-in camera and microphone to collect the user's facial expressions and voice.

[0301] Step 28:

[0302] The device uses an emotion engine to analyze the collected facial and voice data and recognize the user's emotions.

[0303] Step 29:

[0304] The device transmits the recognized emotion data to the server.

[0305] Step 30:

[0306] The server stores the received feedback data and emotion data in a database and analyzes them.

[0307] Step 31:

[0308] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[0309] Step 32:

[0310] The server will select a new menu item and record it as your next order.

[0311] Step 33:

[0312] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[0313] Example 2

[0314] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0315] In today's busy home environment, it is extremely difficult to prepare meals that are tailored to the health status and preferences of each family member. Furthermore, to enhance meal satisfaction, it is important to accurately reflect user feedback and emotional information, but existing systems have not fully achieved this. In particular, incorporating emotional information is necessary to achieve more precise customization and improve user satisfaction.

[0316] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0317] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, means for analyzing the user's emotional information, and means for reflecting the emotional information in the next dish or meal kit selection. This makes it possible to provide meals tailored to the individual needs of each family member, improve the accuracy of the next menu selection based on the feedback and emotional information, and increase user satisfaction.

[0318] "Family information" is detailed information about each family member, such as the ages, chronic illnesses, preferences, and dietary wishes of family members.

[0319] A "terminal" is a device that a user uses to input or view data, and specifically refers to a smartphone, tablet, PC, etc.

[0320] A "server" is a computer system that receives, processes, and stores information sent by users in a database.

[0321] "Feedback" refers to opinions and impressions provided by users after eating, and specifically includes information about the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0322] "Emotion information" is information about the user's emotional state, such as satisfaction or dissatisfaction, obtained by analyzing the user's facial expressions and voice.

[0323] "Meal" or "meal kit" means food provided for home consumption, either a pre-prepared meal or a pre-cooked meal kit.

[0324] An "algorithm" is a computational method for selecting the optimal meal or meal kit based on the user's family information, feedback, and emotional information.

[0325] The "database" is an information management system that stores the user's family information, feedback, emotional information, etc., and retrieves them as needed.

[0326] The "kitchen system" is an in-facility system that creates cooking plans based on the selected menu and customization information, and then actually prepares the food.

[0327] The system of the present invention allows users to more easily manage their family's diet and provides customized meals and meal kits. This system integrates family information input, meal and meal kit selection, delivery, feedback collection and reflection, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[0328] User registration and information entry

[0329] A user first opens an application or website and begins creating a new account. The device displays a form for the user to enter basic information such as username, email address, and password. After the user enters and submits the required information, the device sends this information to the server. The server stores the received information in a database and then displays a form for the user to enter details about their family members (age, medical conditions, preferences, dietary preferences, etc.). The user enters this information, and the device sends it back to the server. The server stores the received family information in a database and builds an individual profile for each user.

[0330] First order selection

[0331] The user selects whether to order a pre-made meal or a meal kit and sets the delivery cycle through the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[0332] Menu selection and cooking

[0333] The server runs an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit, taking into account nutritional balance, family preferences, and dietary restrictions. The selected menu and customization information are sent from the server to the kitchen system, which then creates a cooking plan. Kitchen staff cook according to the plan, and the completed dish or meal kit is delivered to the home by a delivery company.

[0334] Post-meal feedback and emotion recognition

[0335] After eating, users enter feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[0336] Reflection in next order

[0337] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[0338] Specific examples

[0339] For example, if a family member's 35-year-old father has diabetes and the family information is provided, indicating that he likes Japanese food but prefers it to be low in salt, the server will select a low-salt menu for diabetics. Specifically, it will suggest chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[0340] Prompt Sentence Examples

[0341] "Create a system that allows users to input their family members' ages, medical conditions, preferences, and dietary needs, and then suggests the best dishes based on their feedback and emotional information. The system should use a database to store the user's information and an algorithm to select the best menu. It should also include a function that uses an emotional engine to analyze the user's emotions and reflect them in the next order."

[0342] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0343] Step 1:

[0344] A user opens an application or website and begins creating a new account.

[0345] Input: The action by which a user accesses your site or application.

[0346] Output: The account entry form is displayed.

[0347] Step 2:

[0348] The device will display a form for you to enter basic information such as your username, email address, and password.

[0349] Input: The user's account creation request.

[0350] Output: Basic information input form.

[0351] Step 3:

[0352] The user enters the required information into the form and clicks the submit button.

[0353] Input: User data entered into the basic information form.

[0354] Output: Input data is sent from the device to the server.

[0355] Step 4:

[0356] The server receives the entered information and stores it in a database.

[0357] Input: Basic user information sent from the device.

[0358] Output: User information stored in the database.

[0359] Step 5:

[0360] The server returns a completion notification to the terminal and displays a form for the user to enter detailed information about their family members (age, chronic illnesses, preferences, dietary preferences, etc.).

[0361] Input: Server completion notification.

[0362] Output: Family information entry form.

[0363] Step 6:

[0364] The user enters the family information and clicks the submit button.

[0365] Input: User data entered into the family information form.

[0366] Output: Input data is sent from the device to the server.

[0367] Step 7:

[0368] The server receives the entered family information and stores it in a database.

[0369] Input: Family information sent from the device.

[0370] Output: Family information stored in a database.

[0371] Step 8:

[0372] The server builds an individual profile for each user.

[0373] Input: Saved user basic information and family information.

[0374] Output: A personal profile of the user is built in the database.

[0375] Step 9:

[0376] Users can choose between a pre-made meal or a meal kit and set their delivery schedule on the app or website.

[0377] Input: The user's meal or meal kit selection and delivery frequency preferences.

[0378] Output: The selection information is sent from the device to the server.

[0379] Step 10:

[0380] The server stores the received data in a database and records the initial order.

[0381] Input: Selection information sent from the terminal.

[0382] Output: Initial order information stored in the database.

[0383] Step 11:

[0384] The server runs an algorithm to select an appropriate menu based on the user's family information and first order information.

[0385] Input: Saved family information and initial order information.

[0386] Output: Selection of optimal menu.

[0387] Step 12:

[0388] The server sends the selected menu and customization information to the kitchen system.

[0389] Input: Selected menu information.

[0390] Output: Menu and customization information sent to the kitchen system.

[0391] Step 13:

[0392] The kitchen system creates a cooking plan, and the kitchen staff cooks according to the plan.

[0393] Input: Cooking plan sent to the kitchen system.

[0394] Output: Cooked food or prepared meal kit.

[0395] Step 14:

[0396] A delivery company will deliver the finished meal or meal kit to your home.

[0397] Input: Delivery order from the kitchen system to the delivery company.

[0398] Output: Meals or meal kits delivered to homes.

[0399] Step 15:

[0400] After eating, users enter their feedback into an application or website.

[0401] Input: User feedback data (strength of flavor, size of ingredients, overall satisfaction).

[0402] Output: Feedback information is sent from the device to the server.

[0403] Step 16:

[0404] The device uses its built-in camera and microphone to analyze the user's facial expressions and voice.

[0405] Input: User's facial expressions and voice.

[0406] Output: Emotion information parsed by the emotion engine.

[0407] Step 17:

[0408] The device sends the analysis results to a server, which then stores the feedback data and emotion data in a database.

[0409] Input: Emotion information parsed by the emotion engine.

[0410] Output: Feedback and emotion data stored in a database.

[0411] Step 18:

[0412] The server uses an algorithm to incorporate the feedback information and emotion data into the next menu selection.

[0413] Input: Stored feedback and emotion data.

[0414] Output: Improved menu selection.

[0415] Step 19:

[0416] The server will notify the user of the improved menu and reflect it in their next order.

[0417] Input: Improved menu information.

[0418] Output: New menu information notified to the user.

[0419] (Application example 2)

[0420] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0421] In recent years, with the diversification of lifestyles, there has been an increasing need for personalized meal delivery in homes. However, systems that can accommodate the different ages, health conditions, preferences, and dietary restrictions of each household have not yet been fully developed. Furthermore, conventional methods have had difficulty accurately grasping the user's emotions and reflecting them in the next menu selection. For this reason, more advanced customization is required to increase user satisfaction. The present invention aims to solve these problems and provide a food delivery system that can provide high satisfaction to each user.

[0422] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0423] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, emotion recognition means for recognizing the user's emotions using a camera or microphone, and means for reflecting the emotion information obtained by the emotion recognition means in the next dish or meal kit selection. This enables highly accurate dish or meal kit selection based on the user's family information and emotion data, thereby improving user satisfaction.

[0424] "Family information" is attribute information about the user's family, such as age, health condition, preferences, and dietary preferences.

[0425] A "meal or meal kit" is a set of ingredients and a recipe for a user to prepare at home, or a meal that is already prepared and ready to consume.

[0426] "Delivery" is the process of delivering the selected meal or meal kit to your home.

[0427] "Feedback" is evaluation information such as the strength of flavor, the size of ingredients, and overall satisfaction level provided by the user after eating.

[0428] "Emotion recognition" is a technology that uses cameras and microphones to analyze and identify emotions from a user's facial expressions and voice.

[0429] The "emotion recognition means" is a means for detecting and analyzing the user's emotions using a camera or microphone.

[0430] "Reflect on next meal or meal kit selection" means improving future menu and ingredient selections based on feedback and emotional information.

[0431] MODE FOR CARRYING OUT THE INVENTION

[0432] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[0433] User registration and information entry

[0434] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, health status, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0435] First order selection

[0436] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[0437] Menu selection and cooking

[0438] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0439] Post-meal feedback and emotion recognition

[0440] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[0441] Reflection in next order

[0442] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[0443] Specific examples

[0444] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[0445] Prompt Sentence Examples

[0446] Based on the user's health information and preferences, it will suggest the best dishes to eat and analyze their emotions after eating.

[0447] Name: Taro

[0448] Age: 35

[0449] Health Condition: Diabetes

[0450] Favorite food: Japanese food

[0451] Dietary Restrictions: Low Sodium

[0452] Menu suggestions: Chicken stew with plenty of vegetables, simmered hijiki seaweed

[0453] Feedback: Great taste, perfect portion size, overall satisfaction high

[0454] Emotions: Smiling, lots of calmness

[0455] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[0456] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0457] Program processing flow

[0458] Step 1:

[0459] A user opens an application or website and begins creating a new account. An input screen appears, where basic information such as a username, email address, and password is entered, and the user presses the submit button. The entered information is sent from the device to the server, which receives the information and stores it in a database.

[0460] Input: Username, Email Address, Password

[0461] Data processing: Format check and encryption of input data

[0462] Output: Send to server, save to database

[0463] Step 2:

[0464] The user then enters detailed information about their family members, such as their age, health status, preferences, and dietary preferences. The entered family information is sent from the device to a server and stored in a database, which then creates an individual profile for each user.

[0465] Input: Family members' ages, health status, preferences, and dietary preferences

[0466] Data processing: Data validation and formatting Output: Saving to database

[0467] Step 3:

[0468] Users can choose between a pre-made meal or a meal kit and set their delivery schedule via the app or website. The selection is sent from the device to the server, which stores the data in a database to record the initial order.

[0469] Input: Choice of meal or meal kit, delivery cycle

[0470] Data processing: formatting selected data, calculating delivery dates

[0471] Output: Save to database

[0472] Step 4:

[0473] The server runs an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm selects the optimal dish or meal kit, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan.

[0474] Input: Family information, initial order information

[0475] Data processing: Algorithm-based menu selection and customization information generation

[0476] Output: Send to kitchen system, create cooking plan

[0477] Step 5:

[0478] The kitchen will then prepare the food based on the cooking plan, and the finished meal or meal kit will be delivered to your home by a delivery company.

[0479] Input: Cooking plan

[0480] Specific actions: Cooking and packaging according to cooking instructions

[0481] Output: Delivery of finished products

[0482] Step 6:

[0483] After eating, users provide feedback via an application or website. The device prompts the user with questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction, and sends the entered feedback information to the server.

[0484] Input: Strength of flavor, size of ingredients, overall satisfaction

[0485] Data processing: collection and formatting of feedback data

[0486] Output: Send to server, save to database

[0487] Step 7:

[0488] Using the device's built-in camera and microphone, an emotion engine is activated that analyzes the user's facial expressions and voice after the meal. The emotion engine analyzes the user's emotional information and sends the results to the server.

[0489] Input: facial expression data, voice data

[0490] Data processing: Analysis using emotion engine, generation of emotion information

[0491] Output: Send to server, save to database

[0492] Step 8:

[0493] The server reflects the analyzed feedback information and emotion data in the next menu selection. It then starts a new selection process, taking into account the feedback and emotion information, to determine the optimal dish or meal kit. The server notifies the user of the improved menu and reflects it in the next order.

[0494] Input: Feedback information, emotion information

[0495] Data processing: Integrating feedback and sentiment data, selecting the next menu

[0496] Output: User notification, database update

[0497] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0498] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0499] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0500] [Second embodiment]

[0501] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0502] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0503] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. 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. The database 24 and the communication I / F 26 are also 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).

[0504] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, 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. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0505] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0506] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0507] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0508] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0509] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0510] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0511] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0512] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0513] The system of the present invention integrates the processes of inputting family information, selecting meals and meal kits, delivery, and collecting and incorporating feedback. Specific embodiments of each process are described below.

[0514] User registration and information entry

[0515] It begins when a user opens an application or website and creates a new account. The device displays a form asking for basic information such as username, email address, and password, and the information is sent to the server. The server receives this information and stores it in a database. The user then enters more detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and the device sends this information back to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0516] First order selection

[0517] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0518] Menu selection and cooking

[0519] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0520] Post-meal feedback

[0521] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[0522] Reflection in next order

[0523] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[0524] Specific examples

[0525] For example, suppose a family's information is provided, stating that the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. In this case, the server will select low-salt dishes for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or hijiki seaweed stew. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the next dish selection. For example, if the feedback is that "the chicken was too big," the size of the chicken will be adjusted to be smaller in the next dish.

