System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting purchase reservation information by a user; means for transmitting the purchase reservation information to a server; means for storing the purchase reservation information in a database; means for transmitting a reminder notification when a reservation time is approaching; means for automatically purchasing a product when the reservation time is reached; and means for notifying the user of a purchase result.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] It is important for online shopping and auction sites to ensure that users do not miss their chance to make a purchase. However, in their busy daily lives, it is often difficult for users to find the time to purchase the desired product or participate in an auction. To solve this problem, there is a demand for a system that automatically purchases products or bids on auctions. [Means for solving the problem]

[0005] The present invention provides a means for a user to input reservation information for purchasing a product, transmit the reservation information to a server, and the server stores the reservation information in a database. It also provides a means for sending a reminder notification when the reservation time approaches and automatically purchasing the product when the reservation time arrives, so that the user does not miss the opportunity to purchase.

[0006] Furthermore, the present invention provides a means for a user to set a maximum bid amount in an auction, transmit the bid information to a server, and the server stores the bid information in a database. By providing a means for monitoring the status of bids from other users and automatically placing bids up to the user's maximum bid amount, and a means for determining and notifying the winner of the auction, the present invention ensures that a user can obtain the product they want even if they do not have time to participate in the auction.

[0007] "User" means an individual or legal entity that uses the system or service.

[0008] "Purchase reservation information" is detailed information set by the user for purchasing a specific product at a specific time.

[0009] A "server" is a computer system that receives user input information via a network, stores it in a database, and processes it.

[0010] A "database" is a system for organizing and storing information, and is a storage device that stores purchase reservation information and bidding information.

[0011] A "reminder notification" is a notification that notifies the user in advance when the reservation time is approaching, and is sent in the form of an email, push notification, etc.

[0012] "Automatically purchasing" means that the product purchase procedure is completed on the server side without manual operation, based on the purchase reservation time set by the user.

[0013] "Bidding information" refers to detailed information including the maximum bid amount and other bidding conditions set by a user to participate in an auction.

[0014] "Bidding status" is real-time information about the auction, such as current bid amounts and bid history from other users.

[0015] A "maximum bid" is the maximum amount a user is willing to pay for an item in an auction.

[0016] The "auction winner" is the user who submits the highest bid at the end of the auction. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] This invention describes a specific method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. In addition, a reminder notification is sent when the reservation time approaches, and the product is automatically purchased at the reserved time, so that the user does not miss the purchase opportunity.

[0039] Product purchase reservation function

[0040] 1. Enter your purchase reservation information

[0041] Terminal: The user selects the product they want to purchase from the interface of the online shopping site.

[0042] Terminal: The user enters the purchase reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[0043] 2. Sending reservation information

[0044] Terminal: Sends the purchase reservation information entered by the user to the server.

[0045] 3. Saving reservation information

[0046] Server: Saves the received purchase reservation information in a database.

[0047] 4. Set reminders

[0048] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[0049] 5. The reservation time arrives

[0050] Server: When the reserved time arrives, the purchase process begins.

[0051] Server: Purchases the specified product according to the purchase conditions stored in the database.

[0052] Server: Add the product to the cart via the purchase API and complete the payment.

[0053] 6. Notification of purchase results

[0054] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0055] Specific examples

[0056] User: A user is busy and doesn't have time to buy a new smartphone, so they schedule it to be purchased automatically at midnight.

[0057] Server: Saves the set purchase reservation information and schedules processing at the specified time.

[0058] Server: Starts the smartphone purchase process at midnight and purchases the product according to the conditions specified by the user.

[0059] Terminal: A purchase completion notification is sent to the user, ensuring that the user can obtain the desired product.

[0060] Auction function

[0061] 1. Enter your bidding information

[0062] Terminal: The user selects the auction item for which they wish to bid from the auction site interface.

[0063] Terminal: User enters maximum bid amount into form.

[0064] 2. Submitting Bid Information

[0065] Terminal: Sends the bid information entered by the user to the server.

[0066] 3. Saving Bid Information

[0067] Server: Stores the received bid information in a database.

[0068] 4. Monitoring the bidding process

[0069] Server: Periodically checks bid information from other users and updates the current highest bid.

[0070] 5. Execute automatic bidding

[0071] Server: When another user makes a new bid, the server automatically bids up to the user's maximum bid.

[0072] Server: For example, if another user bids 80,000 yen, the bid will be 90,000 yen according to internal settings.

[0073] 6. Confirmation of auction end

[0074] Server: Check the database for the auction end time, and proceed with the process when the end time arrives.

[0075] 7. Notification of bidding results

[0076] Server: After the auction ends, the user with the highest bid is determined as the winner and notified.

[0077] Specific examples

[0078] User: A user is interested in a certain antique watch and sets the maximum bid at 100,000 yen.

[0079] Server: Stores users' bidding information and monitors the bidding process.

[0080] Server: If another user bids 80,000 yen, the bid will automatically be set at 90,000 yen according to internal settings.

[0081] Server: If the user ultimately wins the auction with a bid of 100,000 yen, the result is notified.

[0082] Terminal: The user is notified of their auction win and guided through the purchase process.

[0083] Thus, the present invention allows users to utilize automated purchasing and bidding functions to efficiently secure needed products even in busy situations.

[0084] The processing flow will be explained below.

[0085] Product purchase reservation function

[0086] Step 1:

[0087] Device: The user opens a shopping site and selects the product they want to purchase.

[0088] Step 2:

[0089] Terminal: The user inputs purchase reservation information (purchase reservation time, quantity, price conditions, etc.).

[0090] Step 3:

[0091] Terminal: Sends the purchase reservation information entered by the user to the server.

[0092] Step 4:

[0093] Server: Saves the received purchase reservation information in a database.

[0094] Step 5:

[0095] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[0096] Step 6:

[0097] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[0098] Step 7:

[0099] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[0100] Step 8:

[0101] Server: Records the purchase result in a database and sends a result notification (purchase success / failure) to the user.

[0102] Specific examples

[0103] Step 1:

[0104] User: A user opens a site to purchase a new smartphone.

[0105] Step 2:

[0106] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[0107] Step 3:

[0108] Terminal: Sends purchase reservation information to the server.

[0109] Step 4:

[0110] Server: Saves the received purchase reservation information in a database.

[0111] Step 5:

[0112] Server: Set a task to send a reminder one hour before the scheduled time.

[0113] Step 6:

[0114] Server: At midnight, read the information from the database and begin the purchase process.

[0115] Step 7:

[0116] Server: Add the smartphone to the cart via the product purchase API and complete the payment.

[0117] Step 8:

[0118] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0119] Auction function

[0120] Step 1:

[0121] Terminal: The user opens the auction site and selects the item they want to bid on.

[0122] Step 2:

[0123] Terminal: User enters maximum bid amount.

[0124] Step 3:

[0125] Terminal: Sends bidding information to the server.

[0126] Step 4:

[0127] Server: Stores the received bid information in a database.

[0128] Step 5:

[0129] Server: Monitors the bidding status of other users and automatically places a bid up to the maximum bid amount.

[0130] Step 6:

[0131] Server: Check the database for the auction end time and proceed when the end time arrives.

[0132] Step 7:

[0133] Server: Determines the user with the highest bid as the auction winner.

[0134] Step 8:

[0135] Server: Sends notifications to auction winners and guides them through the purchase process.

[0136] Specific examples

[0137] Step 1:

[0138] User: A user visits an auction page for an antique clock.

[0139] Step 2:

[0140] User: Set the maximum bid to 100,000 yen.

[0141] Step 3:

[0142] Terminal: Sends bidding information to the server.

[0143] Step 4:

[0144] Server: Stores the bid information in a database.

[0145] Step 5:

[0146] Server: If another user makes a new bid of 80,000 yen, the bid will automatically be changed to 90,000 yen.

[0147] Step 6:

[0148] Server: When the auction end time arrives, proceed with the process.

[0149] Step 7:

[0150] Server: In the end, there are no bids exceeding 100,000 yen, so the user is determined to be the auction winner.

[0151] Step 8:

[0152] Server: Notifies the user of their auction win and guides them through the purchase process.

[0153] Example 1

[0154] 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."

[0155] In conventional online shopping and auction systems, users must individually complete procedures for pre-ordering and bidding on auctions, which can lead to busy schedules or situations where users are unable to respond immediately at a specific time. This can result in users missing the opportunity to purchase or find the desired product. It is particularly difficult to make a purchase or bid precisely at the reservation time or the end of the auction. Another problem is that users must immediately respond to the status of bids from other users, which is cumbersome and time-consuming.

[0156] 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.

[0157] In this invention, the server includes means for a user to input purchase reservation information, means for transmitting the purchase reservation information to the server, means for saving the purchase reservation information in a database, means for sending a reminder notification when the reservation time approaches, means for automatically purchasing the product when the reservation time arrives, means for notifying the user of the purchase result, means for periodically checking bid information from other users and updating the current highest bid amount, means for automatically bidding up to the user's maximum bid amount, and means for determining and notifying the winner of the auction. This allows users to use the automated process of advance purchases and auctions to reliably purchase and bid on desired products even when they are busy.

[0158] A "user" is a person who uses the system to purchase products or participate in auctions.

[0159] "Purchase reservation information" is data including information on the product that the user wishes to purchase, the purchase reservation time, and the purchase conditions (quantity, price conditions, etc.).

[0160] A "server" is a computer system that receives and processes information sent by users.

[0161] The "database" is an information storage system for storing and managing received purchase reservation information and bidding information.

[0162] "Reminder notification" is a function that sends a notification to the user when the reservation time approaches.

[0163] "Purchase API" is a program interface for adding products to a cart and completing payments.

[0164] "Bidding information" is data including information on the auction item for which the user wishes to bid and the maximum bid amount.

[0165] A "scheduler" is a system that is configured to perform specific operations at specific times.

[0166] A "purchase process" is a series of steps required to purchase a specified product.

[0167] The "auction winner" is the user who submitted the highest bid at the end of the auction.

[0168] The present invention is a method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system includes functions for allowing a user to reserve a product they wish to purchase and automatically purchase it at a specified time, and functions for automatically placing a bid up to the maximum amount in an auction.

[0169] Product purchase reservation function

[0170] Enter purchase reservation information

[0171] The user selects the product he or she wants to purchase through the interface of the online shopping site, and inputs the reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[0172] Send reservation information

[0173] The terminal transmits the purchase reservation information input by the user to the server.

[0174] Save reservation information

[0175] The server stores the received purchase reservation information in a database and manages the database so that the information can be stored appropriately.

[0176] Setting reminders

[0177] The server registers a task in the scheduler to send a reminder notification when the reserved time approaches, so that the user can receive a notification that the reserved time is approaching.

[0178] The reservation time arrives

[0179] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the reservation information from the database, purchases the specified product, adds the product to the cart via the purchase API, and completes the payment.

[0180] Notification of purchase results

[0181] The server will send a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0182] Auction function

[0183] Entering bid information

[0184] Through the auction site interface, users select the auction item they wish to bid on and enter their maximum bid amount into a form.

[0185] Submitting bid information

[0186] The terminal transmits the bid information entered by the user to the server.

[0187] Save bid information

[0188] The server stores the received bid information in a database and manages the database so that the information can be stored appropriately.

[0189] Monitoring the bidding process

[0190] The server periodically checks for bid information from other users and updates the current maximum bid.

[0191] Executing automatic bidding

[0192] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[0193] Confirmation of auction end

[0194] The server checks the database for the auction end time and proceeds with the process when the end time arrives.

[0195] Notification of bidding results

[0196] The server will determine the user who submitted the highest bid as the winner and send a notification.

[0197] Specific actions

[0198] Product purchase reservation function

[0199] User: Schedules an automatic purchase of a new smartphone at midnight and fills out a form on an online shopping site.

[0200] Terminal: Sends the entered reservation information to the server.

[0201] Server: Saves the received reservation information in a database and schedules a task to send a reminder at midnight.

[0202] Server: At midnight, start the process of purchasing a new smartphone based on the reservation information. This is done by adding it to the cart via the purchase API and completing the payment.

[0203] Server: Sends a successful purchase notification to the user, who confirms that the purchase is complete.

[0204] Auction function

[0205] User: Participates in an antique watch auction, setting the maximum bid at 100,000 yen, and enters the information into the form on the auction site.

[0206] Terminal: Sends the entered bid information to the server.

[0207] Server: Stores the received bid information in a database and monitors the bidding status of other users.

[0208] Server: If another user bids 80,000 yen, execute a process to automatically bid 90,000 yen.

[0209] Server: When the auction ends, notify the user with the highest bid as the winner.

[0210] Terminal: Notifies the user of their auction win and guides them through the purchase process.

[0211] Prompt Sentence Examples

[0212] For product purchase reservations: "I would like to automatically reserve a new smartphone at 25:00 on April 20th."

[0213] For an auction: "I would like to participate in an antique watch auction for up to 100,000 yen."

[0214] In this way, the present invention allows users to automatically purchase products or participate in auctions regardless of the reservation time or the auction end time. This system is particularly convenient for busy users, helping them to ensure that they can obtain the products they want.

[0215] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0216] Product purchase reservation function

[0217] Step 1: Enter your purchase reservation information

[0218] A user selects a product he or she wants to purchase through the interface of an online shopping site, and then inputs the reservation time and purchase conditions (quantity, price, etc.) into a form.

[0219] Input: Product information, reservation time, and purchase conditions entered by the user

[0220] Output: Purchase reservation information sent to the device

[0221] Step 2: Submit your reservation information

[0222] The terminal sends the purchase reservation information that the user entered in the form to the server, where it converts the purchase reservation information into an appropriate format and sends it to the server.

[0223] Input: Purchase reservation information entered in the form

[0224] Output: Purchase reservation information sent to the server

[0225] Step 3: Save your reservation

[0226] The server saves the received purchase reservation information in a database. The server adds the reservation information to the database and stores the information securely.

[0227] Input: Purchase reservation information received by the server

[0228] Output: Reservation information stored in the database

[0229] Step 4: Set up reminders

[0230] The server registers a task with the scheduler to send a reminder notification, so that a notification is sent when the specified reservation time approaches.

[0231] Input: Reminder notification setting information based on reservation time

[0232] Output: Notification task registered with the scheduler

[0233] Step 5: Appointment time arrives

[0234] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the relevant reservation information from the database, adds the product to the cart via the purchase API, and completes the payment.

[0235] Input: Notifications from the scheduler, reservation information from the database

[0236] Output: Items added to cart via the Purchase API, completed payments

[0237] Step 6: Notification of purchase results

[0238] The server checks the result of the purchase process and sends a success notification to the user if the purchase was successful, or an error message if the purchase was unsuccessful.

[0239] Input: Purchase process result

[0240] Output: Notification of purchase results sent to the user

[0241] Auction function

[0242] Step 1: Enter your bid information

[0243] Through the auction site interface, a user selects the auction item for which they wish to place a bid and enters a maximum bid amount into a form.

[0244] Input: Auction item information entered by the user, maximum bid amount

[0245] Output: Bid information sent to the terminal

[0246] Step 2: Submit your bid

[0247] The terminal transmits the bid information entered by the user in the form to the server, where it converts the bid information into an appropriate format and transmits it to the server.

[0248] Input: Bid information entered into the form

[0249] Output: Bid information sent to the server

[0250] Step 3: Save your bid

[0251] The server stores the received bid information in a database, and performs an add operation on the bid information in the database to ensure that the information is stored securely.

[0252] Input: Bid information received by the server

[0253] Output: Bid information stored in a database

[0254] Step 4: Monitor the bidding process

[0255] The server periodically checks bid information from other users and updates the current maximum bid amount. The server compares each bid information and processes it to update the maximum bid amount.

[0256] Input: Bid information from other users

[0257] Output: Updated maximum bid

[0258] Step 5: Run automated bidding

[0259] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[0260] Input: New bid information from other users, maximum bid amount

[0261] Output: Automatically placed bid information

[0262] Step 6: Confirm the auction has ended

[0263] The server checks the auction end time in the database and proceeds if the end time is reached. The server compares the end time with the current time and determines the outcome if the end time is reached.