[0526] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits.

[0527] The processing flow will be explained below.

[0528] Step 1:

[0529] A user opens an application or website and begins creating a new account.

[0530] Step 2:

[0531] The device will display a form for you to enter basic information such as your username, email address, and password.

[0532] Step 3:

[0533] The user enters the required information and presses the account creation button.

[0534] Step 4:

[0535] The terminal transmits the input information to the server.

[0536] Step 5:

[0537] The server stores the received user information in a database and creates an account.

[0538] Step 6:

[0539] The server sends the user an email confirming the account creation.

[0540] Step 7:

[0541] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[0542] Step 8:

[0543] The device displays a form for entering family information.

[0544] Step 9:

[0545] The user enters the necessary family information and presses the send button.

[0546] Step 10:

[0547] The terminal transmits the input information to the server.

[0548] Step 11:

[0549] The server receives the family information and stores it in a database.

[0550] Step 12:

[0551] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[0552] Step 13:

[0553] The device will display options (prepared product, meal kit, delivery cycle).

[0554] Step 14:

[0555] The user makes a selection and presses the confirm button.

[0556] Step 15:

[0557] The terminal transmits the user's selection information to the server.

[0558] Step 16:

[0559] The server saves the selected information in a database to record the initial order.

[0560] Step 17:

[0561] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[0562] Step 18:

[0563] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[0564] Step 19:

[0565] The server sends the selected menu and customization information to the kitchen system.

[0566] Step 20:

[0567] The kitchen system creates a cooking plan based on the data received and begins cooking.

[0568] Step 21:

[0569] After the cooking is complete, the kitchen system requests delivery from the delivery company.

[0570] Step 22:

[0571] A delivery company delivers the meal or meal kit to the user's home.

[0572] Step 23:

[0573] After the meal, the user opens an application or website to enter feedback.

[0574] Step 24:

[0575] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0576] Step 25:

[0577] The user enters feedback and presses the submit button.

[0578] Step 26:

[0579] The terminal transmits the input feedback information to the server.

[0580] Step 27:

[0581] The server stores the received feedback data in a database and analyzes it.

[0582] Step 28:

[0583] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[0584] Step 29:

[0585] The server will select a new menu item and record it as your next order.

[0586] Step 30:

[0587] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[0588] Example 1

[0589] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0590] A system that selects and delivers the optimal meals and meal kits to homes based on family composition, health status, and individual preferences must efficiently provide meals that meet individual needs. Another challenge is to provide a continuously satisfying service by collecting feedback on meals and incorporating it into the next menu selection. This will effectively support maintaining family health and improving eating habits.

[0591] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0592] In this invention, the server includes a means for the user to input family information, a means for the terminal to transmit the user's input information to the server and the server storing the received information in a database, a means for the server to select an individually appropriate dish or ingredient set based on the user's family information, a means for delivering the selected dish or ingredient set to the home, a means for the user to input feedback after the meal, a means for the terminal to transmit the input feedback information to the server and the server to store and analyze the received feedback in a database, and a means for reflecting the feedback in the selection of the next dish or ingredient set. This makes it possible to provide a customized meal that reflects the user's individual needs and feedback.

[0593] "User" refers to an individual or group that uses the system.

[0594] "Family information" refers to detailed information about the user and their family members, such as age, chronic illnesses, preferences, and dietary preferences.

[0595] "Terminal" refers to a device, such as a computer, smartphone, or tablet, through which a user enters information and accesses the system.

[0596] "Server" refers to a central computer system that receives, stores, analyzes, and processes input information.

[0597] "Means" refers to various mechanisms and processes for performing specific functions or roles.

[0598] A "database" refers to an information system for managing and storing user information and data necessary for system operation.

[0599] "Cooked" refers to food that has been cooked and is ready to eat.

[0600] "Ingredient set" refers to ingredients and recipes prepared for users to cook at home.

[0601] "Delivery" refers to the process of delivering the selected meal or ingredient set to the user's home.

[0602] "Feedback" refers to the opinions and impressions provided by users after eating.

[0603] "Analysis" refers to the process of processing data based on collected feedback information to extract trends and patterns.

[0604] The system of the present invention allows users to input family information, and based on that information, selects and delivers appropriate dishes or ingredient sets, collects and incorporates feedback, etc. The purpose of the present invention is to propose optimal menus based on the family information entered by the user, and to provide a continuously customized service.

[0605] Hardware and software used

[0606] Hardware:

[0607] Device: A device such as a smartphone, tablet, or computer where a user enters information.

[0608] Server: A central computer system that stores, analyzes, and processes information.

[0609] Database Server: A storage system for storing user information and feedback data.

[0610] Cooking system: Kitchen equipment for preparing a selected dish or set of ingredients.

[0611] Delivery system: A logistics network for delivering meals and ingredient sets to users' homes.

[0612] software:

[0613] Web or mobile application: An interface where users can enter family information, feedback, and place orders.

[0614] Algorithm engine: An algorithm for selecting the best menu based on family information.

[0615] Feedback analysis tool: A tool that analyzes user feedback and reflects it in the next menu selection.

[0616] Specific examples

[0617] For example, consider a family where the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. The user uses the application to enter this information as family information. The device sends the information to the server, which then stores it in a database.

[0618] The user then selects "prepared meal" for their first order and sets the delivery cycle to weekly. The device sends the selection information to the server, which stores the received data and suggests "low-salt Japanese menu items" such as stewed chicken with plenty of vegetables and simmered hijiki seaweed.

[0619] After the food is delivered to the home and the user enjoys the meal, they can enter feedback using an application or website. For example, they can send feedback such as "The chicken was big." The device then sends the feedback information to the server, which stores it in a database.

[0620] When selecting the next menu, the server analyzes the feedback information and adjusts the size of the chicken to be smaller in the next dish.The server notifies the user of the new menu that reflects this feedback and reflects it in the next order.

[0621] Examples of prompt statements

[0622] "If a user enters information about a family member with diabetes and requests a low-sodium, vegetable-rich menu, what dishes would you suggest? Please explain specifically why those dishes are suitable."

[0623] This system seamlessly reflects the user's input information and feedback to continuously provide customized, optimal meals, thereby supporting the maintenance of family health and a satisfying dietary lifestyle.

[0624] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0625] Step 1: User registration and family information entry

[0626] Input: A user visits an application or website and enters basic information such as their name, email address, and password.

[0627] How it works: The terminal displays an input form and the user enters information. The terminal validates the format and content of the input data in real time and displays an error message if any information is missing or inappropriate.

[0628] Output: The verified user information is sent from the device to the server, which stores the data in a database.

[0629] Step 2: Enter detailed family information

[0630] Input: The user enters detailed family information such as age, medical conditions, preferences, and dietary preferences.

[0631] How it works: The terminal dynamically generates a form, and the user enters family information. The terminal then sends this information back to the server.

[0632] Output: The server receives detailed family information and stores it in a database to build individual profiles.

[0633] Step 3: Select your first order

[0634] Input: The user selects a complete meal or ingredient kit and sets a delivery frequency in the app or website.

[0635] How it works: The device displays a selection form, the user enters their selection, and the device sends the selection to the server.

[0636] Output: The server saves the selection to the database and records the initial order.

[0637] Step 4: Menu Selection

[0638] Input: The server retrieves the user's family information and initial order information.

[0639] How it works: The algorithm engine on the server selects the optimal menu taking into account nutritional balance, preferences, dietary restrictions, etc.

[0640] Output: The server sends the selected menu and customization information to the kitchen system.

[0641] Step 5: Prepare your dish or ingredient set

[0642] Input: Menu and customization information from the server.

[0643] How it works: The kitchen system receives cooking instructions, and the automated cooking devices carry out the cooking plan.

[0644] Output: A finished dish or set of ingredients is prepared.

[0645] Step 6: Delivery

[0646] Input: A finished dish or set of ingredients.

[0647] How it works: The delivery system receives the prepared meal or ingredient set and delivers it to the user's home. The server manages the delivery status in real time and notifies the user's device.

[0648] Output: The delivered dish or set of ingredients.

[0649] Step 7: Post-meal feedback

[0650] Input: User enters feedback after eating.

[0651] How it works: The device asks questions such as flavor intensity, size of ingredients, and overall satisfaction, and the user inputs this information. The device then sends the feedback information to the server.

[0652] Output: The server receives the feedback data and stores it in a database.

[0653] Step 8: Analyze feedback and incorporate it into your next order

[0654] Input: Stored feedback data.

[0655] How it works: The server analyzes the feedback data and reflects it in the next menu selection. The algorithm engine optimizes the new menu based on the feedback.

[0656] Output: The improved menu is notified to the user and reflected in their next order.

[0657] This allows for customized meals to be provided based on the user's individual needs and feedback.

[0658] (Application example 1)

[0659] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0660] In modern life, there is a demand for a system that can support busy families' dietary habits in a fully personalized manner. However, current food delivery services have difficulty providing menus that fully reflect the user's individual preferences, health status, and past feedback information. Another problem is the lack of a system that continuously incorporates user feedback and reflects it in the selection of the next meal or meal kit. Furthermore, there are insufficient means to automatically optimize menus based on collected data, making it difficult to improve the quality of household diets.

[0661] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0662] In this invention, the server includes a means for storing family information and feedback information in a database, a means for using an algorithm to optimize the next menu based on the feedback information, and a means for selecting individually appropriate dishes or meal kits based on the user's family information, thereby enabling optimal menu suggestions based on the user's preferences and health condition and continuous improvement based on these suggestions.

[0663] "Family information" is detailed data such as the user's family structure, age, chronic illnesses, preferences, and dietary preferences.

[0664] A "meal or meal kit" is a prepared meal or kit containing the necessary ingredients and cooking instructions for home consumption.

[0665] "Delivery" refers to sending the selected meal or meal kit to the user's home.

[0666] "Feedback" refers to data regarding users' ratings and opinions of the meals and meal kits they consumed, as well as specific areas for improvement.

[0667] The "database" is an electronic information storage system for organizing and storing family information and feedback information.

[0668] An "algorithm" is a set of calculation rules or logical procedures for selecting and adjusting the optimal menu based on input data.

[0669] "Menu optimization" is the process of improving and adjusting the contents of the next meal or meal kit offered, taking into account user feedback and family information.

[0670] The system of the present invention is designed to support the dietary habits of individual households through a food delivery service. This system optimizes menus for future meals based on family information and feedback information.

[0671] 1. User registration and information entry

[0672] First, a user creates a new account through an application or website. The device, such as a smartphone, displays an input form for basic information such as username, email address, and password, and the information entered is sent to a server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, chronic illnesses, preferences, and dietary preferences. The device then sends this information back to the server, which then stores the received family information in a database, building an individual profile for each user.

[0673] 2. Select your first order

[0674] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0675] 3. Menu selection and cooking

[0676] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit based on the family information and feedback, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home via delivery means.

[0677] 4. Post-meal feedback

[0678] After eating, users enter their feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[0679] 5. Reflection in next order

[0680] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[0681] Specific examples

[0682] For example, in a household where the 35-year-old father has diabetes, family information is provided, such as a preference for Japanese food but a preference for low-salt options. In this case, the server selects low-salt options for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the selection of the next dish. For example, if the user provides feedback that "the chicken was too big," the size of the chicken will be adjusted to be smaller the next time.

[0683] Hardware and software used

[0684] Hardware: Smartphone (users use the application), server (data processing and storage), delivery method (delivery of food and meal kits)

[0685] Software: Flask (web application development with Python), MongoDB (database management system), Algorithms (menu selection and optimization)

[0686] Prompt Sentence Examples

[0687] "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu."

[0688] This allows the invention to provide users with customized, nutritionally balanced meals and continually optimize their family's diet.

[0689] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0690] Step 1:

[0691] A user opens an application or website to create a new account. The device displays a form with basic information, such as username, email address, and password. The user enters the information, which is then sent from the device to the server. The server receives the information and stores it in a database.

[0692] Step 2:

[0693] The user enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences. The device then sends this information back to the server, which stores the received family information in a database and creates an individual profile for each user.

[0694] Step 3:

[0695] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0696] Step 4:

[0697] The server uses an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm takes into account family information and health status, and determines the optimal dish or meal kit based on nutritional balance, preferences, dietary restrictions, etc. The results of this selection are sent from the server to the kitchen system.

[0698] Step 5:

[0699] The kitchen system creates a cooking plan based on instructions received from the server. Kitchen staff prepare the food or meal kit according to the established procedures, then package and label it. The finished food or meal kit is delivered to the home by delivery means.

[0700] Step 6:

[0701] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[0702] Step 7:

[0703] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process to determine the optimal dish or meal kit, taking the feedback into account. The server then notifies the user of this improved menu, which is then reflected in the next order.

[0704] Step 8:

[0705] The kitchen system updates the cooking plan according to the improved menu based on instructions from the server, and the prepared meals and meal kits are delivered to the home and served to the user.

[0706] Step 9:

[0707] The user then enters their feedback again, which is used to improve the next meal. This cyclical process ensures that the meals and meal kits provided to users are continually optimized and tailored to their individual preferences and health conditions.

[0708] Step 10:

[0709] An example of a prompt sentence is, "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu." This allows the system to provide the optimal menu based on the specific request.

[0710] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0711] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[0712] User registration and information entry

[0713] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0714] First order selection

[0715] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[0716] Menu selection and cooking

[0717] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0718] Post-meal feedback and emotion recognition

[0719] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[0720] Reflection in next order

[0721] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[0722] Specific examples

[0723] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[0724] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[0725] The processing flow will be explained below.

[0726] Step 1:

[0727] A user opens an application or website and begins creating a new account.

[0728] Step 2:

[0729] The device will display a form for you to enter basic information such as your username, email address, and password.

[0730] Step 3:

[0731] The user enters the required information and presses the account creation button.

[0732] Step 4:

[0733] The terminal transmits the input information to the server.

[0734] Step 5:

[0735] The server stores the received user information in a database and creates an account.

[0736] Step 6:

[0737] The server sends the user an email confirming the account creation.

[0738] Step 7:

[0739] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[0740] Step 8:

[0741] The device displays a form for entering family information.

[0742] Step 9:

[0743] The user enters the necessary family information and presses the send button.

[0744] Step 10:

[0745] The terminal transmits the input information to the server.

[0746] Step 11:

[0747] The server receives the family information and stores it in a database.

[0748] Step 12:

[0749] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[0750] Step 13:

[0751] The device will display options (prepared product, meal kit, delivery cycle).

[0752] Step 14:

[0753] The user makes a selection and presses the confirm button.

[0754] Step 15:

[0755] The terminal transmits the user's selection information to the server.

[0756] Step 16:

[0757] The server saves the selected information in a database to record the initial order.

[0758] Step 17:

[0759] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[0760] Step 18:

[0761] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[0762] Step 19:

[0763] The server sends the selected menu and customization information to the kitchen system.

[0764] Step 20:

[0765] The kitchen creates a cooking plan based on the data received and begins cooking.

[0766] Step 21:

[0767] The kitchen completes the cooking and sends a delivery request to the delivery company.

[0768] Step 22:

[0769] A delivery company delivers the meal or meal kit to the user's home.

[0770] Step 23:

[0771] After the meal, the user opens an application or website to enter feedback.

[0772] Step 24:

[0773] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0774] Step 25:

[0775] The user enters feedback and presses the submit button.

[0776] Step 26:

[0777] The terminal transmits the input feedback information to the server.

[0778] Step 27:

[0779] The device uses its built-in camera and microphone to collect the user's facial expressions and voice.

[0780] Step 28:

[0781] The device uses an emotion engine to analyze the collected facial and voice data and recognize the user's emotions.

[0782] Step 29:

[0783] The device transmits the recognized emotion data to the server.

[0784] Step 30:

[0785] The server stores the received feedback data and emotion data in a database and analyzes them.

[0786] Step 31:

[0787] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[0788] Step 32:

[0789] The server will select a new menu item and record it as your next order.

[0790] Step 33:

[0791] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[0792] Example 2

[0793] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0794] In today's busy home environment, it is extremely difficult to prepare meals that are tailored to the health status and preferences of each family member. Furthermore, to enhance meal satisfaction, it is important to accurately reflect user feedback and emotional information, but existing systems have not fully achieved this. In particular, incorporating emotional information is necessary to achieve more precise customization and improve user satisfaction.

[0795] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0796] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, means for analyzing the user's emotional information, and means for reflecting the emotional information in the next dish or meal kit selection. This makes it possible to provide meals tailored to the individual needs of each family member, improve the accuracy of the next menu selection based on the feedback and emotional information, and increase user satisfaction.

[0797] "Family information" is detailed information about each family member, such as the ages, chronic illnesses, preferences, and dietary wishes of family members.

[0798] A "terminal" is a device that a user uses to input or view data, and specifically refers to a smartphone, tablet, PC, etc.

[0799] A "server" is a computer system that receives, processes, and stores information sent by users in a database.

[0800] "Feedback" refers to opinions and impressions provided by users after eating, and specifically includes information about the strength of the flavor, the size of the ingredients, and overall satisfaction.

[0801] "Emotion information" is information about the user's emotional state, such as satisfaction or dissatisfaction, obtained by analyzing the user's facial expressions and voice.

[0802] "Meal" or "meal kit" means food provided for home consumption, either a pre-prepared meal or a pre-cooked meal kit.

[0803] An "algorithm" is a computational method for selecting the optimal meal or meal kit based on the user's family information, feedback, and emotional information.

[0804] The "database" is an information management system that stores the user's family information, feedback, emotional information, etc., and retrieves them as needed.

[0805] The "kitchen system" is an in-facility system that creates cooking plans based on the selected menu and customization information, and then actually prepares the food.

[0806] The system of the present invention allows users to more easily manage their family's diet and provides customized meals and meal kits. This system integrates family information input, meal and meal kit selection, delivery, feedback collection and reflection, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[0807] User registration and information entry

[0808] A user first opens an application or website and begins creating a new account. The device displays a form for the user to enter basic information such as username, email address, and password. After the user enters and submits the required information, the device sends this information to the server. The server stores the received information in a database and then displays a form for the user to enter details about their family members (age, medical conditions, preferences, dietary preferences, etc.). The user enters this information, and the device sends it back to the server. The server stores the received family information in a database and builds an individual profile for each user.

[0809] First order selection

[0810] The user selects whether to order a pre-made meal or a meal kit and sets the delivery cycle through the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[0811] Menu selection and cooking

[0812] The server runs an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit, taking into account nutritional balance, family preferences, and dietary restrictions. The selected menu and customization information are sent from the server to the kitchen system, which then creates a cooking plan. Kitchen staff cook according to the plan, and the completed dish or meal kit is delivered to the home by a delivery company.

[0813] Post-meal feedback and emotion recognition

[0814] After eating, users enter feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[0815] Reflection in next order

[0816] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[0817] Specific examples

[0818] For example, if a family member's 35-year-old father has diabetes and the family information is provided, indicating that he likes Japanese food but prefers it to be low in salt, the server will select a low-salt menu for diabetics. Specifically, it will suggest chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[0819] Prompt Sentence Examples

[0820] "Create a system that allows users to input their family members' ages, medical conditions, preferences, and dietary needs, and then suggests the best dishes based on their feedback and emotional information. The system should use a database to store the user's information and an algorithm to select the best menu. It should also include a function that uses an emotional engine to analyze the user's emotions and reflect them in the next order."

[0821] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0822] Step 1:

[0823] A user opens an application or website and begins creating a new account.

[0824] Input: The action by which a user accesses your site or application.

[0825] Output: The account entry form is displayed.

[0826] Step 2:

[0827] The device will display a form for you to enter basic information such as your username, email address, and password.

[0828] Input: The user's account creation request.

[0829] Output: Basic information input form.

[0830] Step 3:

[0831] The user enters the required information into the form and clicks the submit button.

[0832] Input: User data entered into the basic information form.

[0833] Output: Input data is sent from the device to the server.

[0834] Step 4:

[0835] The server receives the entered information and stores it in a database.

[0836] Input: Basic user information sent from the device.

[0837] Output: User information stored in the database.

[0838] Step 5:

[0839] The server returns a completion notification to the terminal and displays a form for the user to enter detailed information about their family members (age, chronic illnesses, preferences, dietary preferences, etc.).

[0840] Input: Server completion notification.

[0841] Output: Family information entry form.

[0842] Step 6:

[0843] The user enters the family information and clicks the submit button.

[0844] Input: User data entered into the family information form.

[0845] Output: Input data is sent from the device to the server.

[0846] Step 7:

[0847] The server receives the entered family information and stores it in a database.

[0848] Input: Family information sent from the device.

[0849] Output: Family information stored in a database.

[0850] Step 8:

[0851] The server builds an individual profile for each user.

[0852] Input: Saved user basic information and family information.

[0853] Output: A personal profile of the user is built in the database.

[0854] Step 9:

[0855] Users can choose between a pre-made meal or a meal kit and set their delivery schedule on the app or website.

[0856] Input: The user's meal or meal kit selection and delivery frequency preferences.

[0857] Output: The selection information is sent from the device to the server.

[0858] Step 10:

[0859] The server stores the received data in a database and records the initial order.

[0860] Input: Selection information sent from the terminal.

[0861] Output: Initial order information stored in the database.

[0862] Step 11:

[0863] The server runs an algorithm to select an appropriate menu based on the user's family information and first order information.

[0864] Input: Saved family information and initial order information.

[0865] Output: Selection of optimal menu.

[0866] Step 12:

[0867] The server sends the selected menu and customization information to the kitchen system.

[0868] Input: Selected menu information.

[0869] Output: Menu and customization information sent to the kitchen system.

[0870] Step 13:

[0871] The kitchen system creates a cooking plan, and the kitchen staff cooks according to the plan.

[0872] Input: Cooking plan sent to the kitchen system.

[0873] Output: Cooked food or prepared meal kit.

[0874] Step 14:

[0875] A delivery company will deliver the finished meal or meal kit to your home.

[0876] Input: Delivery order from the kitchen system to the delivery company.

[0877] Output: Meals or meal kits delivered to homes.

[0878] Step 15:

[0879] After eating, users enter their feedback into an application or website.

[0880] Input: User feedback data (strength of flavor, size of ingredients, overall satisfaction).

[0881] Output: Feedback information is sent from the device to the server.

[0882] Step 16:

[0883] The device uses its built-in camera and microphone to analyze the user's facial expressions and voice.

[0884] Input: User's facial expressions and voice.

[0885] Output: Emotion information parsed by the emotion engine.

[0886] Step 17:

[0887] The device sends the analysis results to a server, which then stores the feedback data and emotion data in a database.

[0888] Input: Emotion information parsed by the emotion engine.

[0889] Output: Feedback and emotion data stored in a database.

[0890] Step 18:

[0891] The server uses an algorithm to incorporate the feedback information and emotion data into the next menu selection.

[0892] Input: Stored feedback and emotion data.

[0893] Output: Improved menu selection.

[0894] Step 19:

[0895] The server will notify the user of the improved menu and reflect it in their next order.

[0896] Input: Improved menu information.

[0897] Output: New menu information notified to the user.

[0898] (Application example 2)

[0899] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0900] In recent years, with the diversification of lifestyles, there has been an increasing need for personalized meal delivery in homes. However, systems that can accommodate the different ages, health conditions, preferences, and dietary restrictions of each household have not yet been fully developed. Furthermore, conventional methods have had difficulty accurately grasping the user's emotions and reflecting them in the next menu selection. For this reason, more advanced customization is required to increase user satisfaction. The present invention aims to solve these problems and provide a food delivery system that can provide high satisfaction to each user.

[0901] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0902] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, emotion recognition means for recognizing the user's emotions using a camera or microphone, and means for reflecting the emotion information obtained by the emotion recognition means in the next dish or meal kit selection. This enables highly accurate dish or meal kit selection based on the user's family information and emotion data, thereby improving user satisfaction.

[0903] "Family information" is attribute information about the user's family, such as age, health condition, preferences, and dietary preferences.

[0904] A "meal or meal kit" is a set of ingredients and a recipe for a user to prepare at home, or a meal that is already prepared and ready to consume.

[0905] "Delivery" is the process of delivering the selected meal or meal kit to your home.

[0906] "Feedback" is evaluation information such as the strength of flavor, the size of ingredients, and overall satisfaction level provided by the user after eating.

[0907] "Emotion recognition" is a technology that uses cameras and microphones to analyze and identify emotions from a user's facial expressions and voice.

[0908] The "emotion recognition means" is a means for detecting and analyzing the user's emotions using a camera or microphone.

[0909] "Reflect on next meal or meal kit selection" means improving future menu and ingredient selections based on feedback and emotional information.

[0910] MODE FOR CARRYING OUT THE INVENTION

[0911] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[0912] User registration and information entry

[0913] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, health status, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0914] First order selection

[0915] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[0916] Menu selection and cooking

[0917] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0918] Post-meal feedback and emotion recognition

[0919] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[0920] Reflection in next order

[0921] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[0922] Specific examples

[0923] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[0924] Prompt Sentence Examples

[0925] Based on the user's health information and preferences, it will suggest the best dishes to eat and analyze their emotions after eating.

[0926] Name: Taro

[0927] Age: 35

[0928] Health Condition: Diabetes

[0929] Favorite food: Japanese food

[0930] Dietary Restrictions: Low Sodium

[0931] Menu suggestions: Chicken stew with plenty of vegetables, simmered hijiki seaweed

[0932] Feedback: Great taste, perfect portion size, overall satisfaction high

[0933] Emotions: Smiling, lots of calmness

[0934] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[0935] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0936] Program processing flow

[0937] Step 1:

[0938] A user opens an application or website and begins creating a new account. An input screen appears, where basic information such as a username, email address, and password is entered, and the user presses the submit button. The entered information is sent from the device to the server, which receives the information and stores it in a database.

[0939] Input: Username, Email Address, Password

[0940] Data processing: Format check and encryption of input data

[0941] Output: Send to server, save to database

[0942] Step 2:

[0943] The user then enters detailed information about their family members, such as their age, health status, preferences, and dietary preferences. The entered family information is sent from the device to a server and stored in a database, which then creates an individual profile for each user.

[0944] Input: Family members' ages, health status, preferences, and dietary preferences

[0945] Data processing: Data validation and formatting Output: Saving to database

[0946] Step 3:

[0947] Users can choose between a pre-made meal or a meal kit and set their delivery schedule via the app or website. The selection is sent from the device to the server, which stores the data in a database to record the initial order.

[0948] Input: Choice of meal or meal kit, delivery cycle

[0949] Data processing: formatting selected data, calculating delivery dates

[0950] Output: Save to database

[0951] Step 4:

[0952] The server runs an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm selects the optimal dish or meal kit, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan.

[0953] Input: Family information, initial order information

[0954] Data processing: Algorithm-based menu selection and customization information generation

[0955] Output: Send to kitchen system, create cooking plan

[0956] Step 5:

[0957] The kitchen will then prepare the food based on the cooking plan, and the finished meal or meal kit will be delivered to your home by a delivery company.

[0958] Input: Cooking plan

[0959] Specific actions: Cooking and packaging according to cooking instructions

[0960] Output: Delivery of finished products

[0961] Step 6:

[0962] After eating, users provide feedback via an application or website. The device prompts the user with questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction, and sends the entered feedback information to the server.