[0264] Input: Auction end time information from the database

[0265] Output: Bidding status at the end of the auction

[0266] Step 7: Notification of bidding results

[0267] The server determines the user who submitted the highest bid as the winner and sends a notification. The server identifies the winner information, generates a notification, and sends it to the user.

[0268] Input: Final auction bid results

[0269] Output: Winner notification sent to user

[0270] This system provides functions that allow users to reliably purchase desired products and succeed in auctions even when they are busy.

[0271] (Application example 1)

[0272] 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."

[0273] With current food delivery services, users often miss their order time, making it difficult to order in a timely manner given their busy daily lives. Furthermore, users are concerned about whether their reserved order will arrive, which reduces convenience. There is a need for technological solutions that can solve this problem and ensure that users receive their food at the time they set.

[0274] 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.

[0275] In this invention, the server includes a means for a user to input food order reservation information, a means for transmitting the food order reservation information to the server, a means for storing the food order reservation information in a database, a means for sending a reminder notification when the reservation time approaches, a means for automatically executing the food order when the reservation time arrives, and a means for notifying the user of the order result, thereby enabling the user to receive the food at the set time.

[0276] "User" means a person who uses the system to purchase and reserve food and merchandise.

[0277] "Purchase reservation information" is detailed information such as information about the food or product that the user wishes to purchase or order, the purchase date and time, quantity, price conditions, etc.

[0278] "Server" means a central processing unit that receives, processes, stores, and manages information sent by users.

[0279] "Database" means a repository of information that stores purchase reservation information and other related information and makes it available for retrieval when needed.

[0280] A "reminder notification" is a notification that notifies the user that the reservation time is approaching.

[0281] "Food ordering" refers to the act of purchasing specified food at a time specified by the user.

[0282] "Order result" is information indicating the success or failure of the food order.

[0283] "Monitoring" refers to the task of watching for the arrival of a reservation time or changes in other conditions.

[0284] The present invention is a system that executes a process in which a user inputs reservation information, automatically orders food based on that information, and notifies the user. A specific method for implementing this system will be described below.

[0285] 1. Enter your purchase reservation information

[0286] Users input the desired food items and order details through a smartphone app or PC interface, including the food items, quantity, reservation time, and other purchase conditions (such as price).

[0287] 2. Sending and storing purchase reservation information

[0288] The terminal sends the entered purchase reservation information to the server, which stores the received information in a database. The database can use a common database management system such as MySQL.

[0289] 3. Send reminders

[0290] The server registers the task in the scheduler to send a reminder notification when the reservation time approaches. The scheduler can be Cron or Task Scheduler. The reminder notification is sent to the user's terminal five minutes before the reservation time.

[0291] 4. Automatic food ordering

[0292] When the reserved time arrives, the server automatically executes the food order. The server starts the food order process according to the purchase conditions stored in the database and orders the specified food. This order can be made using an external food delivery API.

[0293] 5. Notification of order results

[0294] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. This notification can also be sent by email or in-app notification. The user will receive the notification and can pick up the food at the specified time.

[0295] Specific examples

[0296] Consider a user who has set up a specific pizza to be automatically ordered every Friday night at 8pm.

[0297] A user uses the app to schedule an order for a specific pizza at 8pm on Friday night.

[0298] The server stores this configuration information in a database.

[0299] A reminder notification will be sent to users every Friday night at 7:55pm.

[0300] At 8pm, the server automatically processes the pizza order and completes the payment.

[0301] A completion notification will be sent to the user, who can then collect their pizza at the specified time.

[0302] Prompt Sentence Examples

[0303] "Set up a plan to automatically order pizza every Friday night at 8pm. You don't have to worry about anything, we'll order it for you."

[0304] This ensures that users receive their desired food items in a timely manner, even in busy situations.

[0305] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0306] Step 1: Enter your purchase reservation information

[0307] Users input the food they want and the details of their order through a smartphone app or PC interface, including the type of food, quantity, reservation time, and price conditions. The information entered by the user is collected on the device and converted into a data format such as JSON.

[0308] Step 2: Submit your purchase reservation information

[0309] The terminal sends the purchase reservation information entered by the user to the server. Specifically, the terminal sends data to the server using an HTTP POST request. This request includes the information entered by the user.

[0310] Step 3: Save your purchase reservation information

[0311] The server stores the received purchase reservation information in a database using a database management system such as MySQL. The database table contains fields such as the user ID, food type, quantity, and reservation time.

[0312] Step 4: Set up reminders

[0313] The server registers a task in the scheduler to send a reminder notification when the reservation time approaches. Specifically, using a Cron job or Task Scheduler, it is set up so that a reminder notification is sent five minutes before the reservation time. This task is dynamically created based on the reservation information of each user.

[0314] Step 5: Send reminders

[0315] Five minutes before the reservation time, the scheduler is triggered and the server sends a reminder notification to the user's device. The notification is sent as a push notification or email to inform the user that the reservation is approaching, so that the user does not miss the timing of their order.

[0316] Step 6: Automate food ordering

[0317] When the reservation time arrives, the server automatically places the food order. The server references the reservation information stored in the database and places the order using an external food delivery API. This API call sends the order details to the specified restaurant and completes the payment.

[0318] Step 7: Order Result Notification

[0319] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. Notifications are sent as push notifications or emails, allowing the user to immediately check whether the order was successful.

[0320] This allows users to automatically order food and ensure it is received.

[0321] 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.

[0322] The present invention describes a method for implementing a system in which a user inputs purchase order information, transmits the purchase order information to a server, and the server stores the purchase order information in a database, and combines an emotion engine to adjust reminder notifications and automated purchasing processes based on the user's emotional state.

[0323] Combining product purchase reservation functionality with an emotion engine

[0324] 1. Enter your purchase reservation information

[0325] Device: The user opens a shopping site and selects the product they want to purchase.

[0326] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[0327] Terminal: The emotion engine analyzes the user's emotional state in real time.

[0328] 2. Sending reservation information

[0329] Terminal: Sends the purchase reservation information entered by the user to the server.

[0330] 3. Saving reservation information

[0331] Server: Saves the received purchase reservation information in a database.

[0332] 4. Set reminders

[0333] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[0334] 5. The reservation time arrives

[0335] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[0336] Server: The emotion engine reassess the purchase intent and executes the purchase process if appropriate.

[0337] 6. Executing Automatic Purchases

[0338] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[0339] 7. Notification of purchase results

[0340] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0341] Specific examples

[0342] User: A user opens a site to purchase a new smartphone.

[0343] Terminal: The user enters a purchase reservation time of midnight, quantity 1, and price of 50,000 yen or less, and the information is sent to the server.

[0344] On the device: The emotion engine analyzes the user's current emotional state and adjusts the reminder notification time if stress levels are high.

[0345] Server: The emotion engine may wait until the user's stress level decreases before sending a reminder notification.

[0346] Server: At midnight, the emotion engine checks the user's purchase intent again and automatically purchases the product if appropriate.

[0347] Server: The server notifies the user of the purchase result.

[0348] Combining auction functionality with an emotion engine

[0349] 1. Enter your bidding information

[0350] Terminal: The user opens the auction site and selects the item they want to bid on.

[0351] Terminal: User enters maximum bid amount.

[0352] Terminal: The emotion engine analyzes the user's emotional state in real time.

[0353] 2. Submitting Bid Information

[0354] Terminal: Sends the bid information entered by the user to the server.

[0355] 3. Saving Bid Information

[0356] Server: Stores the received bid information in a database.

[0357] 4. Monitoring the bidding process

[0358] Server: Periodically checks the status of bids from other users and automatically places a bid up to the maximum amount.

[0359] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[0360] 5. Execute automatic bidding

[0361] Server: When other users make new bids, they make bids up to the user's maximum bid.

[0362] Server: The emotion engine adjusts the frequency and timing of automated bidding based on the user's emotional state.

[0363] 6. Confirmation of auction end

[0364] Server: Checks the auction end time and determines the winner when the time comes.

[0365] 7. Notification of bidding results

[0366] Server: After the auction ends, the user with the highest bid is notified as the winner.

[0367] Specific examples

[0368] User: A user visits an auction page for an antique clock.

[0369] Device: The maximum bid is set to 100,000 yen, and the emotion engine analyzes the user's current emotional state.

[0370] Server: When a reminder notification is sent, the emotion engine reassess the user's stress and purchase intent and adjusts the content and timing of the notification.

[0371] Server: If the user ultimately wins the auction, they are notified of the result and guided through the purchase process.

[0372] In this way, by combining emotion engines, it is possible to create a system that provides more appropriate notifications and automatic purchasing / bidding based on the user's emotions.

[0373] The processing flow will be explained below.

[0374] Combining product purchase reservation functionality with an emotion engine

[0375] Step 1:

[0376] Device: The user opens a shopping site and selects the product they want to purchase.

[0377] Step 2:

[0378] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[0379] Step 3:

[0380] Terminal: The emotion engine analyzes the user's emotional state in real time based on facial recognition, voice analysis, input data, etc.

[0381] Step 4:

[0382] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[0383] Step 5:

[0384] Server: Stores the received purchase reservation information and emotion data in a database.

[0385] Step 6:

[0386] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[0387] Step 7:

[0388] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[0389] Step 8:

[0390] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[0391] Step 9:

[0392] Server: The emotion engine reassess the purchase intent and, if appropriate, adds the product to the cart via the product purchase API and processes the payment.

[0393] Step 10:

[0394] Server: Records the purchase results in a database and sends a success or error message to the user.

[0395] Specific examples

[0396] Step 1:

[0397] User: A user opens a shopping site to purchase a new smartphone.

[0398] Step 2:

[0399] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[0400] Step 3:

[0401] Device: The emotion engine analyzes the user's facial expressions and recognizes high stress levels.

[0402] Step 4:

[0403] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[0404] Step 5:

[0405] Server: Stores the received purchase reservation information and emotion data in a database.

[0406] Step 6:

[0407] Server: Set a task to send a reminder one hour before the scheduled time.

[0408] Step 7:

[0409] Server: The emotion engine monitors the user's stress level and sends a reminder notification when the user reaches a low stress state.

[0410] Step 8:

[0411] Server: At midnight, read the information from the database and begin the purchase process.

[0412] Step 9:

[0413] Server: The emotion engine checks the user's intention to purchase again, and if appropriate, adds the smartphone to the cart via the product purchase API and processes the payment.

[0414] Step 10:

[0415] Server: Sends a success notification if the purchase is successful, or an error message if the purchase is unsuccessful.

[0416] Combining auction functionality with an emotion engine

[0417] Step 1:

[0418] Terminal: The user opens the auction site and selects the item they want to bid on.

[0419] Step 2:

[0420] Terminal: User enters maximum bid amount.

[0421] Step 3:

[0422] Terminal: The emotion engine analyzes the user's emotional state in real time based on their tone of voice and input data.

[0423] Step 4:

[0424] Terminal: Sends the bid information entered by the user and the emotion data analyzed by the emotion engine to the server.

[0425] Step 5:

[0426] Server: Stores the received bid information and sentiment data in a database.

[0427] Step 6:

[0428] Server: Periodically checks the status of bids from other users and automatically places a bid up to the user's maximum bid.

[0429] Step 7:

[0430] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[0431] Step 8:

[0432] Server: Checks the database for the auction end time, and determines the winner when the time comes.

[0433] Step 9:

[0434] Server: Determines the user with the highest bid as the auction winner.

[0435] Step 10:

[0436] Server: After the auction ends, the winner is notified and guided through the purchasing process.

[0437] Specific examples

[0438] Step 1:

[0439] User: A user visits an auction page for an antique clock.

[0440] Step 2:

[0441] User: Set the maximum bid to 100,000 yen.

[0442] Step 3:

[0443] Device: The emotion engine analyzes the user's tone of voice and typing speed to recognize a high level of intent to purchase.

[0444] Step 4:

[0445] Terminal: Sends bidding information and emotion data to the server.

[0446] Step 5:

[0447] Server: Stores bidding information and sentiment data in a database.

[0448] Step 6:

[0449] Server: If another user bids 80,000 yen, automatically bid 90,000 yen.

[0450] Step 7:

[0451] Server: The emotion engine monitors the user's stress level and adjusts the frequency and timing of bids as needed.

[0452] Step 8:

[0453] Server: Checks the auction end time, and when the time comes, determines the user with the highest bid as the winner.

[0454] Step 9:

[0455] Server: Notify the customer as the auction winner and guide them through the purchase process.

[0456] Example 2

[0457] 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."

[0458] In modern online shopping and auctions, users often feel stressed because they have to pay a lot of attention to make purchases and bids efficiently. Furthermore, the timing and content of reminder notifications are fixed and cannot be adjusted according to the user's emotional state, which can reduce the success rate of purchases and bids. This results in inconvenience for users and reduces their willingness to purchase and participate.

[0459] 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.

[0460] In this invention, the server includes a means for a user to input purchase reservation information, a means for transmitting the purchase reservation information to the server, a means for storing the purchase reservation information in a database, a means including a device for analyzing emotional states in real time, a means for sending a reminder notification based on the emotional state when the reservation time approaches, a means for automatically purchasing the product when the reservation time arrives, and a means for notifying the user of the purchase result. This enables reminders and an automatic purchasing process according to the user's emotional state, reducing stress for the user and improving convenience and the success rate of purchases and bids.

[0461] "Purchase reservation information" is information about the product that the user wants to purchase, specifically information including the purchase time, quantity, price conditions, and the like.

[0462] A "server" is a computer that transmits and receives data to and from users and other terminals via a network and executes various processes.

[0463] A "database" is a system for systematically storing and managing data, and in the present invention is used to store purchase reservation information and bidding information.

[0464] An "emotion engine" is software or hardware that analyzes a user's emotional state in real time.

[0465] A "reminder notification" is a notification sent to a user when the reservation time approaches, and is a message urging the user to prepare for purchase or bidding.

[0466] A "product purchase API" is an application programming interface used to purchase products in conjunction with external services or systems.

[0467] The "maximum bid" is a value indicating the maximum amount that a user is willing to pay for an auction item.

[0468] "Automatic purchase" refers to the process in which the system automatically purchases a product when the reserved time arrives, based on the conditions set by the user.

[0469] "Autobidding" is the process by which the system automatically places bids on behalf of a user in an auction based on the user's settings.

[0470] "Bid timing" refers to the specific time or timing at which a user or system places a bid in an auction.

[0471] The system of the present invention is based on a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system incorporates an emotion engine and includes a function to adjust reminder notifications and automatic purchasing processes based on the user's emotional state.

[0472] First, a user opens a shopping site using a device (e.g., smartphone, PC, etc.). The user selects the product they want to purchase and enters purchase reservation information such as the purchase reservation time, quantity, and price conditions. The device temporarily stores this information and uses an emotion engine (e.g., Google Cloud Natural Language API, Python NLP library, etc.) to analyze the user's emotional state in real time.

[0473] The device then sends the purchase reservation information to the server, which receives it via a REST API and stores it in a database such as MySQL.

[0474] As the reservation time approaches, the server uses an emotion engine to analyze the user's stress level and purchase intention. Based on the analysis results, the content and timing of the reminder notification can be adjusted. For example, the timing of sending the reminder can be delayed depending on the user's stress level.

[0475] When the reserved time arrives, the server uses a Cron job or similar to read the purchase reservation information from the database and begin the purchase process. The emotion engine analyzes the user's emotions again, and if the user is highly motivated to purchase, the specified product is added to the cart via a product purchase API (e.g., Amazon's API) and payment is processed. If the payment process is successful, the server updates the information in the database.

[0476] Finally, the server notifies the user of the purchase outcome using a notification system such as Firebase Cloud Messaging: if the purchase was successful, it sends a success notification to the user, and if it was unsuccessful, it sends an error message to the user.

[0477] As a concrete example, suppose a user opens a shopping site to purchase a new smartphone. The user sets the reservation time for the purchase at midnight, enters one quantity, and enters a price of less than 50,000 yen. This information is sent to the server, and the emotion engine analyzes the user's current emotional state. If stress is high, the time of the reminder notification is adjusted. When the reservation time arrives, the emotion engine checks the user's willingness to purchase again, and if appropriate, automatically purchases the product. The server notifies the user of the purchase result.