[0963] Input: Strength of flavor, size of ingredients, overall satisfaction

[0964] Data processing: collection and formatting of feedback data

[0965] Output: Send to server, save to database

[0966] Step 7:

[0967] Using the device's built-in camera and microphone, an emotion engine is activated that analyzes the user's facial expressions and voice after the meal. The emotion engine analyzes the user's emotional information and sends the results to the server.

[0968] Input: facial expression data, voice data

[0969] Data processing: Analysis using emotion engine, generation of emotion information

[0970] Output: Send to server, save to database

[0971] Step 8:

[0972] The server reflects the analyzed feedback information and emotion data in the next menu selection. It then starts a new selection process, taking into account the feedback and emotion information, to determine the optimal dish or meal kit. The server notifies the user of the improved menu and reflects it in the next order.

[0973] Input: Feedback information, emotion information

[0974] Data processing: Integrating feedback and sentiment data, selecting the next menu

[0975] Output: User notification, database update

[0976] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0977] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0978] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0979] [Third embodiment]

[0980] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0981] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0982] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. 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. The database 24 and the communication I / F 26 are also 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).

[0983] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. 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. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0984] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0985] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0986] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0987] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0988] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0989] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0990] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0991] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0992] The system of the present invention integrates the processes of inputting family information, selecting meals and meal kits, delivery, and collecting and incorporating feedback. Specific embodiments of each process are described below.

[0993] User registration and information entry

[0994] It begins when a user opens an application or website and creates a new account. The device displays a form asking for basic information such as username, email address, and password, and the information is sent to the server. The server receives this information and stores it in a database. The user then enters more detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and the device sends this information back to the server. The server then stores the received family information in a database, building an individual profile for each user.

[0995] First order selection

[0996] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[0997] Menu selection and cooking

[0998] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[0999] Post-meal feedback

[1000] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[1001] Reflection in next order

[1002] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[1003] Specific examples

[1004] For example, suppose a family's information is provided, stating that the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. In this case, the server will select low-salt dishes for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or hijiki seaweed stew. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the next dish selection. For example, if the feedback is that "the chicken was too big," the size of the chicken will be adjusted to be smaller in the next dish.

[1005] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits.

[1006] The processing flow will be explained below.

[1007] Step 1:

[1008] A user opens an application or website and begins creating a new account.

[1009] Step 2:

[1010] The device will display a form for you to enter basic information such as your username, email address, and password.

[1011] Step 3:

[1012] The user enters the required information and presses the account creation button.

[1013] Step 4:

[1014] The terminal transmits the input information to the server.

[1015] Step 5:

[1016] The server stores the received user information in a database and creates an account.

[1017] Step 6:

[1018] The server sends the user an email confirming the account creation.

[1019] Step 7:

[1020] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[1021] Step 8:

[1022] The device displays a form for entering family information.

[1023] Step 9:

[1024] The user enters the necessary family information and presses the send button.

[1025] Step 10:

[1026] The terminal transmits the input information to the server.

[1027] Step 11:

[1028] The server receives the family information and stores it in a database.

[1029] Step 12:

[1030] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[1031] Step 13:

[1032] The device will display options (prepared product, meal kit, delivery cycle).

[1033] Step 14:

[1034] The user makes a selection and presses the confirm button.

[1035] Step 15:

[1036] The terminal transmits the user's selection information to the server.

[1037] Step 16:

[1038] The server saves the selected information in a database to record the initial order.

[1039] Step 17:

[1040] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[1041] Step 18:

[1042] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[1043] Step 19:

[1044] The server sends the selected menu and customization information to the kitchen system.

[1045] Step 20:

[1046] The kitchen system creates a cooking plan based on the data received and begins cooking.

[1047] Step 21:

[1048] After the cooking is complete, the kitchen system requests delivery from the delivery company.

[1049] Step 22:

[1050] A delivery company delivers the meal or meal kit to the user's home.

[1051] Step 23:

[1052] After the meal, the user opens an application or website to enter feedback.

[1053] Step 24:

[1054] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[1055] Step 25:

[1056] The user enters feedback and presses the submit button.

[1057] Step 26:

[1058] The terminal transmits the input feedback information to the server.

[1059] Step 27:

[1060] The server stores the received feedback data in a database and analyzes it.

[1061] Step 28:

[1062] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[1063] Step 29:

[1064] The server will select a new menu item and record it as your next order.

[1065] Step 30:

[1066] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[1067] Example 1

[1068] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1069] A system that selects and delivers the optimal meals and meal kits to homes based on family composition, health status, and individual preferences must efficiently provide meals that meet individual needs. Another challenge is to provide a continuously satisfying service by collecting feedback on meals and incorporating it into the next menu selection. This will effectively support maintaining family health and improving eating habits.

[1070] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1071] In this invention, the server includes a means for the user to input family information, a means for the terminal to transmit the user's input information to the server and the server storing the received information in a database, a means for the server to select an individually appropriate dish or ingredient set based on the user's family information, a means for delivering the selected dish or ingredient set to the home, a means for the user to input feedback after the meal, a means for the terminal to transmit the input feedback information to the server and the server to store and analyze the received feedback in a database, and a means for reflecting the feedback in the selection of the next dish or ingredient set. This makes it possible to provide a customized meal that reflects the user's individual needs and feedback.

[1072] "User" refers to an individual or group that uses the system.

[1073] "Family information" refers to detailed information about the user and their family members, such as age, chronic illnesses, preferences, and dietary preferences.

[1074] "Terminal" refers to a device, such as a computer, smartphone, or tablet, through which a user enters information and accesses the system.

[1075] "Server" refers to a central computer system that receives, stores, analyzes, and processes input information.

[1076] "Means" refers to various mechanisms and processes for performing specific functions or roles.

[1077] A "database" refers to an information system for managing and storing user information and data necessary for system operation.

[1078] "Cooked" refers to food that has been cooked and is ready to eat.

[1079] "Ingredient set" refers to ingredients and recipes prepared for users to cook at home.

[1080] "Delivery" refers to the process of delivering the selected meal or ingredient set to the user's home.

[1081] "Feedback" refers to the opinions and impressions provided by users after eating.

[1082] "Analysis" refers to the process of processing data based on collected feedback information to extract trends and patterns.

[1083] The system of the present invention allows users to input family information, and based on that information, selects and delivers appropriate dishes or ingredient sets, collects and incorporates feedback, etc. The purpose of the present invention is to propose optimal menus based on the family information entered by the user, and to provide a continuously customized service.

[1084] Hardware and software used

[1085] Hardware:

[1086] Device: A device such as a smartphone, tablet, or computer where a user enters information.

[1087] Server: A central computer system that stores, analyzes, and processes information.

[1088] Database Server: A storage system for storing user information and feedback data.

[1089] Cooking system: Kitchen equipment for preparing a selected dish or set of ingredients.

[1090] Delivery system: A logistics network for delivering meals and ingredient sets to users' homes.

[1091] software:

[1092] Web or mobile application: An interface where users can enter family information, feedback, and place orders.

[1093] Algorithm engine: An algorithm for selecting the best menu based on family information.

[1094] Feedback analysis tool: A tool that analyzes user feedback and reflects it in the next menu selection.

[1095] Specific examples

[1096] For example, consider a family where the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. The user uses the application to enter this information as family information. The device sends the information to the server, which then stores it in a database.

[1097] The user then selects "prepared meal" for their first order and sets the delivery cycle to weekly. The device sends the selection information to the server, which stores the received data and suggests "low-salt Japanese menu items" such as stewed chicken with plenty of vegetables and simmered hijiki seaweed.

[1098] After the food is delivered to the home and the user enjoys the meal, they can enter feedback using an application or website. For example, they can send feedback such as "The chicken was big." The device then sends the feedback information to the server, which stores it in a database.

[1099] When selecting the next menu, the server analyzes the feedback information and adjusts the size of the chicken to be smaller in the next dish.The server notifies the user of the new menu that reflects this feedback and reflects it in the next order.

[1100] Examples of prompt statements

[1101] "If a user enters information about a family member with diabetes and requests a low-sodium, vegetable-rich menu, what dishes would you suggest? Please explain specifically why those dishes are suitable."

[1102] This system seamlessly reflects the user's input information and feedback to continuously provide customized, optimal meals, thereby supporting the maintenance of family health and a satisfying dietary lifestyle.

[1103] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1104] Step 1: User registration and family information entry

[1105] Input: A user visits an application or website and enters basic information such as their name, email address, and password.

[1106] How it works: The terminal displays an input form and the user enters information. The terminal validates the format and content of the input data in real time and displays an error message if any information is missing or inappropriate.

[1107] Output: The verified user information is sent from the device to the server, which stores the data in a database.

[1108] Step 2: Enter detailed family information

[1109] Input: The user enters detailed family information such as age, medical conditions, preferences, and dietary preferences.

[1110] How it works: The terminal dynamically generates a form, and the user enters family information. The terminal then sends this information back to the server.

[1111] Output: The server receives detailed family information and stores it in a database to build individual profiles.

[1112] Step 3: Select your first order

[1113] Input: The user selects a complete meal or ingredient kit and sets a delivery frequency in the app or website.

[1114] How it works: The device displays a selection form, the user enters their selection, and the device sends the selection to the server.

[1115] Output: The server saves the selection to the database and records the initial order.

[1116] Step 4: Menu Selection

[1117] Input: The server retrieves the user's family information and initial order information.

[1118] How it works: The algorithm engine on the server selects the optimal menu taking into account nutritional balance, preferences, dietary restrictions, etc.

[1119] Output: The server sends the selected menu and customization information to the kitchen system.

[1120] Step 5: Prepare your dish or ingredient set

[1121] Input: Menu and customization information from the server.

[1122] How it works: The kitchen system receives cooking instructions, and the automated cooking devices carry out the cooking plan.

[1123] Output: A finished dish or set of ingredients is prepared.

[1124] Step 6: Delivery

[1125] Input: A finished dish or set of ingredients.

[1126] How it works: The delivery system receives the prepared meal or ingredient set and delivers it to the user's home. The server manages the delivery status in real time and notifies the user's device.

[1127] Output: The delivered dish or set of ingredients.

[1128] Step 7: Post-meal feedback

[1129] Input: User enters feedback after eating.

[1130] How it works: The device asks questions such as flavor intensity, size of ingredients, and overall satisfaction, and the user inputs this information. The device then sends the feedback information to the server.

[1131] Output: The server receives the feedback data and stores it in a database.

[1132] Step 8: Analyze feedback and incorporate it into your next order

[1133] Input: Stored feedback data.

[1134] How it works: The server analyzes the feedback data and reflects it in the next menu selection. The algorithm engine optimizes the new menu based on the feedback.

[1135] Output: The improved menu is notified to the user and reflected in their next order.

[1136] This allows for customized meals to be provided based on the user's individual needs and feedback.

[1137] (Application example 1)

[1138] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1139] In modern life, there is a demand for a system that can support busy families' dietary habits in a fully personalized manner. However, current food delivery services have difficulty providing menus that fully reflect the user's individual preferences, health status, and past feedback information. Another problem is the lack of a system that continuously incorporates user feedback and reflects it in the selection of the next meal or meal kit. Furthermore, there are insufficient means to automatically optimize menus based on collected data, making it difficult to improve the quality of household diets.

[1140] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1141] In this invention, the server includes a means for storing family information and feedback information in a database, a means for using an algorithm to optimize the next menu based on the feedback information, and a means for selecting individually appropriate dishes or meal kits based on the user's family information, thereby enabling optimal menu suggestions based on the user's preferences and health condition and continuous improvement based on these suggestions.

[1142] "Family information" is detailed data such as the user's family structure, age, chronic illnesses, preferences, and dietary preferences.

[1143] A "meal or meal kit" is a prepared meal or kit containing the necessary ingredients and cooking instructions for home consumption.

[1144] "Delivery" refers to sending the selected meal or meal kit to the user's home.

[1145] "Feedback" refers to data regarding users' ratings and opinions of the meals and meal kits they consumed, as well as specific areas for improvement.

[1146] The "database" is an electronic information storage system for organizing and storing family information and feedback information.

[1147] An "algorithm" is a set of calculation rules or logical procedures for selecting and adjusting the optimal menu based on input data.

[1148] "Menu optimization" is the process of improving and adjusting the contents of the next meal or meal kit offered, taking into account user feedback and family information.

[1149] The system of the present invention is designed to support the dietary habits of individual households through a food delivery service. This system optimizes menus for future meals based on family information and feedback information.

[1150] 1. User registration and information entry

[1151] First, a user creates a new account through an application or website. The device, such as a smartphone, displays an input form for basic information such as username, email address, and password, and the information entered is sent to a server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, chronic illnesses, preferences, and dietary preferences. The device then sends this information back to the server, which then stores the received family information in a database, building an individual profile for each user.

[1152] 2. Select your first order

[1153] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[1154] 3. Menu selection and cooking

[1155] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit based on the family information and feedback, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home via delivery means.

[1156] 4. Post-meal feedback

[1157] After eating, users enter their feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[1158] 5. Reflection in next order

[1159] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[1160] Specific examples

[1161] For example, in a household where the 35-year-old father has diabetes, family information is provided, such as a preference for Japanese food but a preference for low-salt options. In this case, the server selects low-salt options for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the selection of the next dish. For example, if the user provides feedback that "the chicken was too big," the size of the chicken will be adjusted to be smaller the next time.

[1162] Hardware and software used

[1163] Hardware: Smartphone (users use the application), server (data processing and storage), delivery method (delivery of food and meal kits)

[1164] Software: Flask (web application development with Python), MongoDB (database management system), Algorithms (menu selection and optimization)

[1165] Prompt Sentence Examples

[1166] "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu."

[1167] This allows the invention to provide users with customized, nutritionally balanced meals and continually optimize their family's diet.

[1168] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1169] Step 1:

[1170] A user opens an application or website to create a new account. The device displays a form with basic information, such as username, email address, and password. The user enters the information, which is then sent from the device to the server. The server receives the information and stores it in a database.

[1171] Step 2:

[1172] The user enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences. The device then sends this information back to the server, which stores the received family information in a database and creates an individual profile for each user.

[1173] Step 3:

[1174] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[1175] Step 4:

[1176] The server uses an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm takes into account family information and health status, and determines the optimal dish or meal kit based on nutritional balance, preferences, dietary restrictions, etc. The results of this selection are sent from the server to the kitchen system.

[1177] Step 5:

[1178] The kitchen system creates a cooking plan based on instructions received from the server. Kitchen staff prepare the food or meal kit according to the established procedures, then package and label it. The finished food or meal kit is delivered to the home by delivery means.

[1179] Step 6:

[1180] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[1181] Step 7:

[1182] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process to determine the optimal dish or meal kit, taking the feedback into account. The server then notifies the user of this improved menu, which is then reflected in the next order.

[1183] Step 8:

[1184] The kitchen system updates the cooking plan according to the improved menu based on instructions from the server, and the prepared meals and meal kits are delivered to the home and served to the user.

[1185] Step 9:

[1186] The user then enters their feedback again, which is used to improve the next meal. This cyclical process ensures that the meals and meal kits provided to users are continually optimized and tailored to their individual preferences and health conditions.

[1187] Step 10:

[1188] An example of a prompt sentence is, "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu." This allows the system to provide the optimal menu based on the specific request.

[1189] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1190] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[1191] User registration and information entry

[1192] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[1193] First order selection

[1194] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[1195] Menu selection and cooking

[1196] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[1197] Post-meal feedback and emotion recognition

[1198] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[1199] Reflection in next order

[1200] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[1201] Specific examples

[1202] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[1203] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[1204] The processing flow will be explained below.

[1205] Step 1:

[1206] A user opens an application or website and begins creating a new account.

[1207] Step 2:

[1208] The device will display a form for you to enter basic information such as your username, email address, and password.

[1209] Step 3:

[1210] The user enters the required information and presses the account creation button.

[1211] Step 4:

[1212] The terminal transmits the input information to the server.

[1213] Step 5:

[1214] The server stores the received user information in a database and creates an account.

[1215] Step 6:

[1216] The server sends the user an email confirming the account creation.

[1217] Step 7:

[1218] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[1219] Step 8:

[1220] The device displays a form for entering family information.

[1221] Step 9:

[1222] The user enters the necessary family information and presses the send button.

[1223] Step 10:

[1224] The terminal transmits the input information to the server.

[1225] Step 11:

[1226] The server receives the family information and stores it in a database.

[1227] Step 12:

[1228] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[1229] Step 13:

[1230] The device will display options (prepared product, meal kit, delivery cycle).

[1231] Step 14:

[1232] The user makes a selection and presses the confirm button.

[1233] Step 15:

[1234] The terminal transmits the user's selection information to the server.

[1235] Step 16:

[1236] The server saves the selected information in a database to record the initial order.

[1237] Step 17:

[1238] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[1239] Step 18:

[1240] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[1241] Step 19:

[1242] The server sends the selected menu and customization information to the kitchen system.

[1243] Step 20:

[1244] The kitchen creates a cooking plan based on the data received and begins cooking.

[1245] Step 21:

[1246] The kitchen completes the cooking and sends a delivery request to the delivery company.

[1247] Step 22:

[1248] A delivery company delivers the meal or meal kit to the user's home.

[1249] Step 23:

[1250] After the meal, the user opens an application or website to enter feedback.

[1251] Step 24:

[1252] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[1253] Step 25:

[1254] The user enters feedback and presses the submit button.

[1255] Step 26:

[1256] The terminal transmits the input feedback information to the server.

[1257] Step 27:

[1258] The device uses its built-in camera and microphone to collect the user's facial expressions and voice.

[1259] Step 28:

[1260] The device uses an emotion engine to analyze the collected facial and voice data and recognize the user's emotions.

[1261] Step 29:

[1262] The device transmits the recognized emotion data to the server.

[1263] Step 30:

[1264] The server stores the received feedback data and emotion data in a database and analyzes them.

[1265] Step 31:

[1266] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[1267] Step 32:

[1268] The server will select a new menu item and record it as your next order.

[1269] Step 33:

[1270] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[1271] Example 2

[1272] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1273] In today's busy home environment, it is extremely difficult to prepare meals that are tailored to the health status and preferences of each family member. Furthermore, to enhance meal satisfaction, it is important to accurately reflect user feedback and emotional information, but existing systems have not fully achieved this. In particular, incorporating emotional information is necessary to achieve more precise customization and improve user satisfaction.

[1274] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1275] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, means for analyzing the user's emotional information, and means for reflecting the emotional information in the next dish or meal kit selection. This makes it possible to provide meals tailored to the individual needs of each family member, improve the accuracy of the next menu selection based on the feedback and emotional information, and increase user satisfaction.

[1276] "Family information" is detailed information about each family member, such as the ages, chronic illnesses, preferences, and dietary wishes of family members.

[1277] A "terminal" is a device that a user uses to input or view data, and specifically refers to a smartphone, tablet, PC, etc.

[1278] A "server" is a computer system that receives, processes, and stores information sent by users in a database.

[1279] "Feedback" refers to opinions and impressions provided by users after eating, and specifically includes information about the strength of the flavor, the size of the ingredients, and overall satisfaction.

[1280] "Emotion information" is information about the user's emotional state, such as satisfaction or dissatisfaction, obtained by analyzing the user's facial expressions and voice.

[1281] "Meal" or "meal kit" means food provided for home consumption, either a pre-prepared meal or a pre-cooked meal kit.

[1282] An "algorithm" is a computational method for selecting the optimal meal or meal kit based on the user's family information, feedback, and emotional information.

[1283] The "database" is an information management system that stores the user's family information, feedback, emotional information, etc., and retrieves them as needed.

[1284] The "kitchen system" is an in-facility system that creates cooking plans based on the selected menu and customization information, and then actually prepares the food.

[1285] The system of the present invention allows users to more easily manage their family's diet and provides customized meals and meal kits. This system integrates family information input, meal and meal kit selection, delivery, feedback collection and reflection, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[1286] User registration and information entry

[1287] A user first opens an application or website and begins creating a new account. The device displays a form for the user to enter basic information such as username, email address, and password. After the user enters and submits the required information, the device sends this information to the server. The server stores the received information in a database and then displays a form for the user to enter details about their family members (age, medical conditions, preferences, dietary preferences, etc.). The user enters this information, and the device sends it back to the server. The server stores the received family information in a database and builds an individual profile for each user.

[1288] First order selection

[1289] The user selects whether to order a pre-made meal or a meal kit and sets the delivery cycle through the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[1290] Menu selection and cooking

[1291] The server runs an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit, taking into account nutritional balance, family preferences, and dietary restrictions. The selected menu and customization information are sent from the server to the kitchen system, which then creates a cooking plan. Kitchen staff cook according to the plan, and the completed dish or meal kit is delivered to the home by a delivery company.

[1292] Post-meal feedback and emotion recognition

[1293] After eating, users enter feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[1294] Reflection in next order

[1295] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[1296] Specific examples

[1297] For example, if a family member's 35-year-old father has diabetes and the family information is provided, indicating that he likes Japanese food but prefers it to be low in salt, the server will select a low-salt menu for diabetics. Specifically, it will suggest chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[1298] Prompt Sentence Examples

[1299] "Create a system that allows users to input their family members' ages, medical conditions, preferences, and dietary needs, and then suggests the best dishes based on their feedback and emotional information. The system should use a database to store the user's information and an algorithm to select the best menu. It should also include a function that uses an emotional engine to analyze the user's emotions and reflect them in the next order."

[1300] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1301] Step 1:

[1302] A user opens an application or website and begins creating a new account.

[1303] Input: The action by which a user accesses your site or application.

[1304] Output: The account entry form is displayed.

[1305] Step 2:

[1306] The device will display a form for you to enter basic information such as your username, email address, and password.

[1307] Input: The user's account creation request.

[1308] Output: Basic information input form.

[1309] Step 3:

[1310] The user enters the required information into the form and clicks the submit button.

[1311] Input: User data entered into the basic information form.

[1312] Output: Input data is sent from the device to the server.

[1313] Step 4:

[1314] The server receives the entered information and stores it in a database.

[1315] Input: Basic user information sent from the device.

[1316] Output: User information stored in the database.

[1317] Step 5:

[1318] The server returns a completion notification to the terminal and displays a form for the user to enter detailed information about their family members (age, chronic illnesses, preferences, dietary preferences, etc.).

[1319] Input: Server completion notification.

[1320] Output: Family information entry form.

[1321] Step 6:

[1322] The user enters the family information and clicks the submit button.

[1323] Input: User data entered into the family information form.

[1324] Output: Input data is sent from the device to the server.

[1325] Step 7:

[1326] The server receives the entered family information and stores it in a database.

[1327] Input: Family information sent from the device.

[1328] Output: Family information stored in a database.

[1329] Step 8:

[1330] The server builds an individual profile for each user.

[1331] Input: Saved user basic information and family information.

[1332] Output: A personal profile of the user is built in the database.

[1333] Step 9:

[1334] Users can choose between a pre-made meal or a meal kit and set their delivery schedule on the app or website.

[1335] Input: The user's meal or meal kit selection and delivery frequency preferences.

[1336] Output: The selection information is sent from the device to the server.

[1337] Step 10:

[1338] The server stores the received data in a database and records the initial order.

[1339] Input: Selection information sent from the terminal.

[1340] Output: Initial order information stored in the database.

[1341] Step 11:

[1342] The server runs an algorithm to select an appropriate menu based on the user's family information and first order information.

[1343] Input: Saved family information and initial order information.

[1344] Output: Selection of optimal menu.

[1345] Step 12:

[1346] The server sends the selected menu and customization information to the kitchen system.

[1347] Input: Selected menu information.

[1348] Output: Menu and customization information sent to the kitchen system.

[1349] Step 13:

[1350] The kitchen system creates a cooking plan, and the kitchen staff cooks according to the plan.

[1351] Input: Cooking plan sent to the kitchen system.

[1352] Output: Cooked food or prepared meal kit.

[1353] Step 14:

[1354] A delivery company will deliver the finished meal or meal kit to your home.

[1355] Input: Delivery order from the kitchen system to the delivery company.

[1356] Output: Meals or meal kits delivered to homes.

[1357] Step 15:

[1358] After eating, users enter their feedback into an application or website.

[1359] Input: User feedback data (strength of flavor, size of ingredients, overall satisfaction).

[1360] Output: Feedback information is sent from the device to the server.

[1361] Step 16:

[1362] The device uses its built-in camera and microphone to analyze the user's facial expressions and voice.

[1363] Input: User's facial expressions and voice.

[1364] Output: Emotion information parsed by the emotion engine.

[1365] Step 17:

[1366] The device sends the analysis results to a server, which then stores the feedback data and emotion data in a database.

[1367] Input: Emotion information parsed by the emotion engine.

[1368] Output: Feedback and emotion data stored in a database.

[1369] Step 18:

[1370] The server uses an algorithm to incorporate the feedback information and emotion data into the next menu selection.

[1371] Input: Stored feedback and emotion data.

[1372] Output: Improved menu selection.

[1373] Step 19:

[1374] The server will notify the user of the improved menu and reflect it in their next order.

[1375] Input: Improved menu information.

[1376] Output: New menu information notified to the user.

[1377] (Application example 2)

[1378] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1379] In recent years, with the diversification of lifestyles, there has been an increasing need for personalized meal delivery in homes. However, systems that can accommodate the different ages, health conditions, preferences, and dietary restrictions of each household have not yet been fully developed. Furthermore, conventional methods have had difficulty accurately grasping the user's emotions and reflecting them in the next menu selection. For this reason, more advanced customization is required to increase user satisfaction. The present invention aims to solve these problems and provide a food delivery system that can provide high satisfaction to each user.

[1380] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1381] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, emotion recognition means for recognizing the user's emotions using a camera or microphone, and means for reflecting the emotion information obtained by the emotion recognition means in the next dish or meal kit selection. This enables highly accurate dish or meal kit selection based on the user's family information and emotion data, thereby improving user satisfaction.

[1382] "Family information" is attribute information about the user's family, such as age, health condition, preferences, and dietary preferences.

[1383] A "meal or meal kit" is a set of ingredients and a recipe for a user to prepare at home, or a meal that is already prepared and ready to consume.

[1384] "Delivery" is the process of delivering the selected meal or meal kit to your home.

[1385] "Feedback" is evaluation information such as the strength of flavor, the size of ingredients, and overall satisfaction level provided by the user after eating.

[1386] "Emotion recognition" is a technology that uses cameras and microphones to analyze and identify emotions from a user's facial expressions and voice.

[1387] The "emotion recognition means" is a means for detecting and analyzing the user's emotions using a camera or microphone.

[1388] "Reflect on next meal or meal kit selection" means improving future menu and ingredient selections based on feedback and emotional information.

[1389] MODE FOR CARRYING OUT THE INVENTION

[1390] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[1391] User registration and information entry

[1392] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, health status, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[1393] First order selection

[1394] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[1395] Menu selection and cooking

[1396] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[1397] Post-meal feedback and emotion recognition

[1398] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[1399] Reflection in next order

[1400] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[1401] Specific examples

[1402] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[1403] Prompt Sentence Examples

[1404] Based on the user's health information and preferences, it will suggest the best dishes to eat and analyze their emotions after eating.