[0478] An example prompt might look like this:

[0479] "I want to reserve a new smartphone. The reservation time should be midnight, the quantity should be 1, and the price should be less than 50,000 yen. I also want to receive appropriate reminders based on my current emotional state, and automatically complete the purchase if necessary."

[0480] In this way, the present invention can improve user convenience and increase the success rate of purchases and bids by adjusting notifications and automatic purchasing processes based on the user's emotional state.

[0481] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0482] Step 1:

[0483] A user opens a shopping site and selects the product they want to purchase.

[0484] Specifically, a user launches a browser or shopping app on a device (such as a smartphone or PC) and displays the page of the product they wish to purchase. The data entered here is the product's identification information (product ID).

[0485] Step 2:

[0486] The user inputs purchase reservation information (purchase reservation time, quantity, price conditions).

[0487] The terminal temporarily stores the purchase reservation information and calls the emotion engine to analyze the user's emotional state in real time. The input data here are the purchase reservation time, quantity, price conditions, and text information (for emotion analysis) entered by the user.

[0488] Specifically, it sends text information to an emotion engine (e.g., Google Cloud Natural Language API) and obtains data that quantifies stress and purchase intent.

[0489] Step 3:

[0490] The terminal transmits purchase reservation information to the server.

[0491] The input is the purchase reservation information and sentiment analysis data obtained in step 2. The device uses the REST API to send this data to the server via a POST request. The output is the data received by the server.

[0492] Step 4:

[0493] The server stores the received purchase reservation information in a database.

[0494] Specifically, the server connects to a database such as MySQL and executes an SQL INSERT statement to save the purchase order information to a table. The input here is the purchase order information and related sentiment analysis data, and the output is the success / failure status of saving to the database.

[0495] Step 5:

[0496] As the reservation time approaches, the server uses the emotion engine to reanalyze the user's stress level and purchasing intent.

[0497] The input is purchase reservation information obtained from the database and periodically collected emotion data. The server sends an analysis request to the emotion engine based on this information. The output is the analysis results: stress level and purchase intent.

[0498] Step 6:

[0499] The server adjusts the content and timing of reminder notifications based on the emotional state.

[0500] The input is the sentiment analysis data obtained in step 5 and the user's notification settings. The server determines the timing and content of the notification based on this, and sends the reminder notification using Firebase Cloud Messaging or similar. The output is the notification sending result.

[0501] Step 7:

[0502] When the reserved time arrives, the server reads the purchase reservation information from the database and starts the purchase process.

[0503] The input is purchase reservation information retrieved from the database. The server uses this information to analyze the user's emotional state again using the emotion engine. The output is the analysis results and an instruction to execute the purchase process.

[0504] Step 8:

[0505] The server adds the specified product to the cart via the product purchase API and processes the payment.

[0506] The input is purchase reservation information and sentiment analysis data. The server uses an external API such as the Amazon API to add products to the cart and process the payment. The output is the success / failure status of the payment process.

[0507] Step 9:

[0508] The server notifies the user of the purchase result.

[0509] The input is the result of the payment process. The server uses a notification system such as Firebase Cloud Messaging to notify the user of the purchase result. The specific operation here is to send a message saying "Purchase successful" if successful, or "Purchase failed" if unsuccessful. The output is the notification sent.

[0510] Through these steps, the system can complete the purchasing process at the optimal time and in the optimal way according to the user's emotional state.

[0511] (Application example 2)

[0512] 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."

[0513] Conventional purchase reservation systems and auction systems often send reminder notifications and automatically purchase and bid based on a fixed schedule without considering the user's emotional state. This can lead to notifications and purchases being made at inappropriate times when the user is stressed or unmotivated, resulting in a poor user experience. The present invention aims to solve this problem by providing a purchase reservation and auction system that can flexibly respond to the user's emotional state.

[0514] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the content and timing of the reminder notification based on the emotional state, and means for sending the reminder notification when the reservation time approaches. This makes it possible to send reminder notifications and automatic purchases / bids at appropriate times depending on the user's emotional state.

[0515] "User" refers to an individual or organization that uses the system to make a purchase reservation or bid.

[0516] "Purchase reservation information" is a collection of information about the product that the user wants to purchase and its conditions (quantity, price conditions, reservation time, etc.).

[0517] The "server" is an information processing device that receives and processes purchase reservation information and bidding information.

[0518] A "database" is an information storage device for storing purchase reservation information and bidding information.

[0519] "Emotional state" refers to the user's state of mind, and includes factors such as sudden emotions, stress level, and purchasing intent.

[0520] A "reminder notification" is a notification that notifies the user of the timing of purchase or bid.

[0521] "Automatic purchasing" refers to the process of automatically purchasing products based on pre-set conditions.

[0522] "Autobidding" refers to the process of automatically placing bids on auction items based on pre-set conditions.

[0523] A "maximum bid" is the maximum amount a user is willing to pay in an auction.

[0524] "Purchase result" is information indicating whether the purchase of the product was successful or unsuccessful.

[0525] The "auction winner" is the user who offers the highest bid at the end of the auction.

[0526] "Stress level" is a numerical representation of the degree of tension or anxiety felt by the user.

[0527] "Purchase intent" indicates the degree to which the user wants to purchase the product.

[0528] The present invention relates to a system in which a user inputs purchase reservation information, which is then sent to a server and stored. It also incorporates an emotion engine to add functions for adjusting reminder notifications and automatic purchasing processes based on the user's emotional state. Detailed embodiments for implementing the present invention are described below.

[0529] 1. System Overview

[0530] This system is implemented as a smartphone application. Users input purchase reservation information using their smartphones, and the information is sent to a server. The server stores the received information in a database. The system works in conjunction with an emotion engine that analyzes the user's emotional state in real time.

[0531] 2. Hardware and Software

[0532] Terminal (smartphone): Used by users to enter purchase reservation information.

[0533] Server: Receives and processes purchase reservation information. Also, works with the emotion engine to analyze the user's emotional state.

[0534] Database: Stores purchase reservation information.

[0535] Emotion Engine API: An API for analyzing a user's emotional state in real time (e.g., Emotion Engine API).

[0536] Notification system: Send reminder notifications to users.

[0537] 3. Data Handling

[0538] When a user enters purchase reservation information, the information is first sent from the device (smartphone) to the server. The server stores the received information in a database. The server then calls the emotion engine API to analyze the user's emotional state in real time and adjusts the content and timing of reminder notifications based on that analysis.

[0539] 4. Automated Purchasing Process

[0540] As the reservation time approaches, the server reevaluates the user's emotional state and sends reminder notifications based on their stress level and purchase intent. When the reservation time arrives, the server automatically purchases the item and notifies the user of the results. This allows the purchase to be made at the optimal time when the user is most motivated to buy.

[0541] Specific examples

[0542] For example, suppose a user wants to purchase a new smartwatch. The user opens a smartphone app and enters the following information as a pre-order:

[0543] Appointment time: tomorrow night at 8pm

[0544] Maximum price: 30,000 yen

[0545] The system sends this information to the server for storage, and then uses an emotion engine API to analyze the user's emotional state and optimize the timing of reminders.

[0546] Prompt Sentence Examples

[0547] "You are a purchasing assistant. Based on the following user information and purchasing conditions, please analyze the user's emotional state and perform reminder notifications and automatic purchases at the optimal time.

[0548] User ID: 78910

[0549] Product ID: 55555

[0550] Appointment time: tomorrow night at 8pm

[0551] Maximum price: 30,000 yen

[0552] In this way, the present invention enables flexible reminder notifications and automatic purchases according to the user's emotional state, greatly improving the user experience.

[0553] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0554] Step 1:

[0555] The user enters purchase reservation information. Using a device (smartphone), the user enters information about the product they wish to purchase (product ID, reservation time, maximum price, etc.). This information is stored on the device.

[0556] Input: Product ID, reservation time, maximum price

[0557] Output: Purchase reservation information

[0558] Step 2:

[0559] The device sends the purchase reservation information to the server. The device collects the information entered by the user and sends it to the server's API endpoint.

[0560] Input: Purchase reservation information

[0561] Output: Request to server

[0562] Step 3:

[0563] The server stores the purchase reservation information in a database. The transmitted purchase reservation information is received by the server and stored in a database.

[0564] Input: Purchase reservation information

[0565] Output: Save results to database

[0566] Step 4:

[0567] The server analyzes the user's emotional state using the emotion engine API. The server sends the user's ID to the emotion engine API and receives the analysis result of the emotional state.

[0568] Input: User ID

[0569] Output: Emotional state data (stress level, purchase intent, etc.)

[0570] Step 5:

[0571] The server adjusts the content and timing of reminder notifications based on the user's emotional state. By analyzing the emotional state data, the server determines the timing and content of reminder notifications based on the user's stress level and purchase intent.

[0572] Input: Emotional state data

[0573] Output: Reminder notification timing and content

[0574] Step 6:

[0575] The server sends a reminder notification. When the time comes for the reminder to be sent, the server sends the reminder to the user through the notification system.

[0576] Input: Reminder timing and content

[0577] Output: Reminder notification

[0578] Step 7:

[0579] When the reservation time arrives, the server evaluates the user's emotional state again. As the reservation time approaches, the server calls the emotion engine API again to obtain new emotional state data.

[0580] Input: User ID

[0581] Output: New emotional state data

[0582] Step 8:

[0583] The server decides to execute an automatic purchase based on the emotional state. If the customer has a high desire to purchase based on the re-evaluated emotional state data, the server automatically starts the purchase process.

[0584] Input: New emotional state data

[0585] Output: Decision to execute automatic purchase

[0586] Step 9:

[0587] The server performs automatic purchases through the product purchase API. If automatic purchases are decided, the server calls the shopping site's API, adds the specified products to the cart, and processes the payment.

[0588] Input: Purchase decision data (product ID, price, etc.)

[0589] Output: Purchase result (success / failure)

[0590] Step 10:

[0591] The server notifies the user of the purchase result. If the purchase is successful, it sends a success notification to the user, and if it is unsuccessful, it sends an error message to the user.

[0592] Input: Purchase result

[0593] Output: User notification (success / failure)

[0594] 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.

[0595] 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.

[0596] 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.

[0597] [Second embodiment]

[0598] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0599] 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.

[0600] 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).

[0601] 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.

[0602] 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.

[0603] 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).

[0604] 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.

[0605] 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.

[0606] 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.

[0607] 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.

[0608] 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.

[0609] 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."

[0610] This invention describes a specific method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. In addition, a reminder notification is sent when the reservation time approaches, and the product is automatically purchased at the reserved time, so that the user does not miss the purchase opportunity.

[0611] Product purchase reservation function

[0612] 1. Enter your purchase reservation information

[0613] Terminal: The user selects the product they want to purchase from the interface of the online shopping site.

[0614] Terminal: The user enters the purchase reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[0615] 2. Sending reservation information

[0616] Terminal: Sends the purchase reservation information entered by the user to the server.

[0617] 3. Saving reservation information

[0618] Server: Saves the received purchase reservation information in a database.

[0619] 4. Set reminders

[0620] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[0621] 5. The reservation time arrives

[0622] Server: When the reserved time arrives, the purchase process begins.

[0623] Server: Purchases the specified product according to the purchase conditions stored in the database.

[0624] Server: Add the product to the cart via the purchase API and complete the payment.

[0625] 6. Notification of purchase results

[0626] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0627] Specific examples

[0628] User: A user is busy and doesn't have time to buy a new smartphone, so they schedule it to be purchased automatically at midnight.

[0629] Server: Saves the set purchase reservation information and schedules processing at the specified time.

[0630] Server: Starts the smartphone purchase process at midnight and purchases the product according to the conditions specified by the user.

[0631] Terminal: A purchase completion notification is sent to the user, ensuring that the user can obtain the desired product.

[0632] Auction function

[0633] 1. Enter your bidding information

[0634] Terminal: The user selects the auction item for which they wish to bid from the auction site interface.

[0635] Terminal: User enters maximum bid amount into form.

[0636] 2. Submitting Bid Information

[0637] Terminal: Sends the bid information entered by the user to the server.

[0638] 3. Saving Bid Information

[0639] Server: Stores the received bid information in a database.

[0640] 4. Monitoring the bidding process

[0641] Server: Periodically checks bid information from other users and updates the current highest bid.

[0642] 5. Execute automatic bidding

[0643] Server: When another user makes a new bid, the server automatically bids up to the user's maximum bid.

[0644] Server: For example, if another user bids 80,000 yen, the bid will be 90,000 yen according to internal settings.

[0645] 6. Confirmation of auction end

[0646] Server: Check the database for the auction end time, and proceed with the process when the end time arrives.

[0647] 7. Notification of bidding results

[0648] Server: After the auction ends, the user with the highest bid is determined as the winner and notified.

[0649] Specific examples

[0650] User: A user is interested in a certain antique watch and sets the maximum bid at 100,000 yen.

[0651] Server: Stores users' bidding information and monitors the bidding process.

[0652] Server: If another user bids 80,000 yen, the bid will automatically be set at 90,000 yen according to internal settings.

[0653] Server: If the user ultimately wins the auction with a bid of 100,000 yen, the result is notified.

[0654] Terminal: The user is notified of their auction win and guided through the purchase process.

[0655] Thus, the present invention allows users to utilize automated purchasing and bidding functions to efficiently secure needed products even in busy situations.

[0656] The processing flow will be explained below.

[0657] Product purchase reservation function

[0658] Step 1:

[0659] Device: The user opens a shopping site and selects the product they want to purchase.

[0660] Step 2:

[0661] Terminal: The user inputs purchase reservation information (purchase reservation time, quantity, price conditions, etc.).

[0662] Step 3:

[0663] Terminal: Sends the purchase reservation information entered by the user to the server.

[0664] Step 4:

[0665] Server: Saves the received purchase reservation information in a database.

[0666] Step 5:

[0667] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[0668] Step 6:

[0669] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[0670] Step 7:

[0671] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[0672] Step 8:

[0673] Server: Records the purchase result in a database and sends a result notification (purchase success / failure) to the user.

[0674] Specific examples

[0675] Step 1:

[0676] User: A user opens a site to purchase a new smartphone.

[0677] Step 2:

[0678] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[0679] Step 3:

[0680] Terminal: Sends purchase reservation information to the server.

[0681] Step 4:

[0682] Server: Saves the received purchase reservation information in a database.

[0683] Step 5:

[0684] Server: Set a task to send a reminder one hour before the scheduled time.

[0685] Step 6:

[0686] Server: At midnight, read the information from the database and begin the purchase process.

[0687] Step 7:

[0688] Server: Add the smartphone to the cart via the product purchase API and complete the payment.

[0689] Step 8:

[0690] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0691] Auction function

[0692] Step 1:

[0693] Terminal: The user opens the auction site and selects the item they want to bid on.

[0694] Step 2:

[0695] Terminal: User enters maximum bid amount.

[0696] Step 3:

[0697] Terminal: Sends bidding information to the server.

[0698] Step 4:

[0699] Server: Stores the received bid information in a database.

[0700] Step 5:

[0701] Server: Monitors the bidding status of other users and automatically places a bid up to the maximum bid amount.

[0702] Step 6:

[0703] Server: Check the database for the auction end time and proceed when the end time arrives.

[0704] Step 7:

[0705] Server: Determines the user with the highest bid as the auction winner.

[0706] Step 8:

[0707] Server: Sends notifications to auction winners and guides them through the purchase process.

[0708] Specific examples

[0709] Step 1:

[0710] User: A user visits an auction page for an antique clock.

[0711] Step 2:

[0712] User: Set the maximum bid to 100,000 yen.

[0713] Step 3:

[0714] Terminal: Sends bidding information to the server.

[0715] Step 4:

[0716] Server: Stores the bid information in a database.

[0717] Step 5:

[0718] Server: If another user makes a new bid of 80,000 yen, the bid will automatically be changed to 90,000 yen.