[1405] Name: Taro

[1406] Age: 35

[1407] Health Condition: Diabetes

[1408] Favorite food: Japanese food

[1409] Dietary Restrictions: Low Sodium

[1410] Menu suggestions: Chicken stew with plenty of vegetables, simmered hijiki seaweed

[1411] Feedback: Great taste, perfect portion size, overall satisfaction high

[1412] Emotions: Smiling, lots of calmness

[1413] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[1414] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1415] Program processing flow

[1416] Step 1:

[1417] A user opens an application or website and begins creating a new account. An input screen appears, where basic information such as a username, email address, and password is entered, and the user presses the submit button. The entered information is sent from the device to the server, which receives the information and stores it in a database.

[1418] Input: Username, Email Address, Password

[1419] Data processing: Format check and encryption of input data

[1420] Output: Send to server, save to database

[1421] Step 2:

[1422] The user then enters detailed information about their family members, such as their age, health status, preferences, and dietary preferences. The entered family information is sent from the device to a server and stored in a database, which then creates an individual profile for each user.

[1423] Input: Family members' ages, health status, preferences, and dietary preferences

[1424] Data processing: Data validation and formatting Output: Saving to database

[1425] Step 3:

[1426] Users can choose between a pre-made meal or a meal kit and set their delivery schedule via the app or website. The selection is sent from the device to the server, which stores the data in a database to record the initial order.

[1427] Input: Choice of meal or meal kit, delivery cycle

[1428] Data processing: formatting selected data, calculating delivery dates

[1429] Output: Save to database

[1430] Step 4:

[1431] The server runs an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm selects the optimal dish or meal kit, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan.

[1432] Input: Family information, initial order information

[1433] Data processing: Algorithm-based menu selection and customization information generation

[1434] Output: Send to kitchen system, create cooking plan

[1435] Step 5:

[1436] The kitchen will then prepare the food based on the cooking plan, and the finished meal or meal kit will be delivered to your home by a delivery company.

[1437] Input: Cooking plan

[1438] Specific actions: Cooking and packaging according to cooking instructions

[1439] Output: Delivery of finished products

[1440] Step 6:

[1441] After eating, users provide feedback via an application or website. The device prompts the user with questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction, and sends the entered feedback information to the server.

[1442] Input: Strength of flavor, size of ingredients, overall satisfaction

[1443] Data processing: collection and formatting of feedback data

[1444] Output: Send to server, save to database

[1445] Step 7:

[1446] Using the device's built-in camera and microphone, an emotion engine is activated that analyzes the user's facial expressions and voice after the meal. The emotion engine analyzes the user's emotional information and sends the results to the server.

[1447] Input: facial expression data, voice data

[1448] Data processing: Analysis using emotion engine, generation of emotion information

[1449] Output: Send to server, save to database

[1450] Step 8:

[1451] The server reflects the analyzed feedback information and emotion data in the next menu selection. It then starts a new selection process, taking into account the feedback and emotion information, to determine the optimal dish or meal kit. The server notifies the user of the improved menu and reflects it in the next order.

[1452] Input: Feedback information, emotion information

[1453] Data processing: Integrating feedback and sentiment data, selecting the next menu

[1454] Output: User notification, database update

[1455] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1456] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1457] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1458] [Fourth embodiment]

[1459] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1460] 7, a 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.

[1461] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. 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. The database 24 and the communication I / F 26 are also 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).

[1462] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. 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. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1463] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1464] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1465] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1466] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1467] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1468] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1469] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1470] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1471] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1472] The system of the present invention integrates the processes of inputting family information, selecting meals and meal kits, delivery, and collecting and incorporating feedback. Specific embodiments of each process are described below.

[1473] User registration and information entry

[1474] It begins when a user opens an application or website and creates a new account. The device displays a form asking for basic information such as username, email address, and password, and the information is sent to the server. The server receives this information and stores it in a database. The user then enters more detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and the device sends this information back to the server. The server then stores the received family information in a database, building an individual profile for each user.

[1475] First order selection

[1476] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[1477] Menu selection and cooking

[1478] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[1479] Post-meal feedback

[1480] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[1481] Reflection in next order

[1482] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[1483] Specific examples

[1484] For example, suppose a family's information is provided, stating that the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. In this case, the server will select low-salt dishes for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or hijiki seaweed stew. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the next dish selection. For example, if the feedback is that "the chicken was too big," the size of the chicken will be adjusted to be smaller in the next dish.

[1485] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits.

[1486] The processing flow will be explained below.

[1487] Step 1:

[1488] A user opens an application or website and begins creating a new account.

[1489] Step 2:

[1490] The device will display a form for you to enter basic information such as your username, email address, and password.

[1491] Step 3:

[1492] The user enters the required information and presses the account creation button.

[1493] Step 4:

[1494] The terminal transmits the input information to the server.

[1495] Step 5:

[1496] The server stores the received user information in a database and creates an account.

[1497] Step 6:

[1498] The server sends the user an email confirming the account creation.

[1499] Step 7:

[1500] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[1501] Step 8:

[1502] The device displays a form for entering family information.

[1503] Step 9:

[1504] The user enters the necessary family information and presses the send button.

[1505] Step 10:

[1506] The terminal transmits the input information to the server.

[1507] Step 11:

[1508] The server receives the family information and stores it in a database.

[1509] Step 12:

[1510] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[1511] Step 13:

[1512] The device will display options (prepared product, meal kit, delivery cycle).

[1513] Step 14:

[1514] The user makes a selection and presses the confirm button.

[1515] Step 15:

[1516] The terminal transmits the user's selection information to the server.

[1517] Step 16:

[1518] The server saves the selected information in a database to record the initial order.

[1519] Step 17:

[1520] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[1521] Step 18:

[1522] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[1523] Step 19:

[1524] The server sends the selected menu and customization information to the kitchen system.

[1525] Step 20:

[1526] The kitchen system creates a cooking plan based on the data received and begins cooking.

[1527] Step 21:

[1528] After the cooking is complete, the kitchen system requests delivery from the delivery company.

[1529] Step 22:

[1530] A delivery company delivers the meal or meal kit to the user's home.

[1531] Step 23:

[1532] After the meal, the user opens an application or website to enter feedback.

[1533] Step 24:

[1534] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[1535] Step 25:

[1536] The user enters feedback and presses the submit button.

[1537] Step 26:

[1538] The terminal transmits the input feedback information to the server.

[1539] Step 27:

[1540] The server stores the received feedback data in a database and analyzes it.

[1541] Step 28:

[1542] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[1543] Step 29:

[1544] The server will select a new menu item and record it as your next order.

[1545] Step 30:

[1546] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[1547] Example 1

[1548] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1549] A system that selects and delivers the optimal meals and meal kits to homes based on family composition, health status, and individual preferences must efficiently provide meals that meet individual needs. Another challenge is to provide a continuously satisfying service by collecting feedback on meals and incorporating it into the next menu selection. This will effectively support maintaining family health and improving eating habits.

[1550] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1551] In this invention, the server includes a means for the user to input family information, a means for the terminal to transmit the user's input information to the server and the server storing the received information in a database, a means for the server to select an individually appropriate dish or ingredient set based on the user's family information, a means for delivering the selected dish or ingredient set to the home, a means for the user to input feedback after the meal, a means for the terminal to transmit the input feedback information to the server and the server to store and analyze the received feedback in a database, and a means for reflecting the feedback in the selection of the next dish or ingredient set. This makes it possible to provide a customized meal that reflects the user's individual needs and feedback.

[1552] "User" refers to an individual or group that uses the system.

[1553] "Family information" refers to detailed information about the user and their family members, such as age, chronic illnesses, preferences, and dietary preferences.

[1554] "Terminal" refers to a device, such as a computer, smartphone, or tablet, through which a user enters information and accesses the system.

[1555] "Server" refers to a central computer system that receives, stores, analyzes, and processes input information.

[1556] "Means" refers to various mechanisms and processes for performing specific functions or roles.

[1557] A "database" refers to an information system for managing and storing user information and data necessary for system operation.

[1558] "Cooked" refers to food that has been cooked and is ready to eat.

[1559] "Ingredient set" refers to ingredients and recipes prepared for users to cook at home.

[1560] "Delivery" refers to the process of delivering the selected meal or ingredient set to the user's home.

[1561] "Feedback" refers to the opinions and impressions provided by users after eating.

[1562] "Analysis" refers to the process of processing data based on collected feedback information to extract trends and patterns.

[1563] The system of the present invention allows users to input family information, and based on that information, selects and delivers appropriate dishes or ingredient sets, collects and incorporates feedback, etc. The purpose of the present invention is to propose optimal menus based on the family information entered by the user, and to provide a continuously customized service.

[1564] Hardware and software used

[1565] Hardware:

[1566] Device: A device such as a smartphone, tablet, or computer where a user enters information.

[1567] Server: A central computer system that stores, analyzes, and processes information.

[1568] Database Server: A storage system for storing user information and feedback data.

[1569] Cooking system: Kitchen equipment for preparing a selected dish or set of ingredients.

[1570] Delivery system: A logistics network for delivering meals and ingredient sets to users' homes.

[1571] software:

[1572] Web or mobile application: An interface where users can enter family information, feedback, and place orders.

[1573] Algorithm engine: An algorithm for selecting the best menu based on family information.

[1574] Feedback analysis tool: A tool that analyzes user feedback and reflects it in the next menu selection.

[1575] Specific examples

[1576] For example, consider a family where the 35-year-old father has diabetes and likes Japanese food but prefers it to be low in salt. The user uses the application to enter this information as family information. The device sends the information to the server, which then stores it in a database.

[1577] The user then selects "prepared meal" for their first order and sets the delivery cycle to weekly. The device sends the selection information to the server, which stores the received data and suggests "low-salt Japanese menu items" such as stewed chicken with plenty of vegetables and simmered hijiki seaweed.

[1578] After the food is delivered to the home and the user enjoys the meal, they can enter feedback using an application or website. For example, they can send feedback such as "The chicken was big." The device then sends the feedback information to the server, which stores it in a database.

[1579] When selecting the next menu, the server analyzes the feedback information and adjusts the size of the chicken to be smaller in the next dish.The server notifies the user of the new menu that reflects this feedback and reflects it in the next order.

[1580] Examples of prompt statements

[1581] "If a user enters information about a family member with diabetes and requests a low-sodium, vegetable-rich menu, what dishes would you suggest? Please explain specifically why those dishes are suitable."

[1582] This system seamlessly reflects the user's input information and feedback to continuously provide customized, optimal meals, thereby supporting the maintenance of family health and a satisfying dietary lifestyle.

[1583] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1584] Step 1: User registration and family information entry

[1585] Input: A user visits an application or website and enters basic information such as their name, email address, and password.

[1586] How it works: The terminal displays an input form and the user enters information. The terminal validates the format and content of the input data in real time and displays an error message if any information is missing or inappropriate.

[1587] Output: The verified user information is sent from the device to the server, which stores the data in a database.

[1588] Step 2: Enter detailed family information

[1589] Input: The user enters detailed family information such as age, medical conditions, preferences, and dietary preferences.

[1590] How it works: The terminal dynamically generates a form, and the user enters family information. The terminal then sends this information back to the server.

[1591] Output: The server receives detailed family information and stores it in a database to build individual profiles.

[1592] Step 3: Select your first order

[1593] Input: The user selects a complete meal or ingredient kit and sets a delivery frequency in the app or website.

[1594] How it works: The device displays a selection form, the user enters their selection, and the device sends the selection to the server.

[1595] Output: The server saves the selection to the database and records the initial order.

[1596] Step 4: Menu Selection

[1597] Input: The server retrieves the user's family information and initial order information.

[1598] How it works: The algorithm engine on the server selects the optimal menu taking into account nutritional balance, preferences, dietary restrictions, etc.

[1599] Output: The server sends the selected menu and customization information to the kitchen system.

[1600] Step 5: Prepare your dish or ingredient set

[1601] Input: Menu and customization information from the server.

[1602] How it works: The kitchen system receives cooking instructions, and the automated cooking devices carry out the cooking plan.

[1603] Output: A finished dish or set of ingredients is prepared.

[1604] Step 6: Delivery

[1605] Input: A finished dish or set of ingredients.

[1606] How it works: The delivery system receives the prepared meal or ingredient set and delivers it to the user's home. The server manages the delivery status in real time and notifies the user's device.

[1607] Output: The delivered dish or set of ingredients.

[1608] Step 7: Post-meal feedback

[1609] Input: User enters feedback after eating.

[1610] How it works: The device asks questions such as flavor intensity, size of ingredients, and overall satisfaction, and the user inputs this information. The device then sends the feedback information to the server.

[1611] Output: The server receives the feedback data and stores it in a database.

[1612] Step 8: Analyze feedback and incorporate it into your next order

[1613] Input: Stored feedback data.

[1614] How it works: The server analyzes the feedback data and reflects it in the next menu selection. The algorithm engine optimizes the new menu based on the feedback.

[1615] Output: The improved menu is notified to the user and reflected in their next order.

[1616] This allows for customized meals to be provided based on the user's individual needs and feedback.

[1617] (Application example 1)

[1618] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1619] In modern life, there is a demand for a system that can support busy families' dietary habits in a fully personalized manner. However, current food delivery services have difficulty providing menus that fully reflect the user's individual preferences, health status, and past feedback information. Another problem is the lack of a system that continuously incorporates user feedback and reflects it in the selection of the next meal or meal kit. Furthermore, there are insufficient means to automatically optimize menus based on collected data, making it difficult to improve the quality of household diets.

[1620] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1621] In this invention, the server includes a means for storing family information and feedback information in a database, a means for using an algorithm to optimize the next menu based on the feedback information, and a means for selecting individually appropriate dishes or meal kits based on the user's family information, thereby enabling optimal menu suggestions based on the user's preferences and health condition and continuous improvement based on these suggestions.

[1622] "Family information" is detailed data such as the user's family structure, age, chronic illnesses, preferences, and dietary preferences.