[0719] Step 6:

[0720] Server: When the auction end time arrives, proceed with the process.

[0721] Step 7:

[0722] Server: In the end, there are no bids exceeding 100,000 yen, so the user is determined to be the auction winner.

[0723] Step 8:

[0724] Server: Notifies the user of their auction win and guides them through the purchase process.

[0725] Example 1

[0726] 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."

[0727] In conventional online shopping and auction systems, users must individually complete procedures for pre-ordering and bidding on auctions, which can lead to busy schedules or situations where users are unable to respond immediately at a specific time. This can result in users missing the opportunity to purchase or find the desired product. It is particularly difficult to make a purchase or bid precisely at the reservation time or the end of the auction. Another problem is that users must immediately respond to the status of bids from other users, which is cumbersome and time-consuming.

[0728] 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.

[0729] In this invention, the server includes means for a user to input purchase reservation information, means for transmitting the purchase reservation information to the server, means for saving the purchase reservation information in a database, means for sending a reminder notification when the reservation time approaches, means for automatically purchasing the product when the reservation time arrives, means for notifying the user of the purchase result, means for periodically checking bid information from other users and updating the current highest bid amount, means for automatically bidding up to the user's maximum bid amount, and means for determining and notifying the winner of the auction. This allows users to use the automated process of advance purchases and auctions to reliably purchase and bid on desired products even when they are busy.

[0730] A "user" is a person who uses the system to purchase products or participate in auctions.

[0731] "Purchase reservation information" is data including information on the product that the user wishes to purchase, the purchase reservation time, and the purchase conditions (quantity, price conditions, etc.).

[0732] A "server" is a computer system that receives and processes information sent by users.

[0733] The "database" is an information storage system for storing and managing received purchase reservation information and bidding information.

[0734] "Reminder notification" is a function that sends a notification to the user when the reservation time approaches.

[0735] "Purchase API" is a program interface for adding products to a cart and completing payments.

[0736] "Bidding information" is data including information on the auction item for which the user wishes to bid and the maximum bid amount.

[0737] A "scheduler" is a system that is configured to perform specific operations at specific times.

[0738] A "purchase process" is a series of steps required to purchase a specified product.

[0739] The "auction winner" is the user who submitted the highest bid at the end of the auction.

[0740] The present invention is a method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system includes functions for allowing a user to reserve a product they wish to purchase and automatically purchase it at a specified time, and functions for automatically placing a bid up to the maximum amount in an auction.

[0741] Product purchase reservation function

[0742] Enter purchase reservation information

[0743] The user selects the product he or she wants to purchase through the interface of the online shopping site, and inputs the reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[0744] Send reservation information

[0745] The terminal transmits the purchase reservation information input by the user to the server.

[0746] Save reservation information

[0747] The server stores the received purchase reservation information in a database and manages the database so that the information can be stored appropriately.

[0748] Setting reminders

[0749] The server registers a task in the scheduler to send a reminder notification when the reserved time approaches, so that the user can receive a notification that the reserved time is approaching.

[0750] The reservation time arrives

[0751] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the reservation information from the database, purchases the specified product, adds the product to the cart via the purchase API, and completes the payment.

[0752] Notification of purchase results

[0753] The server will send a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0754] Auction function

[0755] Entering bid information

[0756] Through the auction site interface, users select the auction item they wish to bid on and enter their maximum bid amount into a form.

[0757] Submitting bid information

[0758] The terminal transmits the bid information entered by the user to the server.

[0759] Save bid information

[0760] The server stores the received bid information in a database and manages the database so that the information can be stored appropriately.

[0761] Monitoring the bidding process

[0762] The server periodically checks for bid information from other users and updates the current maximum bid.

[0763] Executing automatic bidding

[0764] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[0765] Confirmation of auction end

[0766] The server checks the database for the auction end time and proceeds with the process when the end time arrives.

[0767] Notification of bidding results

[0768] The server will determine the user who submitted the highest bid as the winner and send a notification.

[0769] Specific actions

[0770] Product purchase reservation function

[0771] User: Schedules an automatic purchase of a new smartphone at midnight and fills out a form on an online shopping site.

[0772] Terminal: Sends the entered reservation information to the server.

[0773] Server: Saves the received reservation information in a database and schedules a task to send a reminder at midnight.

[0774] Server: At midnight, start the process of purchasing a new smartphone based on the reservation information. This is done by adding it to the cart via the purchase API and completing the payment.

[0775] Server: Sends a successful purchase notification to the user, who confirms that the purchase is complete.

[0776] Auction function

[0777] User: Participates in an antique watch auction, setting the maximum bid at 100,000 yen, and enters the information into the form on the auction site.

[0778] Terminal: Sends the entered bid information to the server.

[0779] Server: Stores the received bid information in a database and monitors the bidding status of other users.

[0780] Server: If another user bids 80,000 yen, execute a process to automatically bid 90,000 yen.

[0781] Server: When the auction ends, notify the user with the highest bid as the winner.

[0782] Terminal: Notifies the user of their auction win and guides them through the purchase process.

[0783] Prompt Sentence Examples

[0784] For product purchase reservations: "I would like to automatically reserve a new smartphone at 25:00 on April 20th."

[0785] For an auction: "I would like to participate in an antique watch auction for up to 100,000 yen."

[0786] In this way, the present invention allows users to automatically purchase products or participate in auctions regardless of the reservation time or the auction end time. This system is particularly convenient for busy users, helping them to ensure that they can obtain the products they want.

[0787] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0788] Product purchase reservation function

[0789] Step 1: Enter your purchase reservation information

[0790] A user selects a product he or she wants to purchase through the interface of an online shopping site, and then inputs the reservation time and purchase conditions (quantity, price, etc.) into a form.

[0791] Input: Product information, reservation time, and purchase conditions entered by the user

[0792] Output: Purchase reservation information sent to the device

[0793] Step 2: Submit your reservation information

[0794] The terminal sends the purchase reservation information that the user entered in the form to the server, where it converts the purchase reservation information into an appropriate format and sends it to the server.

[0795] Input: Purchase reservation information entered in the form

[0796] Output: Purchase reservation information sent to the server

[0797] Step 3: Save your reservation

[0798] The server saves the received purchase reservation information in a database. The server adds the reservation information to the database and stores the information securely.

[0799] Input: Purchase reservation information received by the server

[0800] Output: Reservation information stored in the database

[0801] Step 4: Set up reminders

[0802] The server registers a task with the scheduler to send a reminder notification, so that a notification is sent when the specified reservation time approaches.

[0803] Input: Reminder notification setting information based on reservation time

[0804] Output: Notification task registered with the scheduler

[0805] Step 5: Appointment time arrives

[0806] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the relevant reservation information from the database, adds the product to the cart via the purchase API, and completes the payment.

[0807] Input: Notifications from the scheduler, reservation information from the database

[0808] Output: Items added to cart via the Purchase API, completed payments

[0809] Step 6: Notification of purchase results

[0810] The server checks the result of the purchase process and sends a success notification to the user if the purchase was successful, or an error message if the purchase was unsuccessful.

[0811] Input: Purchase process result

[0812] Output: Notification of purchase results sent to the user

[0813] Auction function

[0814] Step 1: Enter your bid information

[0815] Through the auction site interface, a user selects the auction item for which they wish to place a bid and enters a maximum bid amount into a form.

[0816] Input: Auction item information entered by the user, maximum bid amount

[0817] Output: Bid information sent to the terminal

[0818] Step 2: Submit your bid

[0819] The terminal transmits the bid information entered by the user in the form to the server, where it converts the bid information into an appropriate format and transmits it to the server.

[0820] Input: Bid information entered into the form

[0821] Output: Bid information sent to the server

[0822] Step 3: Save your bid

[0823] The server stores the received bid information in a database, and performs an add operation on the bid information in the database to ensure that the information is stored securely.

[0824] Input: Bid information received by the server

[0825] Output: Bid information stored in a database

[0826] Step 4: Monitor the bidding process

[0827] The server periodically checks bid information from other users and updates the current maximum bid amount. The server compares each bid information and processes it to update the maximum bid amount.

[0828] Input: Bid information from other users

[0829] Output: Updated maximum bid

[0830] Step 5: Run automated bidding

[0831] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[0832] Input: New bid information from other users, maximum bid amount

[0833] Output: Automatically placed bid information

[0834] Step 6: Confirm the auction has ended

[0835] The server checks the auction end time in the database and proceeds if the end time is reached. The server compares the end time with the current time and determines the outcome if the end time is reached.

[0836] Input: Auction end time information from the database

[0837] Output: Bidding status at the end of the auction

[0838] Step 7: Notification of bidding results

[0839] The server determines the user who submitted the highest bid as the winner and sends a notification. The server identifies the winner information, generates a notification, and sends it to the user.

[0840] Input: Final auction bid results

[0841] Output: Winner notification sent to user

[0842] This system provides functions that allow users to reliably purchase desired products and succeed in auctions even when they are busy.

[0843] (Application example 1)

[0844] 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."

[0845] With current food delivery services, users often miss their order time, making it difficult to order in a timely manner given their busy daily lives. Furthermore, users are concerned about whether their reserved order will arrive, which reduces convenience. There is a need for technological solutions that can solve this problem and ensure that users receive their food at the time they set.

[0846] 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.

[0847] In this invention, the server includes a means for a user to input food order reservation information, a means for transmitting the food order reservation information to the server, a means for storing the food order reservation information in a database, a means for sending a reminder notification when the reservation time approaches, a means for automatically executing the food order when the reservation time arrives, and a means for notifying the user of the order result, thereby enabling the user to receive the food at the set time.

[0848] "User" means a person who uses the system to purchase and reserve food and merchandise.

[0849] "Purchase reservation information" is detailed information such as information about the food or product that the user wishes to purchase or order, the purchase date and time, quantity, price conditions, etc.

[0850] "Server" means a central processing unit that receives, processes, stores, and manages information sent by users.

[0851] "Database" means a repository of information that stores purchase reservation information and other related information and makes it available for retrieval when needed.

[0852] A "reminder notification" is a notification that notifies the user that the reservation time is approaching.

[0853] "Food ordering" refers to the act of purchasing specified food at a time specified by the user.

[0854] "Order result" is information indicating the success or failure of the food order.

[0855] "Monitoring" refers to the task of watching for the arrival of a reservation time or changes in other conditions.

[0856] The present invention is a system that executes a process in which a user inputs reservation information, automatically orders food based on that information, and notifies the user. A specific method for implementing this system will be described below.

[0857] 1. Enter your purchase reservation information

[0858] Users input the desired food items and order details through a smartphone app or PC interface, including the food items, quantity, reservation time, and other purchase conditions (such as price).

[0859] 2. Sending and storing purchase reservation information

[0860] The terminal sends the entered purchase reservation information to the server, which stores the received information in a database. The database can use a common database management system such as MySQL.

[0861] 3. Send reminders

[0862] The server registers the task in the scheduler to send a reminder notification when the reservation time approaches. The scheduler can be Cron or Task Scheduler. The reminder notification is sent to the user's terminal five minutes before the reservation time.

[0863] 4. Automatic food ordering

[0864] When the reserved time arrives, the server automatically executes the food order. The server starts the food order process according to the purchase conditions stored in the database and orders the specified food. This order can be made using an external food delivery API.

[0865] 5. Notification of order results

[0866] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. This notification can also be sent by email or in-app notification. The user will receive the notification and can pick up the food at the specified time.

[0867] Specific examples

[0868] Consider a user who has set up a specific pizza to be automatically ordered every Friday night at 8pm.

[0869] A user uses the app to schedule an order for a specific pizza at 8pm on Friday night.

[0870] The server stores this configuration information in a database.

[0871] A reminder notification will be sent to users every Friday night at 7:55pm.

[0872] At 8pm, the server automatically processes the pizza order and completes the payment.

[0873] A completion notification will be sent to the user, who can then collect their pizza at the specified time.

[0874] Prompt Sentence Examples

[0875] "Set up a plan to automatically order pizza every Friday night at 8pm. You don't have to worry about anything, we'll order it for you."

[0876] This ensures that users receive their desired food items in a timely manner, even in busy situations.

[0877] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0878] Step 1: Enter your purchase reservation information

[0879] Users input the food they want and the details of their order through a smartphone app or PC interface, including the type of food, quantity, reservation time, and price conditions. The information entered by the user is collected on the device and converted into a data format such as JSON.

[0880] Step 2: Submit your purchase reservation information

[0881] The terminal sends the purchase reservation information entered by the user to the server. Specifically, the terminal sends data to the server using an HTTP POST request. This request includes the information entered by the user.

[0882] Step 3: Save your purchase reservation information

[0883] The server stores the received purchase reservation information in a database using a database management system such as MySQL. The database table contains fields such as the user ID, food type, quantity, and reservation time.

[0884] Step 4: Set up reminders

[0885] The server registers a task in the scheduler to send a reminder notification when the reservation time approaches. Specifically, using a Cron job or Task Scheduler, it is set up so that a reminder notification is sent five minutes before the reservation time. This task is dynamically created based on the reservation information of each user.

[0886] Step 5: Send reminders

[0887] Five minutes before the reservation time, the scheduler is triggered and the server sends a reminder notification to the user's device. The notification is sent as a push notification or email to inform the user that the reservation is approaching, so that the user does not miss the timing of their order.

[0888] Step 6: Automate food ordering

[0889] When the reservation time arrives, the server automatically places the food order. The server references the reservation information stored in the database and places the order using an external food delivery API. This API call sends the order details to the specified restaurant and completes the payment.

[0890] Step 7: Order Result Notification

[0891] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. Notifications are sent as push notifications or emails, allowing the user to immediately check whether the order was successful.

[0892] This allows users to automatically order food and ensure it is received.

[0893] 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.

[0894] The present invention describes a method for implementing a system in which a user inputs purchase order information, transmits the purchase order information to a server, and the server stores the purchase order information in a database, and combines an emotion engine to adjust reminder notifications and automated purchasing processes based on the user's emotional state.

[0895] Combining product purchase reservation functionality with an emotion engine

[0896] 1. Enter your purchase reservation information

[0897] Device: The user opens a shopping site and selects the product they want to purchase.

[0898] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[0899] Terminal: The emotion engine analyzes the user's emotional state in real time.

[0900] 2. Sending reservation information

[0901] Terminal: Sends the purchase reservation information entered by the user to the server.

[0902] 3. Saving reservation information

[0903] Server: Saves the received purchase reservation information in a database.

[0904] 4. Set reminders

[0905] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[0906] 5. The reservation time arrives

[0907] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[0908] Server: The emotion engine reassess the purchase intent and executes the purchase process if appropriate.

[0909] 6. Executing Automatic Purchases

[0910] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[0911] 7. Notification of purchase results

[0912] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[0913] Specific examples

[0914] User: A user opens a site to purchase a new smartphone.

[0915] Terminal: The user enters a purchase reservation time of midnight, quantity 1, and price of 50,000 yen or less, and the information is sent to the server.

[0916] On the device: The emotion engine analyzes the user's current emotional state and adjusts the reminder notification time if stress levels are high.

[0917] Server: The emotion engine may wait until the user's stress level decreases before sending a reminder notification.

[0918] Server: At midnight, the emotion engine checks the user's purchase intent again and automatically purchases the product if appropriate.

[0919] Server: The server notifies the user of the purchase result.

[0920] Combining auction functionality with an emotion engine

[0921] 1. Enter your bidding information

[0922] Terminal: The user opens the auction site and selects the item they want to bid on.

[0923] Terminal: User enters maximum bid amount.

[0924] Terminal: The emotion engine analyzes the user's emotional state in real time.

[0925] 2. Submitting Bid Information

[0926] Terminal: Sends the bid information entered by the user to the server.

[0927] 3. Saving Bid Information

[0928] Server: Stores the received bid information in a database.

[0929] 4. Monitoring the bidding process

[0930] Server: Periodically checks the status of bids from other users and automatically places a bid up to the maximum amount.

[0931] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[0932] 5. Execute automatic bidding

[0933] Server: When other users make new bids, they make bids up to the user's maximum bid.