[1623] A "meal or meal kit" is a prepared meal or kit containing the necessary ingredients and cooking instructions for home consumption.

[1624] "Delivery" refers to sending the selected meal or meal kit to the user's home.

[1625] "Feedback" refers to data regarding users' ratings and opinions of the meals and meal kits they consumed, as well as specific areas for improvement.

[1626] The "database" is an electronic information storage system for organizing and storing family information and feedback information.

[1627] An "algorithm" is a set of calculation rules or logical procedures for selecting and adjusting the optimal menu based on input data.

[1628] "Menu optimization" is the process of improving and adjusting the contents of the next meal or meal kit offered, taking into account user feedback and family information.

[1629] The system of the present invention is designed to support the dietary habits of individual households through a food delivery service. This system optimizes menus for future meals based on family information and feedback information.

[1630] 1. User registration and information entry

[1631] First, a user creates a new account through an application or website. The device, such as a smartphone, displays an input form for basic information such as username, email address, and password, and the information entered is sent to a server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, chronic illnesses, preferences, and dietary preferences. The device then sends this information back to the server, which then stores the received family information in a database, building an individual profile for each user.

[1632] 2. Select your first order

[1633] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[1634] 3. Menu selection and cooking

[1635] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit based on the family information and feedback, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home via delivery means.

[1636] 4. Post-meal feedback

[1637] After eating, users enter their feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[1638] 5. Reflection in next order

[1639] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process, taking the feedback into account to determine the optimal dish or meal kit. The server then notifies the user of the improved menu and incorporates it into their next order.

[1640] Specific examples

[1641] For example, in a household where the 35-year-old father has diabetes, family information is provided, such as a preference for Japanese food but a preference for low-salt options. In this case, the server selects low-salt options for diabetics, suggesting dishes such as chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user can input feedback about the size of the ingredients and the strength of the flavor, which will be reflected in the selection of the next dish. For example, if the user provides feedback that "the chicken was too big," the size of the chicken will be adjusted to be smaller the next time.

[1642] Hardware and software used

[1643] Hardware: Smartphone (users use the application), server (data processing and storage), delivery method (delivery of food and meal kits)

[1644] Software: Flask (web application development with Python), MongoDB (database management system), Algorithms (menu selection and optimization)

[1645] Prompt Sentence Examples

[1646] "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu."

[1647] This allows the invention to provide users with customized, nutritionally balanced meals and continually optimize their family's diet.

[1648] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1649] Step 1:

[1650] A user opens an application or website to create a new account. The device displays a form with basic information, such as username, email address, and password. The user enters the information, which is then sent from the device to the server. The server receives the information and stores it in a database.

[1651] Step 2:

[1652] The user enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences. The device then sends this information back to the server, which stores the received family information in a database and creates an individual profile for each user.

[1653] Step 3:

[1654] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends this selection to the server, which stores the data in a database to record the initial order.

[1655] Step 4:

[1656] The server uses an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm takes into account family information and health status, and determines the optimal dish or meal kit based on nutritional balance, preferences, dietary restrictions, etc. The results of this selection are sent from the server to the kitchen system.

[1657] Step 5:

[1658] The kitchen system creates a cooking plan based on instructions received from the server. Kitchen staff prepare the food or meal kit according to the established procedures, then package and label it. The finished food or meal kit is delivered to the home by delivery means.

[1659] Step 6:

[1660] After eating, users enter their feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The server stores this feedback data in a database and analyzes it to extract the user's preferences and requests.

[1661] Step 7:

[1662] The server then analyzes the feedback and incorporates it into the next menu selection. It then initiates a new selection process to determine the optimal dish or meal kit, taking the feedback into account. The server then notifies the user of this improved menu, which is then reflected in the next order.

[1663] Step 8:

[1664] The kitchen system updates the cooking plan according to the improved menu based on instructions from the server, and the prepared meals and meal kits are delivered to the home and served to the user.

[1665] Step 9:

[1666] The user then enters their feedback again, which is used to improve the next meal. This cyclical process ensures that the meals and meal kits provided to users are continually optimized and tailored to their individual preferences and health conditions.

[1667] Step 10:

[1668] An example of a prompt sentence is, "My 35-year-old father has diabetes and likes Japanese food, but would like a low-salt menu. Please generate an appropriate low-salt menu." This allows the system to provide the optimal menu based on the specific request.

[1669] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1670] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[1671] User registration and information entry

[1672] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, medical conditions, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[1673] First order selection

[1674] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[1675] Menu selection and cooking

[1676] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[1677] Post-meal feedback and emotion recognition

[1678] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[1679] Reflection in next order

[1680] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[1681] Specific examples

[1682] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[1683] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[1684] The processing flow will be explained below.

[1685] Step 1:

[1686] A user opens an application or website and begins creating a new account.

[1687] Step 2:

[1688] The device will display a form for you to enter basic information such as your username, email address, and password.

[1689] Step 3:

[1690] The user enters the required information and presses the account creation button.

[1691] Step 4:

[1692] The terminal transmits the input information to the server.

[1693] Step 5:

[1694] The server stores the received user information in a database and creates an account.

[1695] Step 6:

[1696] The server sends the user an email confirming the account creation.

[1697] Step 7:

[1698] A user logs in to enter family information (age, medical conditions, preferences, dietary preferences, etc.).

[1699] Step 8:

[1700] The device displays a form for entering family information.

[1701] Step 9:

[1702] The user enters the necessary family information and presses the send button.

[1703] Step 10:

[1704] The terminal transmits the input information to the server.

[1705] Step 11:

[1706] The server receives the family information and stores it in a database.

[1707] Step 12:

[1708] The user opens an app or website to select a pre-made meal or meal kit and set up a delivery schedule.

[1709] Step 13:

[1710] The device will display options (prepared product, meal kit, delivery cycle).

[1711] Step 14:

[1712] The user makes a selection and presses the confirm button.

[1713] Step 15:

[1714] The terminal transmits the user's selection information to the server.

[1715] Step 16:

[1716] The server saves the selected information in a database to record the initial order.

[1717] Step 17:

[1718] The server runs an algorithm to select the optimal menu based on the user's family information and initial order information.

[1719] Step 18:

[1720] The server will decide on the menu, taking into consideration nutritional balance, preferences, dietary restrictions, etc.

[1721] Step 19:

[1722] The server sends the selected menu and customization information to the kitchen system.

[1723] Step 20:

[1724] The kitchen creates a cooking plan based on the data received and begins cooking.

[1725] Step 21:

[1726] The kitchen completes the cooking and sends a delivery request to the delivery company.

[1727] Step 22:

[1728] A delivery company delivers the meal or meal kit to the user's home.

[1729] Step 23:

[1730] After the meal, the user opens an application or website to enter feedback.

[1731] Step 24:

[1732] The device displays a feedback input form, asking questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction.

[1733] Step 25:

[1734] The user enters feedback and presses the submit button.

[1735] Step 26:

[1736] The terminal transmits the input feedback information to the server.

[1737] Step 27:

[1738] The device uses its built-in camera and microphone to collect the user's facial expressions and voice.

[1739] Step 28:

[1740] The device uses an emotion engine to analyze the collected facial and voice data and recognize the user's emotions.

[1741] Step 29:

[1742] The device transmits the recognized emotion data to the server.

[1743] Step 30:

[1744] The server stores the received feedback data and emotion data in a database and analyzes them.

[1745] Step 31:

[1746] Based on the analysis results, the server reflects the user's preferences and requests in the next menu selection.

[1747] Step 32:

[1748] The server will select a new menu item and record it as your next order.

[1749] Step 33:

[1750] The server sends a notification containing details of the new menu and delivery schedule to the terminal for display to the user.

[1751] Example 2

[1752] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1753] In today's busy home environment, it is extremely difficult to prepare meals that are tailored to the health status and preferences of each family member. Furthermore, to enhance meal satisfaction, it is important to accurately reflect user feedback and emotional information, but existing systems have not fully achieved this. In particular, incorporating emotional information is necessary to achieve more precise customization and improve user satisfaction.

[1754] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1755] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, means for analyzing the user's emotional information, and means for reflecting the emotional information in the next dish or meal kit selection. This makes it possible to provide meals tailored to the individual needs of each family member, improve the accuracy of the next menu selection based on the feedback and emotional information, and increase user satisfaction.

[1756] "Family information" is detailed information about each family member, such as the ages, chronic illnesses, preferences, and dietary wishes of family members.

[1757] A "terminal" is a device that a user uses to input or view data, and specifically refers to a smartphone, tablet, PC, etc.

[1758] A "server" is a computer system that receives, processes, and stores information sent by users in a database.

[1759] "Feedback" refers to opinions and impressions provided by users after eating, and specifically includes information about the strength of the flavor, the size of the ingredients, and overall satisfaction.

[1760] "Emotion information" is information about the user's emotional state, such as satisfaction or dissatisfaction, obtained by analyzing the user's facial expressions and voice.

[1761] "Meal" or "meal kit" means food provided for home consumption, either a pre-prepared meal or a pre-cooked meal kit.

[1762] An "algorithm" is a computational method for selecting the optimal meal or meal kit based on the user's family information, feedback, and emotional information.

[1763] The "database" is an information management system that stores the user's family information, feedback, emotional information, etc., and retrieves them as needed.

[1764] The "kitchen system" is an in-facility system that creates cooking plans based on the selected menu and customization information, and then actually prepares the food.

[1765] The system of the present invention allows users to more easily manage their family's diet and provides customized meals and meal kits. This system integrates family information input, meal and meal kit selection, delivery, feedback collection and reflection, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[1766] User registration and information entry

[1767] A user first opens an application or website and begins creating a new account. The device displays a form for the user to enter basic information such as username, email address, and password. After the user enters and submits the required information, the device sends this information to the server. The server stores the received information in a database and then displays a form for the user to enter details about their family members (age, medical conditions, preferences, dietary preferences, etc.). The user enters this information, and the device sends it back to the server. The server stores the received family information in a database and builds an individual profile for each user.

[1768] First order selection

[1769] The user selects whether to order a pre-made meal or a meal kit and sets the delivery cycle through the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[1770] Menu selection and cooking

[1771] The server runs an algorithm to select an appropriate menu based on the user's family information and initial order information. This algorithm determines the optimal dish or meal kit, taking into account nutritional balance, family preferences, and dietary restrictions. The selected menu and customization information are sent from the server to the kitchen system, which then creates a cooking plan. Kitchen staff cook according to the plan, and the completed dish or meal kit is delivered to the home by a delivery company.

[1772] Post-meal feedback and emotion recognition

[1773] After eating, users enter feedback via an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[1774] Reflection in next order

[1775] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[1776] Specific examples

[1777] For example, if a family member's 35-year-old father has diabetes and the family information is provided, indicating that he likes Japanese food but prefers it to be low in salt, the server will select a low-salt menu for diabetics. Specifically, it will suggest chicken stew with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[1778] Prompt Sentence Examples

[1779] "Create a system that allows users to input their family members' ages, medical conditions, preferences, and dietary needs, and then suggests the best dishes based on their feedback and emotional information. The system should use a database to store the user's information and an algorithm to select the best menu. It should also include a function that uses an emotional engine to analyze the user's emotions and reflect them in the next order."

[1780] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1781] Step 1:

[1782] A user opens an application or website and begins creating a new account.

[1783] Input: The action by which a user accesses your site or application.

[1784] Output: The account entry form is displayed.

[1785] Step 2:

[1786] The device will display a form for you to enter basic information such as your username, email address, and password.

[1787] Input: The user's account creation request.

[1788] Output: Basic information input form.

[1789] Step 3:

[1790] The user enters the required information into the form and clicks the submit button.

[1791] Input: User data entered into the basic information form.

[1792] Output: Input data is sent from the device to the server.

[1793] Step 4:

[1794] The server receives the entered information and stores it in a database.

[1795] Input: Basic user information sent from the device.

[1796] Output: User information stored in the database.

[1797] Step 5:

[1798] The server returns a completion notification to the terminal and displays a form for the user to enter detailed information about their family members (age, chronic illnesses, preferences, dietary preferences, etc.).

[1799] Input: Server completion notification.

[1800] Output: Family information entry form.

[1801] Step 6:

[1802] The user enters the family information and clicks the submit button.

[1803] Input: User data entered into the family information form.

[1804] Output: Input data is sent from the device to the server.

[1805] Step 7:

[1806] The server receives the entered family information and stores it in a database.

[1807] Input: Family information sent from the device.

[1808] Output: Family information stored in a database.

[1809] Step 8:

[1810] The server builds an individual profile for each user.

[1811] Input: Saved user basic information and family information.

[1812] Output: A personal profile of the user is built in the database.

[1813] Step 9:

[1814] Users can choose between a pre-made meal or a meal kit and set their delivery schedule on the app or website.

[1815] Input: The user's meal or meal kit selection and delivery frequency preferences.

[1816] Output: The selection information is sent from the device to the server.

[1817] Step 10:

[1818] The server stores the received data in a database and records the initial order.

[1819] Input: Selection information sent from the terminal.

[1820] Output: Initial order information stored in the database.

[1821] Step 11:

[1822] The server runs an algorithm to select an appropriate menu based on the user's family information and first order information.

[1823] Input: Saved family information and initial order information.

[1824] Output: Selection of optimal menu.

[1825] Step 12:

[1826] The server sends the selected menu and customization information to the kitchen system.

[1827] Input: Selected menu information.

[1828] Output: Menu and customization information sent to the kitchen system.

[1829] Step 13:

[1830] The kitchen system creates a cooking plan, and the kitchen staff cooks according to the plan.

[1831] Input: Cooking plan sent to the kitchen system.

[1832] Output: Cooked food or prepared meal kit.

[1833] Step 14:

[1834] A delivery company will deliver the finished meal or meal kit to your home.

[1835] Input: Delivery order from the kitchen system to the delivery company.

[1836] Output: Meals or meal kits delivered to homes.

[1837] Step 15:

[1838] After eating, users enter their feedback into an application or website.

[1839] Input: User feedback data (strength of flavor, size of ingredients, overall satisfaction).

[1840] Output: Feedback information is sent from the device to the server.

[1841] Step 16:

[1842] The device uses its built-in camera and microphone to analyze the user's facial expressions and voice.

[1843] Input: User's facial expressions and voice.

[1844] Output: Emotion information parsed by the emotion engine.

[1845] Step 17:

[1846] The device sends the analysis results to a server, which then stores the feedback data and emotion data in a database.

[1847] Input: Emotion information parsed by the emotion engine.

[1848] Output: Feedback and emotion data stored in a database.

[1849] Step 18:

[1850] The server uses an algorithm to incorporate the feedback information and emotion data into the next menu selection.

[1851] Input: Stored feedback and emotion data.

[1852] Output: Improved menu selection.

[1853] Step 19:

[1854] The server will notify the user of the improved menu and reflect it in their next order.

[1855] Input: Improved menu information.

[1856] Output: New menu information notified to the user.

[1857] (Application example 2)

[1858] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1859] In recent years, with the diversification of lifestyles, there has been an increasing need for personalized meal delivery in homes. However, systems that can accommodate the different ages, health conditions, preferences, and dietary restrictions of each household have not yet been fully developed. Furthermore, conventional methods have had difficulty accurately grasping the user's emotions and reflecting them in the next menu selection. For this reason, more advanced customization is required to increase user satisfaction. The present invention aims to solve these problems and provide a food delivery system that can provide high satisfaction to each user.

[1860] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1861] In this invention, the server includes means for inputting family information, means for selecting individually appropriate dishes or meal kits based on the user's family information, means for delivering the selected dishes or meal kits to the home, means for inputting feedback from the user after the meal, means for reflecting the feedback in the next dish or meal kit selection, emotion recognition means for recognizing the user's emotions using a camera or microphone, and means for reflecting the emotion information obtained by the emotion recognition means in the next dish or meal kit selection. This enables highly accurate dish or meal kit selection based on the user's family information and emotion data, thereby improving user satisfaction.

[1862] "Family information" is attribute information about the user's family, such as age, health condition, preferences, and dietary preferences.

[1863] A "meal or meal kit" is a set of ingredients and a recipe for a user to prepare at home, or a meal that is already prepared and ready to consume.

[1864] "Delivery" is the process of delivering the selected meal or meal kit to your home.

[1865] "Feedback" is evaluation information such as the strength of flavor, the size of ingredients, and overall satisfaction level provided by the user after eating.

[1866] "Emotion recognition" is a technology that uses cameras and microphones to analyze and identify emotions from a user's facial expressions and voice.

[1867] The "emotion recognition means" is a means for detecting and analyzing the user's emotions using a camera or microphone.

[1868] "Reflect on next meal or meal kit selection" means improving future menu and ingredient selections based on feedback and emotional information.

[1869] MODE FOR CARRYING OUT THE INVENTION

[1870] The system of the present invention integrates the input of family information, the selection of dishes and meal kits, delivery, the collection and reflection of feedback, and an emotion engine that recognizes the user's emotions. Specific embodiments of each process are described below.

[1871] User registration and information entry

[1872] A user opens an application or website and begins creating a new account. The device displays a form for entering basic information such as username, email address, and password, which is then sent to the server. The server receives this information and stores it in a database. The user then enters detailed information about their family members, such as their ages, health status, preferences, and dietary preferences, and sends this information from the device to the server. The server then stores the received family information in a database, building an individual profile for each user.

[1873] First order selection

[1874] Users can select whether they want a pre-made meal or a meal kit and set their delivery schedule via the app or website. The device then sends these selections to the server, which stores the data in a database to record the initial order.

[1875] Menu selection and cooking

[1876] The server uses an algorithm to select an appropriate menu based on the user's family information and initial order information. The algorithm determines the optimal dish or meal kit by taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan. The kitchen cooks according to the instructions, and the completed dish or meal kit is delivered to the home by a delivery company.

[1877] Post-meal feedback and emotion recognition

[1878] After eating, users enter feedback through an application or website. The device asks the user questions such as flavor intensity, size of ingredients, and overall satisfaction, and sends the entered feedback information to a server. The device also has an emotion engine that uses a built-in camera and microphone to analyze facial expressions and voice. The device uses this emotion engine to analyze the user's emotional information and sends the results to the server. The server stores this feedback data and emotion data in a database and analyzes it to more accurately extract the user's preferences and requests.

[1879] Reflection in next order

[1880] The server reflects the analyzed feedback information and emotion data in the next menu selection. A new selection process is initiated to determine the optimal dish or meal kit, taking into account the feedback and emotion data. The improved menu is notified to the user by the server and reflected in the next order.

[1881] Specific examples

[1882] For example, if a family member's 35-year-old father has diabetes and likes Japanese food but prefers low-salt options, the server will select a low-salt menu for diabetics. For example, it might suggest stewed chicken with plenty of vegetables or simmered hijiki seaweed. After the food is delivered to the home, the user enters information about the size of the ingredients and the strength of the flavor in a feedback form. Furthermore, an emotion engine analyzes facial expressions and voices via the device's camera and microphone, collecting emotional information such as "satisfied" or "dissatisfied." By integrating emotional information and feedback information, the next meal selection can be customized with greater precision.

[1883] Prompt Sentence Examples

[1884] Based on the user's health information and preferences, it will suggest the best dishes to eat and analyze their emotions after eating.

[1885] Name: Taro

[1886] Age: 35

[1887] Health Condition: Diabetes

[1888] Favorite food: Japanese food

[1889] Dietary Restrictions: Low Sodium

[1890] Menu suggestions: Chicken stew with plenty of vegetables, simmered hijiki seaweed

[1891] Feedback: Great taste, perfect portion size, overall satisfaction high

[1892] Emotions: Smiling, lots of calmness

[1893] This system provides nutritionally balanced meals customized for each user, supporting the family's eating habits. In addition, by reflecting the user's emotions through the emotion engine, it is possible to realize a service with even higher levels of satisfaction.

[1894] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1895] Program processing flow

[1896] Step 1:

[1897] A user opens an application or website and begins creating a new account. An input screen appears, where basic information such as a username, email address, and password is entered, and the user presses the submit button. The entered information is sent from the device to the server, which receives the information and stores it in a database.

[1898] Input: Username, Email Address, Password

[1899] Data processing: Format check and encryption of input data

[1900] Output: Send to server, save to database

[1901] Step 2:

[1902] The user then enters detailed information about their family members, such as their age, health status, preferences, and dietary preferences. The entered family information is sent from the device to a server and stored in a database, which then creates an individual profile for each user.

[1903] Input: Family members' ages, health status, preferences, and dietary preferences

[1904] Data processing: Data validation and formatting Output: Saving to database

[1905] Step 3:

[1906] Users can choose between a pre-made meal or a meal kit and set their delivery schedule via the app or website. The selection is sent from the device to the server, which stores the data in a database to record the initial order.

[1907] Input: Choice of meal or meal kit, delivery cycle

[1908] Data processing: formatting selected data, calculating delivery dates

[1909] Output: Save to database

[1910] Step 4:

[1911] The server runs an algorithm to select the appropriate menu based on the user's family information and initial order information. The algorithm selects the optimal dish or meal kit, taking into account nutritional balance, preferences, dietary restrictions, etc. The selected menu and customization information are sent from the server to the kitchen system, which creates a cooking plan.

[1912] Input: Family information, initial order information

[1913] Data processing: Algorithm-based menu selection and customization information generation

[1914] Output: Send to kitchen system, create cooking plan

[1915] Step 5:

[1916] The kitchen will then prepare the food based on the cooking plan, and the finished meal or meal kit will be delivered to your home by a delivery company.

[1917] Input: Cooking plan

[1918] Specific actions: Cooking and packaging according to cooking instructions

[1919] Output: Delivery of finished products

[1920] Step 6:

[1921] After eating, users provide feedback via an application or website. The device prompts the user with questions such as the strength of the flavor, the size of the ingredients, and overall satisfaction, and sends the entered feedback information to the server.

[1922] Input: Strength of flavor, size of ingredients, overall satisfaction

[1923] Data processing: collection and formatting of feedback data

[1924] Output: Send to server, save to database

[1925] Step 7:

[1926] Using the device's built-in camera and microphone, an emotion engine is activated that analyzes the user's facial expressions and voice after the meal. The emotion engine analyzes the user's emotional information and sends the results to the server.

[1927] Input: facial expression data, voice data

[1928] Data processing: Analysis using emotion engine, generation of emotion information

[1929] Output: Send to server, save to database

[1930] Step 8:

[1931] The server reflects the analyzed feedback information and emotion data in the next menu selection. It then starts a new selection process, taking into account the feedback and emotion information, to determine the optimal dish or meal kit. The server notifies the user of the improved menu and reflects it in the next order.

[1932] Input: Feedback information, emotion information

[1933] Data processing: Integrating feedback and sentiment data, selecting the next menu

[1934] Output: User notification, database update

[1935] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1936] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1937] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1938] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1939] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1940] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1941] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1942] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1943] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1944] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1945] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1946] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1947] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1948] 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.

[1949] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1950] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1951] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1952] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1953] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1954] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1955] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1956] The following is further disclosed regarding the above embodiment.

[1957] (Claim 1)

[1958] A means for inputting family information;

[1959] A means for selecting an individually suitable meal or meal kit based on the user's family information;

[1960] A means of delivering selected meals or meal kits to your home;

[1961] a means for inputting user feedback after a meal;

[1962] A means for reflecting the feedback in the next cooking or meal kit selection;

[1963] A system including:

[1964] (Claim 2)

[1965] The system of claim 1 , wherein the family information includes age, chronic illnesses, preferences, and dietary preferences.

[1966] (Claim 3)

[1967] The system of claim 1, wherein the feedback includes flavor intensity, size of ingredients, and overall satisfaction.

[1968] "Example 1"

[1969] (Claim 1)

[1970] a means for a user to input family information;

[1971] A means for the terminal to transmit user input information to a server, and the server to store the received information in a database;

[1972] A means for the server to select an individually suitable dish or ingredient set based on the user's family information;

[1973] A means of delivering the selected meal or ingredient set to the home;

[1974] a means for the user to input feedback after eating;

[1975] a means for transmitting the input feedback information from the terminal to a server, and for storing and analyzing the received feedback in a database by the server;

[1976] A way to incorporate feedback into your next dish or ingredient set selection,

[1977] A system including:

[1978] (Claim 2)

[1979] 2. The system of claim 1, wherein the family information includes age, chronic illnesses, preferences, and dietary preferences.

[1980] (Claim 3)

[1981] 2. The system of claim 1, wherein the feedback includes flavor intensity, size of ingredients, and overall satisfaction.

[1982] "Application Example 1"

[1983] (Claim 1)

[1984] A means for inputting family information;

[1985] A means for selecting an individually suitable meal or meal kit based on the user's family information;

[1986] A means of delivering selected meals or meal kits to homes;

[1987] a means for inputting user feedback after a meal;

[1988] A means for reflecting the feedback in the next cooking or meal kit selection;

[1989] A method using an algorithm to optimize the next menu based on the feedback information;

[1990] a means of storing family information and feedback information in a database;

[1991] A system including:

[1992] (Claim 2)

[1993] The system of claim 1 , wherein the family information includes age, chronic illnesses, preferences, and dietary preferences.

[1994] (Claim 3)

[1995] The system of claim 1, wherein the feedback includes flavor intensity, size of ingredients, and overall satisfaction.

[1996] "Example 2: Combining Emotion Engines"

[1997] (Claim 1)

[1998] A means for inputting family information;

[1999] A means for selecting an individually suitable meal or meal kit based on the user's family information;

[2000] A means of delivering selected meals or meal kits to your home;

[2001] a means for inputting user feedback after a meal;

[2002] A means for reflecting the feedback in the next cooking or meal kit selection;

[2003] A means for analyzing user emotion information;

[2004] A means for reflecting the emotional information in the next selection of a dish or meal kit;

[2005] A system including:

[2006] (Claim 2)

[2007] The system of claim 1 , wherein the family information includes age, chronic illnesses, preferences, and dietary preferences.

[2008] (Claim 3)

[2009] The system of claim 1, wherein the feedback includes flavor intensity, size of ingredients, and overall satisfaction.

[2010] "Application example 2 when combining emotion engines"

[2011] (Claim 1)

[2012] A means for inputting family information;

[2013] A means for selecting an individually suitable meal or meal kit based on the user's family information;

[2014] A means of delivering selected meals or meal kits to your home;

[2015] a means for inputting user feedback after a meal;

[2016] A means for reflecting the feedback in the next cooking or meal kit selection;

[2017] emotion recognition means for recognizing the emotion of a user using a camera or a microphone;

[2018] a means for reflecting the emotion information obtained by the emotion recognition means in the next selection of a dish or meal kit;

[2019] A system including:

[2020] (Claim 2)

[2021] The system of claim 1 , wherein the family information includes age, health status, preferences, and dietary preferences.

[2022] (Claim 3)

[2023] The system of claim 1, wherein the feedback includes flavor intensity, ingredient size, and overall satisfaction. [Explanation of symbols]

[2024] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for inputting family information; A means for selecting an individually suitable meal or meal kit based on the user's family information; A means of delivering selected meals or meal kits to your home; a means for inputting user feedback after a meal; A means for reflecting the feedback in the next cooking or meal kit selection; A system including:

2. The system of claim 1 , wherein the family information includes age, medical conditions, preferences, and dietary preferences.

3. The system of claim 1 , wherein the feedback includes flavor intensity, size of ingredients, and overall satisfaction.

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