[0934] Server: The emotion engine adjusts the frequency and timing of automated bidding based on the user's emotional state.

[0935] 6. Confirmation of auction end

[0936] Server: Checks the auction end time and determines the winner when the time comes.

[0937] 7. Notification of bidding results

[0938] Server: After the auction ends, the user with the highest bid is notified as the winner.

[0939] Specific examples

[0940] User: A user visits an auction page for an antique clock.

[0941] Device: The maximum bid is set to 100,000 yen, and the emotion engine analyzes the user's current emotional state.

[0942] Server: When a reminder notification is sent, the emotion engine reassess the user's stress and purchase intent and adjusts the content and timing of the notification.

[0943] Server: If the user ultimately wins the auction, they are notified of the result and guided through the purchase process.

[0944] In this way, by combining emotion engines, it is possible to create a system that provides more appropriate notifications and automatic purchasing / bidding based on the user's emotions.

[0945] The processing flow will be explained below.

[0946] Combining product purchase reservation functionality with an emotion engine

[0947] Step 1:

[0948] Device: The user opens a shopping site and selects the product they want to purchase.

[0949] Step 2:

[0950] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[0951] Step 3:

[0952] Terminal: The emotion engine analyzes the user's emotional state in real time based on facial recognition, voice analysis, input data, etc.

[0953] Step 4:

[0954] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[0955] Step 5:

[0956] Server: Stores the received purchase reservation information and emotion data in a database.

[0957] Step 6:

[0958] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[0959] Step 7:

[0960] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[0961] Step 8:

[0962] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[0963] Step 9:

[0964] Server: The emotion engine reassess the purchase intent and, if appropriate, adds the product to the cart via the product purchase API and processes the payment.

[0965] Step 10:

[0966] Server: Records the purchase results in a database and sends a success or error message to the user.

[0967] Specific examples

[0968] Step 1:

[0969] User: A user opens a shopping site to purchase a new smartphone.

[0970] Step 2:

[0971] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[0972] Step 3:

[0973] Device: The emotion engine analyzes the user's facial expressions and recognizes high stress levels.

[0974] Step 4:

[0975] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[0976] Step 5:

[0977] Server: Stores the received purchase reservation information and emotion data in a database.

[0978] Step 6:

[0979] Server: Set a task to send a reminder one hour before the scheduled time.

[0980] Step 7:

[0981] Server: The emotion engine monitors the user's stress level and sends a reminder notification when the user reaches a low stress state.

[0982] Step 8:

[0983] Server: At midnight, read the information from the database and begin the purchase process.

[0984] Step 9:

[0985] Server: The emotion engine checks the user's intention to purchase again, and if appropriate, adds the smartphone to the cart via the product purchase API and processes the payment.

[0986] Step 10:

[0987] Server: Sends a success notification if the purchase is successful, or an error message if the purchase is unsuccessful.

[0988] Combining auction functionality with an emotion engine

[0989] Step 1:

[0990] Terminal: The user opens the auction site and selects the item they want to bid on.

[0991] Step 2:

[0992] Terminal: User enters maximum bid amount.

[0993] Step 3:

[0994] Terminal: The emotion engine analyzes the user's emotional state in real time based on their tone of voice and input data.

[0995] Step 4:

[0996] Terminal: Sends the bid information entered by the user and the emotion data analyzed by the emotion engine to the server.

[0997] Step 5:

[0998] Server: Stores the received bid information and sentiment data in a database.

[0999] Step 6:

[1000] Server: Periodically checks the status of bids from other users and automatically places a bid up to the user's maximum bid.

[1001] Step 7:

[1002] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[1003] Step 8:

[1004] Server: Checks the database for the auction end time, and determines the winner when the time comes.

[1005] Step 9:

[1006] Server: Determines the user with the highest bid as the auction winner.

[1007] Step 10:

[1008] Server: After the auction ends, the winner is notified and guided through the purchasing process.

[1009] Specific examples

[1010] Step 1:

[1011] User: A user visits an auction page for an antique clock.

[1012] Step 2:

[1013] User: Set the maximum bid to 100,000 yen.

[1014] Step 3:

[1015] Device: The emotion engine analyzes the user's tone of voice and typing speed to recognize a high level of intent to purchase.

[1016] Step 4:

[1017] Terminal: Sends bidding information and emotion data to the server.

[1018] Step 5:

[1019] Server: Stores bidding information and sentiment data in a database.

[1020] Step 6:

[1021] Server: If another user bids 80,000 yen, automatically bid 90,000 yen.

[1022] Step 7:

[1023] Server: The emotion engine monitors the user's stress level and adjusts the frequency and timing of bids as needed.

[1024] Step 8:

[1025] Server: Checks the auction end time, and when the time comes, determines the user with the highest bid as the winner.

[1026] Step 9:

[1027] Server: Notify the customer as the auction winner and guide them through the purchase process.

[1028] Example 2

[1029] 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."

[1030] In modern online shopping and auctions, users often feel stressed because they have to pay a lot of attention to make purchases and bids efficiently. Furthermore, the timing and content of reminder notifications are fixed and cannot be adjusted according to the user's emotional state, which can reduce the success rate of purchases and bids. This results in inconvenience for users and reduces their willingness to purchase and participate.

[1031] 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.

[1032] In this invention, the server includes a means for a user to input purchase reservation information, a means for transmitting the purchase reservation information to the server, a means for storing the purchase reservation information in a database, a means including a device for analyzing emotional states in real time, a means for sending a reminder notification based on the emotional state when the reservation time approaches, a means for automatically purchasing the product when the reservation time arrives, and a means for notifying the user of the purchase result. This enables reminders and an automatic purchasing process according to the user's emotional state, reducing stress for the user and improving convenience and the success rate of purchases and bids.

[1033] "Purchase reservation information" is information about the product that the user wants to purchase, specifically information including the purchase time, quantity, price conditions, and the like.

[1034] A "server" is a computer that transmits and receives data to and from users and other terminals via a network and executes various processes.

[1035] A "database" is a system for systematically storing and managing data, and in the present invention is used to store purchase reservation information and bidding information.

[1036] An "emotion engine" is software or hardware that analyzes a user's emotional state in real time.

[1037] A "reminder notification" is a notification sent to a user when the reservation time approaches, and is a message urging the user to prepare for purchase or bidding.

[1038] A "product purchase API" is an application programming interface used to purchase products in conjunction with external services or systems.

[1039] The "maximum bid" is a value indicating the maximum amount that a user is willing to pay for an auction item.

[1040] "Automatic purchase" refers to the process in which the system automatically purchases a product when the reserved time arrives, based on the conditions set by the user.

[1041] "Autobidding" is the process by which the system automatically places bids on behalf of a user in an auction based on the user's settings.

[1042] "Bid timing" refers to the specific time or timing at which a user or system places a bid in an auction.

[1043] The system of the present invention is based on a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system incorporates an emotion engine and includes a function to adjust reminder notifications and automatic purchasing processes based on the user's emotional state.

[1044] First, a user opens a shopping site using a device (e.g., smartphone, PC, etc.). The user selects the product they want to purchase and enters purchase reservation information such as the purchase reservation time, quantity, and price conditions. The device temporarily stores this information and uses an emotion engine (e.g., Google Cloud Natural Language API, Python NLP library, etc.) to analyze the user's emotional state in real time.

[1045] The device then sends the purchase reservation information to the server, which receives it via a REST API and stores it in a database such as MySQL.

[1046] As the reservation time approaches, the server uses an emotion engine to analyze the user's stress level and purchase intention. Based on the analysis results, the content and timing of the reminder notification can be adjusted. For example, the timing of sending the reminder can be delayed depending on the user's stress level.

[1047] When the reserved time arrives, the server uses a Cron job or similar to read the purchase reservation information from the database and begin the purchase process. The emotion engine analyzes the user's emotions again, and if the user is highly motivated to purchase, the specified product is added to the cart via a product purchase API (e.g., Amazon's API) and payment is processed. If the payment process is successful, the server updates the information in the database.

[1048] Finally, the server notifies the user of the purchase outcome using a notification system such as Firebase Cloud Messaging: if the purchase was successful, it sends a success notification to the user, and if it was unsuccessful, it sends an error message to the user.

[1049] As a concrete example, suppose a user opens a shopping site to purchase a new smartphone. The user sets the reservation time for the purchase at midnight, enters one quantity, and enters a price of less than 50,000 yen. This information is sent to the server, and the emotion engine analyzes the user's current emotional state. If stress is high, the time of the reminder notification is adjusted. When the reservation time arrives, the emotion engine checks the user's willingness to purchase again, and if appropriate, automatically purchases the product. The server notifies the user of the purchase result.

[1050] An example prompt might look like this:

[1051] "I want to reserve a new smartphone. The reservation time should be midnight, the quantity should be 1, and the price should be less than 50,000 yen. I also want to receive appropriate reminders based on my current emotional state, and automatically complete the purchase if necessary."

[1052] In this way, the present invention can improve user convenience and increase the success rate of purchases and bids by adjusting notifications and automatic purchasing processes based on the user's emotional state.

[1053] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1054] Step 1:

[1055] A user opens a shopping site and selects the product they want to purchase.

[1056] Specifically, a user launches a browser or shopping app on a device (such as a smartphone or PC) and displays the page of the product they wish to purchase. The data entered here is the product's identification information (product ID).

[1057] Step 2:

[1058] The user inputs purchase reservation information (purchase reservation time, quantity, price conditions).

[1059] The terminal temporarily stores the purchase reservation information and calls the emotion engine to analyze the user's emotional state in real time. The input data here are the purchase reservation time, quantity, price conditions, and text information (for emotion analysis) entered by the user.

[1060] Specifically, it sends text information to an emotion engine (e.g., Google Cloud Natural Language API) and obtains data that quantifies stress and purchase intent.

[1061] Step 3:

[1062] The terminal transmits purchase reservation information to the server.

[1063] The input is the purchase reservation information and sentiment analysis data obtained in step 2. The device uses the REST API to send this data to the server via a POST request. The output is the data received by the server.

[1064] Step 4:

[1065] The server stores the received purchase reservation information in a database.

[1066] Specifically, the server connects to a database such as MySQL and executes an SQL INSERT statement to save the purchase order information to a table. The input here is the purchase order information and related sentiment analysis data, and the output is the success / failure status of saving to the database.

[1067] Step 5:

[1068] As the reservation time approaches, the server uses the emotion engine to reanalyze the user's stress level and purchasing intent.

[1069] The input is purchase reservation information obtained from the database and periodically collected emotion data. The server sends an analysis request to the emotion engine based on this information. The output is the analysis results: stress level and purchase intent.

[1070] Step 6:

[1071] The server adjusts the content and timing of reminder notifications based on the emotional state.

[1072] The input is the sentiment analysis data obtained in step 5 and the user's notification settings. The server determines the timing and content of the notification based on this, and sends the reminder notification using Firebase Cloud Messaging or similar. The output is the notification sending result.

[1073] Step 7:

[1074] When the reserved time arrives, the server reads the purchase reservation information from the database and starts the purchase process.

[1075] The input is purchase reservation information retrieved from the database. The server uses this information to analyze the user's emotional state again using the emotion engine. The output is the analysis results and an instruction to execute the purchase process.

[1076] Step 8:

[1077] The server adds the specified product to the cart via the product purchase API and processes the payment.

[1078] The input is purchase reservation information and sentiment analysis data. The server uses an external API such as the Amazon API to add products to the cart and process the payment. The output is the success / failure status of the payment process.

[1079] Step 9:

[1080] The server notifies the user of the purchase result.

[1081] The input is the result of the payment process. The server uses a notification system such as Firebase Cloud Messaging to notify the user of the purchase result. The specific operation here is to send a message saying "Purchase successful" if successful, or "Purchase failed" if unsuccessful. The output is the notification sent.

[1082] Through these steps, the system can complete the purchasing process at the optimal time and in the optimal way according to the user's emotional state.

[1083] (Application example 2)

[1084] 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."

[1085] Conventional purchase reservation systems and auction systems often send reminder notifications and automatically purchase and bid based on a fixed schedule without considering the user's emotional state. This can lead to notifications and purchases being made at inappropriate times when the user is stressed or unmotivated, resulting in a poor user experience. The present invention aims to solve this problem by providing a purchase reservation and auction system that can flexibly respond to the user's emotional state.

[1086] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the content and timing of the reminder notification based on the emotional state, and means for sending the reminder notification when the reservation time approaches. This makes it possible to send reminder notifications and automatic purchases / bids at appropriate times depending on the user's emotional state.

[1087] "User" refers to an individual or organization that uses the system to make a purchase reservation or bid.

[1088] "Purchase reservation information" is a collection of information about the product that the user wants to purchase and its conditions (quantity, price conditions, reservation time, etc.).

[1089] The "server" is an information processing device that receives and processes purchase reservation information and bidding information.

[1090] A "database" is an information storage device for storing purchase reservation information and bidding information.

[1091] "Emotional state" refers to the user's state of mind, and includes factors such as sudden emotions, stress level, and purchasing intent.

[1092] A "reminder notification" is a notification that notifies the user of the timing of purchase or bid.

[1093] "Automatic purchasing" refers to the process of automatically purchasing products based on pre-set conditions.

[1094] "Autobidding" refers to the process of automatically placing bids on auction items based on pre-set conditions.

[1095] A "maximum bid" is the maximum amount a user is willing to pay in an auction.

[1096] "Purchase result" is information indicating whether the purchase of the product was successful or unsuccessful.

[1097] The "auction winner" is the user who offers the highest bid at the end of the auction.

[1098] "Stress level" is a numerical representation of the degree of tension or anxiety felt by the user.

[1099] "Purchase intent" indicates the degree to which the user wants to purchase the product.

[1100] The present invention relates to a system in which a user inputs purchase reservation information, which is then sent to a server and stored. It also incorporates an emotion engine to add functions for adjusting reminder notifications and automatic purchasing processes based on the user's emotional state. Detailed embodiments for implementing the present invention are described below.

[1101] 1. System Overview

[1102] This system is implemented as a smartphone application. Users input purchase reservation information using their smartphones, and the information is sent to a server. The server stores the received information in a database. The system works in conjunction with an emotion engine that analyzes the user's emotional state in real time.

[1103] 2. Hardware and Software

[1104] Terminal (smartphone): Used by users to enter purchase reservation information.

[1105] Server: Receives and processes purchase reservation information. Also, works with the emotion engine to analyze the user's emotional state.

[1106] Database: Stores purchase reservation information.

[1107] Emotion Engine API: An API for analyzing a user's emotional state in real time (e.g., Emotion Engine API).

[1108] Notification system: Send reminder notifications to users.

[1109] 3. Data Handling

[1110] When a user enters purchase reservation information, the information is first sent from the device (smartphone) to the server. The server stores the received information in a database. The server then calls the emotion engine API to analyze the user's emotional state in real time and adjusts the content and timing of reminder notifications based on that analysis.

[1111] 4. Automated Purchasing Process

[1112] As the reservation time approaches, the server reevaluates the user's emotional state and sends reminder notifications based on their stress level and purchase intent. When the reservation time arrives, the server automatically purchases the item and notifies the user of the results. This allows the purchase to be made at the optimal time when the user is most motivated to buy.

[1113] Specific examples

[1114] For example, suppose a user wants to purchase a new smartwatch. The user opens a smartphone app and enters the following information as a pre-order:

[1115] Appointment time: tomorrow night at 8pm

[1116] Maximum price: 30,000 yen

[1117] The system sends this information to the server for storage, and then uses an emotion engine API to analyze the user's emotional state and optimize the timing of reminders.

[1118] Prompt Sentence Examples

[1119] "You are a purchasing assistant. Based on the following user information and purchasing conditions, please analyze the user's emotional state and perform reminder notifications and automatic purchases at the optimal time.

[1120] User ID: 78910

[1121] Product ID: 55555

[1122] Appointment time: tomorrow night at 8pm

[1123] Maximum price: 30,000 yen

[1124] In this way, the present invention enables flexible reminder notifications and automatic purchases according to the user's emotional state, greatly improving the user experience.

[1125] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1126] Step 1:

[1127] The user enters purchase reservation information. Using a device (smartphone), the user enters information about the product they wish to purchase (product ID, reservation time, maximum price, etc.). This information is stored on the device.

[1128] Input: Product ID, reservation time, maximum price

[1129] Output: Purchase reservation information

[1130] Step 2:

[1131] The device sends the purchase reservation information to the server. The device collects the information entered by the user and sends it to the server's API endpoint.

[1132] Input: Purchase reservation information

[1133] Output: Request to server

[1134] Step 3:

[1135] The server stores the purchase reservation information in a database. The transmitted purchase reservation information is received by the server and stored in a database.

[1136] Input: Purchase reservation information

[1137] Output: Save results to database

[1138] Step 4:

[1139] The server analyzes the user's emotional state using the emotion engine API. The server sends the user's ID to the emotion engine API and receives the analysis result of the emotional state.

[1140] Input: User ID

[1141] Output: Emotional state data (stress level, purchase intent, etc.)

[1142] Step 5:

[1143] The server adjusts the content and timing of reminder notifications based on the user's emotional state. By analyzing the emotional state data, the server determines the timing and content of reminder notifications based on the user's stress level and purchase intent.

[1144] Input: Emotional state data

[1145] Output: Reminder notification timing and content

[1146] Step 6:

[1147] The server sends a reminder notification. When the time comes for the reminder to be sent, the server sends the reminder to the user through the notification system.

[1148] Input: Reminder timing and content

[1149] Output: Reminder notification

[1150] Step 7:

[1151] When the reservation time arrives, the server evaluates the user's emotional state again. As the reservation time approaches, the server calls the emotion engine API again to obtain new emotional state data.

[1152] Input: User ID

[1153] Output: New emotional state data

[1154] Step 8:

[1155] The server decides to execute an automatic purchase based on the emotional state. If the customer has a high desire to purchase based on the re-evaluated emotional state data, the server automatically starts the purchase process.

[1156] Input: New emotional state data

[1157] Output: Decision to execute automatic purchase

[1158] Step 9:

[1159] The server performs automatic purchases through the product purchase API. If automatic purchases are decided, the server calls the shopping site's API, adds the specified products to the cart, and processes the payment.

[1160] Input: Purchase decision data (product ID, price, etc.)

[1161] Output: Purchase result (success / failure)

[1162] Step 10:

[1163] The server notifies the user of the purchase result. If the purchase is successful, it sends a success notification to the user, and if it is unsuccessful, it sends an error message to the user.

[1164] Input: Purchase result

[1165] Output: User notification (success / failure)

[1166] 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.

[1167] 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.

[1168] 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.

[1169] [Third embodiment]

[1170] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1171] 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.

[1172] 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).

[1173] 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.

[1174] 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.

[1175] 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).

[1176] 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.

[1177] 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.

[1178] 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.

[1179] 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.

[1180] 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.

[1181] 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."

[1182] This invention describes a specific method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. In addition, a reminder notification is sent when the reservation time approaches, and the product is automatically purchased at the reserved time, so that the user does not miss the purchase opportunity.

[1183] Product purchase reservation function

[1184] 1. Enter your purchase reservation information

[1185] Terminal: The user selects the product they want to purchase from the interface of the online shopping site.

[1186] Terminal: The user enters the purchase reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[1187] 2. Sending reservation information

[1188] Terminal: Sends the purchase reservation information entered by the user to the server.

[1189] 3. Saving reservation information

[1190] Server: Saves the received purchase reservation information in a database.

[1191] 4. Set reminders

[1192] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[1193] 5. The reservation time arrives

[1194] Server: When the reserved time arrives, the purchase process begins.

[1195] Server: Purchases the specified product according to the purchase conditions stored in the database.

[1196] Server: Add the product to the cart via the purchase API and complete the payment.

[1197] 6. Notification of purchase results

[1198] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1199] Specific examples

[1200] User: A user is busy and doesn't have time to buy a new smartphone, so they schedule it to be purchased automatically at midnight.

[1201] Server: Saves the set purchase reservation information and schedules processing at the specified time.

[1202] Server: Starts the smartphone purchase process at midnight and purchases the product according to the conditions specified by the user.

[1203] Terminal: A purchase completion notification is sent to the user, ensuring that the user can obtain the desired product.

[1204] Auction function

[1205] 1. Enter your bidding information

[1206] Terminal: The user selects the auction item for which they wish to bid from the auction site interface.

[1207] Terminal: User enters maximum bid amount into form.

[1208] 2. Submitting Bid Information

[1209] Terminal: Sends the bid information entered by the user to the server.

[1210] 3. Saving Bid Information

[1211] Server: Stores the received bid information in a database.

[1212] 4. Monitoring the bidding process

[1213] Server: Periodically checks bid information from other users and updates the current highest bid.

[1214] 5. Execute automatic bidding

[1215] Server: When another user makes a new bid, the server automatically bids up to the user's maximum bid.

[1216] Server: For example, if another user bids 80,000 yen, the bid will be 90,000 yen according to internal settings.

[1217] 6. Confirmation of auction end

[1218] Server: Check the database for the auction end time, and proceed with the process when the end time arrives.

[1219] 7. Notification of bidding results

[1220] Server: After the auction ends, the user with the highest bid is determined as the winner and notified.

[1221] Specific examples

[1222] User: A user is interested in a certain antique watch and sets the maximum bid at 100,000 yen.

[1223] Server: Stores users' bidding information and monitors the bidding process.

[1224] Server: If another user bids 80,000 yen, the bid will automatically be set at 90,000 yen according to internal settings.

[1225] Server: If the user ultimately wins the auction with a bid of 100,000 yen, the result is notified.

[1226] Terminal: The user is notified of their auction win and guided through the purchase process.

[1227] Thus, the present invention allows users to utilize automated purchasing and bidding functions to efficiently secure needed products even in busy situations.

[1228] The processing flow will be explained below.

[1229] Product purchase reservation function

[1230] Step 1:

[1231] Device: The user opens a shopping site and selects the product they want to purchase.

[1232] Step 2:

[1233] Terminal: The user inputs purchase reservation information (purchase reservation time, quantity, price conditions, etc.).

[1234] Step 3:

[1235] Terminal: Sends the purchase reservation information entered by the user to the server.

[1236] Step 4:

[1237] Server: Saves the received purchase reservation information in a database.

[1238] Step 5:

[1239] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[1240] Step 6:

[1241] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[1242] Step 7:

[1243] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[1244] Step 8:

[1245] Server: Records the purchase result in a database and sends a result notification (purchase success / failure) to the user.

[1246] Specific examples

[1247] Step 1:

[1248] User: A user opens a site to purchase a new smartphone.

[1249] Step 2:

[1250] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[1251] Step 3:

[1252] Terminal: Sends purchase reservation information to the server.

[1253] Step 4:

[1254] Server: Saves the received purchase reservation information in a database.

[1255] Step 5:

[1256] Server: Set a task to send a reminder one hour before the scheduled time.

[1257] Step 6:

[1258] Server: At midnight, read the information from the database and begin the purchase process.

[1259] Step 7:

[1260] Server: Add the smartphone to the cart via the product purchase API and complete the payment.

[1261] Step 8:

[1262] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1263] Auction function

[1264] Step 1:

[1265] Terminal: The user opens the auction site and selects the item they want to bid on.

[1266] Step 2:

[1267] Terminal: User enters maximum bid amount.

[1268] Step 3:

[1269] Terminal: Sends bidding information to the server.

[1270] Step 4:

[1271] Server: Stores the received bid information in a database.

[1272] Step 5:

[1273] Server: Monitors the bidding status of other users and automatically places a bid up to the maximum bid amount.

[1274] Step 6:

[1275] Server: Check the database for the auction end time and proceed when the end time arrives.

[1276] Step 7:

[1277] Server: Determines the user with the highest bid as the auction winner.

[1278] Step 8:

[1279] Server: Sends notifications to auction winners and guides them through the purchase process.

[1280] Specific examples

[1281] Step 1:

[1282] User: A user visits an auction page for an antique clock.

[1283] Step 2:

[1284] User: Set the maximum bid to 100,000 yen.

[1285] Step 3:

[1286] Terminal: Sends bidding information to the server.

[1287] Step 4:

[1288] Server: Stores the bid information in a database.

[1289] Step 5:

[1290] Server: If another user makes a new bid of 80,000 yen, the bid will automatically be changed to 90,000 yen.

[1291] Step 6:

[1292] Server: When the auction end time arrives, proceed with the process.

[1293] Step 7:

[1294] Server: In the end, there are no bids exceeding 100,000 yen, so the user is determined to be the auction winner.

[1295] Step 8:

[1296] Server: Notifies the user of their auction win and guides them through the purchase process.

[1297] Example 1

[1298] 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."

[1299] In conventional online shopping and auction systems, users must individually complete procedures for pre-ordering and bidding on auctions, which can lead to busy schedules or situations where users are unable to respond immediately at a specific time. This can result in users missing the opportunity to purchase or find the desired product. It is particularly difficult to make a purchase or bid precisely at the reservation time or the end of the auction. Another problem is that users must immediately respond to the status of bids from other users, which is cumbersome and time-consuming.

[1300] 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.

[1301] In this invention, the server includes means for a user to input purchase reservation information, means for transmitting the purchase reservation information to the server, means for saving the purchase reservation information in a database, means for sending a reminder notification when the reservation time approaches, means for automatically purchasing the product when the reservation time arrives, means for notifying the user of the purchase result, means for periodically checking bid information from other users and updating the current highest bid amount, means for automatically bidding up to the user's maximum bid amount, and means for determining and notifying the winner of the auction. This allows users to use the automated process of advance purchases and auctions to reliably purchase and bid on desired products even when they are busy.

[1302] A "user" is a person who uses the system to purchase products or participate in auctions.

[1303] "Purchase reservation information" is data including information on the product that the user wishes to purchase, the purchase reservation time, and the purchase conditions (quantity, price conditions, etc.).

[1304] A "server" is a computer system that receives and processes information sent by users.

[1305] The "database" is an information storage system for storing and managing received purchase reservation information and bidding information.

[1306] "Reminder notification" is a function that sends a notification to the user when the reservation time approaches.

[1307] "Purchase API" is a program interface for adding products to a cart and completing payments.

[1308] "Bidding information" is data including information on the auction item for which the user wishes to bid and the maximum bid amount.

[1309] A "scheduler" is a system that is configured to perform specific operations at specific times.

[1310] A "purchase process" is a series of steps required to purchase a specified product.

[1311] The "auction winner" is the user who submitted the highest bid at the end of the auction.

[1312] The present invention is a method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system includes functions for allowing a user to reserve a product they wish to purchase and automatically purchase it at a specified time, and functions for automatically placing a bid up to the maximum amount in an auction.

[1313] Product purchase reservation function

[1314] Enter purchase reservation information

[1315] The user selects the product he or she wants to purchase through the interface of the online shopping site, and inputs the reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[1316] Send reservation information

[1317] The terminal transmits the purchase reservation information input by the user to the server.

[1318] Save reservation information

[1319] The server stores the received purchase reservation information in a database and manages the database so that the information can be stored appropriately.

[1320] Setting reminders

[1321] The server registers a task in the scheduler to send a reminder notification when the reserved time approaches, so that the user can receive a notification that the reserved time is approaching.

[1322] The reservation time arrives

[1323] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the reservation information from the database, purchases the specified product, adds the product to the cart via the purchase API, and completes the payment.

[1324] Notification of purchase results

[1325] The server will send a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1326] Auction function

[1327] Entering bid information

[1328] Through the auction site interface, users select the auction item they wish to bid on and enter their maximum bid amount into a form.

[1329] Submitting bid information

[1330] The terminal transmits the bid information entered by the user to the server.

[1331] Save bid information

[1332] The server stores the received bid information in a database and manages the database so that the information can be stored appropriately.

[1333] Monitoring the bidding process

[1334] The server periodically checks for bid information from other users and updates the current maximum bid.

[1335] Executing automatic bidding

[1336] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[1337] Confirmation of auction end

[1338] The server checks the database for the auction end time and proceeds with the process when the end time arrives.

[1339] Notification of bidding results

[1340] The server will determine the user who submitted the highest bid as the winner and send a notification.

[1341] Specific actions

[1342] Product purchase reservation function

[1343] User: Schedules an automatic purchase of a new smartphone at midnight and fills out a form on an online shopping site.

[1344] Terminal: Sends the entered reservation information to the server.

[1345] Server: Saves the received reservation information in a database and schedules a task to send a reminder at midnight.

[1346] Server: At midnight, start the process of purchasing a new smartphone based on the reservation information. This is done by adding it to the cart via the purchase API and completing the payment.

[1347] Server: Sends a successful purchase notification to the user, who confirms that the purchase is complete.

[1348] Auction function

[1349] User: Participates in an antique watch auction, setting the maximum bid at 100,000 yen, and enters the information into the form on the auction site.

[1350] Terminal: Sends the entered bid information to the server.

[1351] Server: Stores the received bid information in a database and monitors the bidding status of other users.

[1352] Server: If another user bids 80,000 yen, execute a process to automatically bid 90,000 yen.

[1353] Server: When the auction ends, notify the user with the highest bid as the winner.

[1354] Terminal: Notifies the user of their auction win and guides them through the purchase process.

[1355] Prompt Sentence Examples

[1356] For product purchase reservations: "I would like to automatically reserve a new smartphone at 25:00 on April 20th."

[1357] For an auction: "I would like to participate in an antique watch auction for up to 100,000 yen."

[1358] In this way, the present invention allows users to automatically purchase products or participate in auctions regardless of the reservation time or the auction end time. This system is particularly convenient for busy users, helping them to ensure that they can obtain the products they want.

[1359] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1360] Product purchase reservation function

[1361] Step 1: Enter your purchase reservation information

[1362] A user selects a product he or she wants to purchase through the interface of an online shopping site, and then inputs the reservation time and purchase conditions (quantity, price, etc.) into a form.

[1363] Input: Product information, reservation time, and purchase conditions entered by the user

[1364] Output: Purchase reservation information sent to the device

[1365] Step 2: Submit your reservation information

[1366] The terminal sends the purchase reservation information that the user entered in the form to the server, where it converts the purchase reservation information into an appropriate format and sends it to the server.

[1367] Input: Purchase reservation information entered in the form

[1368] Output: Purchase reservation information sent to the server

[1369] Step 3: Save your reservation

[1370] The server saves the received purchase reservation information in a database. The server adds the reservation information to the database and stores the information securely.

[1371] Input: Purchase reservation information received by the server

[1372] Output: Reservation information stored in the database

[1373] Step 4: Set up reminders

[1374] The server registers a task with the scheduler to send a reminder notification, so that a notification is sent when the specified reservation time approaches.

[1375] Input: Reminder notification setting information based on reservation time

[1376] Output: Notification task registered with the scheduler

[1377] Step 5: Appointment time arrives

[1378] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the relevant reservation information from the database, adds the product to the cart via the purchase API, and completes the payment.

[1379] Input: Notifications from the scheduler, reservation information from the database

[1380] Output: Items added to cart via the Purchase API, completed payments

[1381] Step 6: Notification of purchase results

[1382] The server checks the result of the purchase process and sends a success notification to the user if the purchase was successful, or an error message if the purchase was unsuccessful.

[1383] Input: Purchase process result

[1384] Output: Notification of purchase results sent to the user

[1385] Auction function

[1386] Step 1: Enter your bid information

[1387] Through the auction site interface, a user selects the auction item for which they wish to place a bid and enters a maximum bid amount into a form.

[1388] Input: Auction item information entered by the user, maximum bid amount

[1389] Output: Bid information sent to the terminal

[1390] Step 2: Submit your bid

[1391] The terminal transmits the bid information entered by the user in the form to the server, where it converts the bid information into an appropriate format and transmits it to the server.

[1392] Input: Bid information entered into the form

[1393] Output: Bid information sent to the server

[1394] Step 3: Save your bid

[1395] The server stores the received bid information in a database, and performs an add operation on the bid information in the database to ensure that the information is stored securely.

[1396] Input: Bid information received by the server

[1397] Output: Bid information stored in a database

[1398] Step 4: Monitor the bidding process

[1399] The server periodically checks bid information from other users and updates the current maximum bid amount. The server compares each bid information and processes it to update the maximum bid amount.

[1400] Input: Bid information from other users

[1401] Output: Updated maximum bid

[1402] Step 5: Run automated bidding

[1403] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[1404] Input: New bid information from other users, maximum bid amount

[1405] Output: Automatically placed bid information

[1406] Step 6: Confirm the auction has ended

[1407] The server checks the auction end time in the database and proceeds if the end time is reached. The server compares the end time with the current time and determines the outcome if the end time is reached.

[1408] Input: Auction end time information from the database

[1409] Output: Bidding status at the end of the auction

[1410] Step 7: Notification of bidding results

[1411] The server determines the user who submitted the highest bid as the winner and sends a notification. The server identifies the winner information, generates a notification, and sends it to the user.

[1412] Input: Final auction bid results

[1413] Output: Winner notification sent to user

[1414] This system provides functions that allow users to reliably purchase desired products and succeed in auctions even when they are busy.

[1415] (Application example 1)

[1416] 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."

[1417] With current food delivery services, users often miss their order time, making it difficult to order in a timely manner given their busy daily lives. Furthermore, users are concerned about whether their reserved order will arrive, which reduces convenience. There is a need for technological solutions that can solve this problem and ensure that users receive their food at the time they set.

[1418] 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.

[1419] In this invention, the server includes a means for a user to input food order reservation information, a means for transmitting the food order reservation information to the server, a means for storing the food order reservation information in a database, a means for sending a reminder notification when the reservation time approaches, a means for automatically executing the food order when the reservation time arrives, and a means for notifying the user of the order result, thereby enabling the user to receive the food at the set time.

[1420] "User" means a person who uses the system to purchase and reserve food and merchandise.

[1421] "Purchase reservation information" is detailed information such as information about the food or product that the user wishes to purchase or order, the purchase date and time, quantity, price conditions, etc.

[1422] "Server" means a central processing unit that receives, processes, stores, and manages information sent by users.

[1423] "Database" means a repository of information that stores purchase reservation information and other related information and makes it available for retrieval when needed.

[1424] A "reminder notification" is a notification that notifies the user that the reservation time is approaching.

[1425] "Food ordering" refers to the act of purchasing specified food at a time specified by the user.

[1426] "Order result" is information indicating the success or failure of the food order.

[1427] "Monitoring" refers to the task of watching for the arrival of a reservation time or changes in other conditions.

[1428] The present invention is a system that executes a process in which a user inputs reservation information, automatically orders food based on that information, and notifies the user. A specific method for implementing this system will be described below.

[1429] 1. Enter your purchase reservation information

[1430] Users input the desired food items and order details through a smartphone app or PC interface, including the food items, quantity, reservation time, and other purchase conditions (such as price).

[1431] 2. Sending and storing purchase reservation information

[1432] The terminal sends the entered purchase reservation information to the server, which stores the received information in a database. The database can use a common database management system such as MySQL.

[1433] 3. Send reminders

[1434] The server registers the task in the scheduler to send a reminder notification when the reservation time approaches. The scheduler can be Cron or Task Scheduler. The reminder notification is sent to the user's terminal five minutes before the reservation time.

[1435] 4. Automatic food ordering

[1436] When the reserved time arrives, the server automatically executes the food order. The server starts the food order process according to the purchase conditions stored in the database and orders the specified food. This order can be made using an external food delivery API.

[1437] 5. Notification of order results

[1438] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. This notification can also be sent by email or in-app notification. The user will receive the notification and can pick up the food at the specified time.

[1439] Specific examples

[1440] Consider a user who has set up a specific pizza to be automatically ordered every Friday night at 8pm.

[1441] A user uses the app to schedule an order for a specific pizza at 8pm on Friday night.

[1442] The server stores this configuration information in a database.

[1443] A reminder notification will be sent to users every Friday night at 7:55pm.

[1444] At 8pm, the server automatically processes the pizza order and completes the payment.

[1445] A completion notification will be sent to the user, who can then collect their pizza at the specified time.

[1446] Prompt Sentence Examples

[1447] "Set up a plan to automatically order pizza every Friday night at 8pm. You don't have to worry about anything, we'll order it for you."

[1448] This ensures that users receive their desired food items in a timely manner, even in busy situations.

[1449] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1450] Step 1: Enter your purchase reservation information

[1451] Users input the food they want and the details of their order through a smartphone app or PC interface, including the type of food, quantity, reservation time, and price conditions. The information entered by the user is collected on the device and converted into a data format such as JSON.

[1452] Step 2: Submit your purchase reservation information

[1453] The terminal sends the purchase reservation information entered by the user to the server. Specifically, the terminal sends data to the server using an HTTP POST request. This request includes the information entered by the user.

[1454] Step 3: Save your purchase reservation information

[1455] The server stores the received purchase reservation information in a database using a database management system such as MySQL. The database table contains fields such as the user ID, food type, quantity, and reservation time.

[1456] Step 4: Set up reminders

[1457] The server registers a task in the scheduler to send a reminder notification when the reservation time approaches. Specifically, using a Cron job or Task Scheduler, it is set up so that a reminder notification is sent five minutes before the reservation time. This task is dynamically created based on the reservation information of each user.

[1458] Step 5: Send reminders

[1459] Five minutes before the reservation time, the scheduler is triggered and the server sends a reminder notification to the user's device. The notification is sent as a push notification or email to inform the user that the reservation is approaching, so that the user does not miss the timing of their order.

[1460] Step 6: Automate food ordering

[1461] When the reservation time arrives, the server automatically places the food order. The server references the reservation information stored in the database and places the order using an external food delivery API. This API call sends the order details to the specified restaurant and completes the payment.

[1462] Step 7: Order Result Notification

[1463] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. Notifications are sent as push notifications or emails, allowing the user to immediately check whether the order was successful.

[1464] This allows users to automatically order food and ensure it is received.

[1465] 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.

[1466] The present invention describes a method for implementing a system in which a user inputs purchase order information, transmits the purchase order information to a server, and the server stores the purchase order information in a database, and combines an emotion engine to adjust reminder notifications and automated purchasing processes based on the user's emotional state.

[1467] Combining product purchase reservation functionality with an emotion engine

[1468] 1. Enter your purchase reservation information

[1469] Device: The user opens a shopping site and selects the product they want to purchase.

[1470] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[1471] Terminal: The emotion engine analyzes the user's emotional state in real time.

[1472] 2. Sending reservation information

[1473] Terminal: Sends the purchase reservation information entered by the user to the server.

[1474] 3. Saving reservation information

[1475] Server: Saves the received purchase reservation information in a database.

[1476] 4. Set reminders

[1477] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[1478] 5. The reservation time arrives

[1479] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[1480] Server: The emotion engine reassess the purchase intent and executes the purchase process if appropriate.

[1481] 6. Executing Automatic Purchases

[1482] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[1483] 7. Notification of purchase results

[1484] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1485] Specific examples

[1486] User: A user opens a site to purchase a new smartphone.

[1487] Terminal: The user enters a purchase reservation time of midnight, quantity 1, and price of 50,000 yen or less, and the information is sent to the server.

[1488] On the device: The emotion engine analyzes the user's current emotional state and adjusts the reminder notification time if stress levels are high.

[1489] Server: The emotion engine may wait until the user's stress level decreases before sending a reminder notification.

[1490] Server: At midnight, the emotion engine checks the user's purchase intent again and automatically purchases the product if appropriate.

[1491] Server: The server notifies the user of the purchase result.

[1492] Combining auction functionality with an emotion engine

[1493] 1. Enter your bidding information

[1494] Terminal: The user opens the auction site and selects the item they want to bid on.

[1495] Terminal: User enters maximum bid amount.

[1496] Terminal: The emotion engine analyzes the user's emotional state in real time.

[1497] 2. Submitting Bid Information

[1498] Terminal: Sends the bid information entered by the user to the server.

[1499] 3. Saving Bid Information

[1500] Server: Stores the received bid information in a database.

[1501] 4. Monitoring the bidding process

[1502] Server: Periodically checks the status of bids from other users and automatically places a bid up to the maximum amount.

[1503] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[1504] 5. Execute automatic bidding

[1505] Server: When other users make new bids, they make bids up to the user's maximum bid.

[1506] Server: The emotion engine adjusts the frequency and timing of automated bidding based on the user's emotional state.

[1507] 6. Confirmation of auction end

[1508] Server: Checks the auction end time and determines the winner when the time comes.

[1509] 7. Notification of bidding results

[1510] Server: After the auction ends, the user with the highest bid is notified as the winner.

[1511] Specific examples

[1512] User: A user visits an auction page for an antique clock.

[1513] Device: The maximum bid is set to 100,000 yen, and the emotion engine analyzes the user's current emotional state.

[1514] Server: When a reminder notification is sent, the emotion engine reassess the user's stress and purchase intent and adjusts the content and timing of the notification.

[1515] Server: If the user ultimately wins the auction, they are notified of the result and guided through the purchase process.

[1516] In this way, by combining emotion engines, it is possible to create a system that provides more appropriate notifications and automatic purchasing / bidding based on the user's emotions.

[1517] The processing flow will be explained below.

[1518] Combining product purchase reservation functionality with an emotion engine

[1519] Step 1:

[1520] Device: The user opens a shopping site and selects the product they want to purchase.

[1521] Step 2:

[1522] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[1523] Step 3:

[1524] Terminal: The emotion engine analyzes the user's emotional state in real time based on facial recognition, voice analysis, input data, etc.

[1525] Step 4:

[1526] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[1527] Step 5:

[1528] Server: Stores the received purchase reservation information and emotion data in a database.

[1529] Step 6:

[1530] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[1531] Step 7:

[1532] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[1533] Step 8:

[1534] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[1535] Step 9:

[1536] Server: The emotion engine reassess the purchase intent and, if appropriate, adds the product to the cart via the product purchase API and processes the payment.

[1537] Step 10:

[1538] Server: Records the purchase results in a database and sends a success or error message to the user.

[1539] Specific examples

[1540] Step 1:

[1541] User: A user opens a shopping site to purchase a new smartphone.

[1542] Step 2:

[1543] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[1544] Step 3:

[1545] Device: The emotion engine analyzes the user's facial expressions and recognizes high stress levels.

[1546] Step 4:

[1547] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[1548] Step 5:

[1549] Server: Stores the received purchase reservation information and emotion data in a database.

[1550] Step 6:

[1551] Server: Set a task to send a reminder one hour before the scheduled time.

[1552] Step 7:

[1553] Server: The emotion engine monitors the user's stress level and sends a reminder notification when the user reaches a low stress state.

[1554] Step 8:

[1555] Server: At midnight, read the information from the database and begin the purchase process.

[1556] Step 9:

[1557] Server: The emotion engine checks the user's intention to purchase again, and if appropriate, adds the smartphone to the cart via the product purchase API and processes the payment.

[1558] Step 10:

[1559] Server: Sends a success notification if the purchase is successful, or an error message if the purchase is unsuccessful.

[1560] Combining auction functionality with an emotion engine

[1561] Step 1:

[1562] Terminal: The user opens the auction site and selects the item they want to bid on.

[1563] Step 2:

[1564] Terminal: User enters maximum bid amount.

[1565] Step 3:

[1566] Terminal: The emotion engine analyzes the user's emotional state in real time based on their tone of voice and input data.

[1567] Step 4:

[1568] Terminal: Sends the bid information entered by the user and the emotion data analyzed by the emotion engine to the server.

[1569] Step 5:

[1570] Server: Stores the received bid information and sentiment data in a database.

[1571] Step 6:

[1572] Server: Periodically checks the status of bids from other users and automatically places a bid up to the user's maximum bid.

[1573] Step 7:

[1574] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[1575] Step 8:

[1576] Server: Checks the database for the auction end time, and determines the winner when the time comes.

[1577] Step 9:

[1578] Server: Determines the user with the highest bid as the auction winner.

[1579] Step 10:

[1580] Server: After the auction ends, the winner is notified and guided through the purchasing process.

[1581] Specific examples

[1582] Step 1:

[1583] User: A user visits an auction page for an antique clock.

[1584] Step 2:

[1585] User: Set the maximum bid to 100,000 yen.

[1586] Step 3:

[1587] Device: The emotion engine analyzes the user's tone of voice and typing speed to recognize a high level of intent to purchase.

[1588] Step 4:

[1589] Terminal: Sends bidding information and emotion data to the server.

[1590] Step 5:

[1591] Server: Stores bidding information and sentiment data in a database.

[1592] Step 6:

[1593] Server: If another user bids 80,000 yen, automatically bid 90,000 yen.

[1594] Step 7:

[1595] Server: The emotion engine monitors the user's stress level and adjusts the frequency and timing of bids as needed.

[1596] Step 8:

[1597] Server: Checks the auction end time, and when the time comes, determines the user with the highest bid as the winner.

[1598] Step 9:

[1599] Server: Notify the customer as the auction winner and guide them through the purchase process.

[1600] Example 2

[1601] 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."

[1602] In modern online shopping and auctions, users often feel stressed because they have to pay a lot of attention to make purchases and bids efficiently. Furthermore, the timing and content of reminder notifications are fixed and cannot be adjusted according to the user's emotional state, which can reduce the success rate of purchases and bids. This results in inconvenience for users and reduces their willingness to purchase and participate.

[1603] 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.

[1604] In this invention, the server includes a means for a user to input purchase reservation information, a means for transmitting the purchase reservation information to the server, a means for storing the purchase reservation information in a database, a means including a device for analyzing emotional states in real time, a means for sending a reminder notification based on the emotional state when the reservation time approaches, a means for automatically purchasing the product when the reservation time arrives, and a means for notifying the user of the purchase result. This enables reminders and an automatic purchasing process according to the user's emotional state, reducing stress for the user and improving convenience and the success rate of purchases and bids.

[1605] "Purchase reservation information" is information about the product that the user wants to purchase, specifically information including the purchase time, quantity, price conditions, and the like.

[1606] A "server" is a computer that transmits and receives data to and from users and other terminals via a network and executes various processes.

[1607] A "database" is a system for systematically storing and managing data, and in the present invention is used to store purchase reservation information and bidding information.

[1608] An "emotion engine" is software or hardware that analyzes a user's emotional state in real time.

[1609] A "reminder notification" is a notification sent to a user when the reservation time approaches, and is a message urging the user to prepare for purchase or bidding.

[1610] A "product purchase API" is an application programming interface used to purchase products in conjunction with external services or systems.

[1611] The "maximum bid" is a value indicating the maximum amount that a user is willing to pay for an auction item.

[1612] "Automatic purchase" refers to the process in which the system automatically purchases a product when the reserved time arrives, based on the conditions set by the user.

[1613] "Autobidding" is the process by which the system automatically places bids on behalf of a user in an auction based on the user's settings.

[1614] "Bid timing" refers to the specific time or timing at which a user or system places a bid in an auction.

[1615] The system of the present invention is based on a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system incorporates an emotion engine and includes a function to adjust reminder notifications and automatic purchasing processes based on the user's emotional state.

[1616] First, a user opens a shopping site using a device (e.g., smartphone, PC, etc.). The user selects the product they want to purchase and enters purchase reservation information such as the purchase reservation time, quantity, and price conditions. The device temporarily stores this information and uses an emotion engine (e.g., Google Cloud Natural Language API, Python NLP library, etc.) to analyze the user's emotional state in real time.

[1617] The device then sends the purchase reservation information to the server, which receives it via a REST API and stores it in a database such as MySQL.

[1618] As the reservation time approaches, the server uses an emotion engine to analyze the user's stress level and purchase intention. Based on the analysis results, the content and timing of the reminder notification can be adjusted. For example, the timing of sending the reminder can be delayed depending on the user's stress level.

[1619] When the reserved time arrives, the server uses a Cron job or similar to read the purchase reservation information from the database and begin the purchase process. The emotion engine analyzes the user's emotions again, and if the user is highly motivated to purchase, the specified product is added to the cart via a product purchase API (e.g., Amazon's API) and payment is processed. If the payment process is successful, the server updates the information in the database.

[1620] Finally, the server notifies the user of the purchase outcome using a notification system such as Firebase Cloud Messaging: if the purchase was successful, it sends a success notification to the user, and if it was unsuccessful, it sends an error message to the user.

[1621] As a concrete example, suppose a user opens a shopping site to purchase a new smartphone. The user sets the reservation time for the purchase at midnight, enters one quantity, and enters a price of less than 50,000 yen. This information is sent to the server, and the emotion engine analyzes the user's current emotional state. If stress is high, the time of the reminder notification is adjusted. When the reservation time arrives, the emotion engine checks the user's willingness to purchase again, and if appropriate, automatically purchases the product. The server notifies the user of the purchase result.

[1622] An example prompt might look like this:

[1623] "I want to reserve a new smartphone. The reservation time should be midnight, the quantity should be 1, and the price should be less than 50,000 yen. I also want to receive appropriate reminders based on my current emotional state, and automatically complete the purchase if necessary."

[1624] In this way, the present invention can improve user convenience and increase the success rate of purchases and bids by adjusting notifications and automatic purchasing processes based on the user's emotional state.

[1625] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1626] Step 1:

[1627] A user opens a shopping site and selects the product they want to purchase.

[1628] Specifically, a user launches a browser or shopping app on a device (such as a smartphone or PC) and displays the page of the product they wish to purchase. The data entered here is the product's identification information (product ID).

[1629] Step 2:

[1630] The user inputs purchase reservation information (purchase reservation time, quantity, price conditions).

[1631] The terminal temporarily stores the purchase reservation information and calls the emotion engine to analyze the user's emotional state in real time. The input data here are the purchase reservation time, quantity, price conditions, and text information (for emotion analysis) entered by the user.

[1632] Specifically, it sends text information to an emotion engine (e.g., Google Cloud Natural Language API) and obtains data that quantifies stress and purchase intent.

[1633] Step 3:

[1634] The terminal transmits purchase reservation information to the server.

[1635] The input is the purchase reservation information and sentiment analysis data obtained in step 2. The device uses the REST API to send this data to the server via a POST request. The output is the data received by the server.

[1636] Step 4:

[1637] The server stores the received purchase reservation information in a database.

[1638] Specifically, the server connects to a database such as MySQL and executes an SQL INSERT statement to save the purchase order information to a table. The input here is the purchase order information and related sentiment analysis data, and the output is the success / failure status of saving to the database.

[1639] Step 5:

[1640] As the reservation time approaches, the server uses the emotion engine to reanalyze the user's stress level and purchasing intent.

[1641] The input is purchase reservation information obtained from the database and periodically collected emotion data. The server sends an analysis request to the emotion engine based on this information. The output is the analysis results: stress level and purchase intent.

[1642] Step 6:

[1643] The server adjusts the content and timing of reminder notifications based on the emotional state.

[1644] The input is the sentiment analysis data obtained in step 5 and the user's notification settings. The server determines the timing and content of the notification based on this, and sends the reminder notification using Firebase Cloud Messaging or similar. The output is the notification sending result.

[1645] Step 7:

[1646] When the reserved time arrives, the server reads the purchase reservation information from the database and starts the purchase process.

[1647] The input is purchase reservation information retrieved from the database. The server uses this information to analyze the user's emotional state again using the emotion engine. The output is the analysis results and an instruction to execute the purchase process.

[1648] Step 8:

[1649] The server adds the specified product to the cart via the product purchase API and processes the payment.

[1650] The input is purchase reservation information and sentiment analysis data. The server uses an external API such as the Amazon API to add products to the cart and process the payment. The output is the success / failure status of the payment process.

[1651] Step 9:

[1652] The server notifies the user of the purchase result.

[1653] The input is the result of the payment process. The server uses a notification system such as Firebase Cloud Messaging to notify the user of the purchase result. The specific operation here is to send a message saying "Purchase successful" if successful, or "Purchase failed" if unsuccessful. The output is the notification sent.

[1654] Through these steps, the system can complete the purchasing process at the optimal time and in the optimal way according to the user's emotional state.

[1655] (Application example 2)

[1656] 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."

[1657] Conventional purchase reservation systems and auction systems often send reminder notifications and automatically purchase and bid based on a fixed schedule without considering the user's emotional state. This can lead to notifications and purchases being made at inappropriate times when the user is stressed or unmotivated, resulting in a poor user experience. The present invention aims to solve this problem by providing a purchase reservation and auction system that can flexibly respond to the user's emotional state.

[1658] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the content and timing of the reminder notification based on the emotional state, and means for sending the reminder notification when the reservation time approaches. This makes it possible to send reminder notifications and automatic purchases / bids at appropriate times depending on the user's emotional state.

[1659] "User" refers to an individual or organization that uses the system to make a purchase reservation or bid.

[1660] "Purchase reservation information" is a collection of information about the product that the user wants to purchase and its conditions (quantity, price conditions, reservation time, etc.).

[1661] The "server" is an information processing device that receives and processes purchase reservation information and bidding information.

[1662] A "database" is an information storage device for storing purchase reservation information and bidding information.

[1663] "Emotional state" refers to the user's state of mind, and includes factors such as sudden emotions, stress level, and purchasing intent.

[1664] A "reminder notification" is a notification that notifies the user of the timing of purchase or bid.

[1665] "Automatic purchasing" refers to the process of automatically purchasing products based on pre-set conditions.

[1666] "Autobidding" refers to the process of automatically placing bids on auction items based on pre-set conditions.

[1667] A "maximum bid" is the maximum amount a user is willing to pay in an auction.

[1668] "Purchase result" is information indicating whether the purchase of the product was successful or unsuccessful.

[1669] The "auction winner" is the user who offers the highest bid at the end of the auction.

[1670] "Stress level" is a numerical representation of the degree of tension or anxiety felt by the user.

[1671] "Purchase intent" indicates the degree to which the user wants to purchase the product.

[1672] The present invention relates to a system in which a user inputs purchase reservation information, which is then sent to a server and stored. It also incorporates an emotion engine to add functions for adjusting reminder notifications and automatic purchasing processes based on the user's emotional state. Detailed embodiments for implementing the present invention are described below.

[1673] 1. System Overview

[1674] This system is implemented as a smartphone application. Users input purchase reservation information using their smartphones, and the information is sent to a server. The server stores the received information in a database. The system works in conjunction with an emotion engine that analyzes the user's emotional state in real time.

[1675] 2. Hardware and Software

[1676] Terminal (smartphone): Used by users to enter purchase reservation information.

[1677] Server: Receives and processes purchase reservation information. Also, works with the emotion engine to analyze the user's emotional state.

[1678] Database: Stores purchase reservation information.

[1679] Emotion Engine API: An API for analyzing a user's emotional state in real time (e.g., Emotion Engine API).

[1680] Notification system: Send reminder notifications to users.

[1681] 3. Data Handling

[1682] When a user enters purchase reservation information, the information is first sent from the device (smartphone) to the server. The server stores the received information in a database. The server then calls the emotion engine API to analyze the user's emotional state in real time and adjusts the content and timing of reminder notifications based on that analysis.

[1683] 4. Automated Purchasing Process

[1684] As the reservation time approaches, the server reevaluates the user's emotional state and sends reminder notifications based on their stress level and purchase intent. When the reservation time arrives, the server automatically purchases the item and notifies the user of the results. This allows the purchase to be made at the optimal time when the user is most motivated to buy.

[1685] Specific examples

[1686] For example, suppose a user wants to purchase a new smartwatch. The user opens a smartphone app and enters the following information as a pre-order:

[1687] Appointment time: tomorrow night at 8pm

[1688] Maximum price: 30,000 yen

[1689] The system sends this information to the server for storage, and then uses an emotion engine API to analyze the user's emotional state and optimize the timing of reminders.

[1690] Prompt Sentence Examples

[1691] "You are a purchasing assistant. Based on the following user information and purchasing conditions, please analyze the user's emotional state and perform reminder notifications and automatic purchases at the optimal time.

[1692] User ID: 78910

[1693] Product ID: 55555

[1694] Appointment time: tomorrow night at 8pm

[1695] Maximum price: 30,000 yen

[1696] In this way, the present invention enables flexible reminder notifications and automatic purchases according to the user's emotional state, greatly improving the user experience.

[1697] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1698] Step 1:

[1699] The user enters purchase reservation information. Using a device (smartphone), the user enters information about the product they wish to purchase (product ID, reservation time, maximum price, etc.). This information is stored on the device.

[1700] Input: Product ID, reservation time, maximum price

[1701] Output: Purchase reservation information

[1702] Step 2:

[1703] The device sends the purchase reservation information to the server. The device collects the information entered by the user and sends it to the server's API endpoint.

[1704] Input: Purchase reservation information

[1705] Output: Request to server

[1706] Step 3:

[1707] The server stores the purchase reservation information in a database. The transmitted purchase reservation information is received by the server and stored in a database.

[1708] Input: Purchase reservation information

[1709] Output: Save results to database

[1710] Step 4:

[1711] The server analyzes the user's emotional state using the emotion engine API. The server sends the user's ID to the emotion engine API and receives the analysis result of the emotional state.

[1712] Input: User ID

[1713] Output: Emotional state data (stress level, purchase intent, etc.)

[1714] Step 5:

[1715] The server adjusts the content and timing of reminder notifications based on the user's emotional state. By analyzing the emotional state data, the server determines the timing and content of reminder notifications based on the user's stress level and purchase intent.

[1716] Input: Emotional state data

[1717] Output: Reminder notification timing and content

[1718] Step 6:

[1719] The server sends a reminder notification. When the time comes for the reminder to be sent, the server sends the reminder to the user through the notification system.

[1720] Input: Reminder timing and content

[1721] Output: Reminder notification

[1722] Step 7:

[1723] When the reservation time arrives, the server evaluates the user's emotional state again. As the reservation time approaches, the server calls the emotion engine API again to obtain new emotional state data.

[1724] Input: User ID

[1725] Output: New emotional state data

[1726] Step 8:

[1727] The server decides to execute an automatic purchase based on the emotional state. If the customer has a high desire to purchase based on the re-evaluated emotional state data, the server automatically starts the purchase process.

[1728] Input: New emotional state data

[1729] Output: Decision to execute automatic purchase

[1730] Step 9:

[1731] The server performs automatic purchases through the product purchase API. If automatic purchases are decided, the server calls the shopping site's API, adds the specified products to the cart, and processes the payment.

[1732] Input: Purchase decision data (product ID, price, etc.)

[1733] Output: Purchase result (success / failure)

[1734] Step 10:

[1735] The server notifies the user of the purchase result. If the purchase is successful, it sends a success notification to the user, and if it is unsuccessful, it sends an error message to the user.

[1736] Input: Purchase result

[1737] Output: User notification (success / failure)

[1738] 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.

[1739] 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.

[1740] 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.

[1741] [Fourth embodiment]

[1742] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1743] 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.

[1744] 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).

[1745] 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.

[1746] 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.

[1747] 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).

[1748] 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.

[1749] 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.

[1750] 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.

[1751] 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.

[1752] 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.

[1753] 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.

[1754] 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."

[1755] This invention describes a specific method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. In addition, a reminder notification is sent when the reservation time approaches, and the product is automatically purchased at the reserved time, so that the user does not miss the purchase opportunity.

[1756] Product purchase reservation function

[1757] 1. Enter your purchase reservation information

[1758] Terminal: The user selects the product they want to purchase from the interface of the online shopping site.

[1759] Terminal: The user enters the purchase reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[1760] 2. Sending reservation information

[1761] Terminal: Sends the purchase reservation information entered by the user to the server.

[1762] 3. Saving reservation information

[1763] Server: Saves the received purchase reservation information in a database.

[1764] 4. Set reminders

[1765] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[1766] 5. The reservation time arrives

[1767] Server: When the reserved time arrives, the purchase process begins.

[1768] Server: Purchases the specified product according to the purchase conditions stored in the database.

[1769] Server: Add the product to the cart via the purchase API and complete the payment.

[1770] 6. Notification of purchase results

[1771] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1772] Specific examples

[1773] User: A user is busy and doesn't have time to buy a new smartphone, so they schedule it to be purchased automatically at midnight.

[1774] Server: Saves the set purchase reservation information and schedules processing at the specified time.

[1775] Server: Starts the smartphone purchase process at midnight and purchases the product according to the conditions specified by the user.

[1776] Terminal: A purchase completion notification is sent to the user, ensuring that the user can obtain the desired product.

[1777] Auction function

[1778] 1. Enter your bidding information

[1779] Terminal: The user selects the auction item for which they wish to bid from the auction site interface.

[1780] Terminal: User enters maximum bid amount into form.

[1781] 2. Submitting Bid Information

[1782] Terminal: Sends the bid information entered by the user to the server.

[1783] 3. Saving Bid Information

[1784] Server: Stores the received bid information in a database.

[1785] 4. Monitoring the bidding process

[1786] Server: Periodically checks bid information from other users and updates the current highest bid.

[1787] 5. Execute automatic bidding

[1788] Server: When another user makes a new bid, the server automatically bids up to the user's maximum bid.

[1789] Server: For example, if another user bids 80,000 yen, the bid will be 90,000 yen according to internal settings.

[1790] 6. Confirmation of auction end

[1791] Server: Check the database for the auction end time, and proceed with the process when the end time arrives.

[1792] 7. Notification of bidding results

[1793] Server: After the auction ends, the user with the highest bid is determined as the winner and notified.

[1794] Specific examples

[1795] User: A user is interested in a certain antique watch and sets the maximum bid at 100,000 yen.

[1796] Server: Stores users' bidding information and monitors the bidding process.

[1797] Server: If another user bids 80,000 yen, the bid will automatically be set at 90,000 yen according to internal settings.

[1798] Server: If the user ultimately wins the auction with a bid of 100,000 yen, the result is notified.

[1799] Terminal: The user is notified of their auction win and guided through the purchase process.

[1800] Thus, the present invention allows users to utilize automated purchasing and bidding functions to efficiently secure needed products even in busy situations.

[1801] The processing flow will be explained below.

[1802] Product purchase reservation function

[1803] Step 1:

[1804] Device: The user opens a shopping site and selects the product they want to purchase.

[1805] Step 2:

[1806] Terminal: The user inputs purchase reservation information (purchase reservation time, quantity, price conditions, etc.).

[1807] Step 3:

[1808] Terminal: Sends the purchase reservation information entered by the user to the server.

[1809] Step 4:

[1810] Server: Saves the received purchase reservation information in a database.

[1811] Step 5:

[1812] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[1813] Step 6:

[1814] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[1815] Step 7:

[1816] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[1817] Step 8:

[1818] Server: Records the purchase result in a database and sends a result notification (purchase success / failure) to the user.

[1819] Specific examples

[1820] Step 1:

[1821] User: A user opens a site to purchase a new smartphone.

[1822] Step 2:

[1823] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[1824] Step 3:

[1825] Terminal: Sends purchase reservation information to the server.

[1826] Step 4:

[1827] Server: Saves the received purchase reservation information in a database.

[1828] Step 5:

[1829] Server: Set a task to send a reminder one hour before the scheduled time.

[1830] Step 6:

[1831] Server: At midnight, read the information from the database and begin the purchase process.

[1832] Step 7:

[1833] Server: Add the smartphone to the cart via the product purchase API and complete the payment.

[1834] Step 8:

[1835] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1836] Auction function

[1837] Step 1:

[1838] Terminal: The user opens the auction site and selects the item they want to bid on.

[1839] Step 2:

[1840] Terminal: User enters maximum bid amount.

[1841] Step 3:

[1842] Terminal: Sends bidding information to the server.

[1843] Step 4:

[1844] Server: Stores the received bid information in a database.

[1845] Step 5:

[1846] Server: Monitors the bidding status of other users and automatically places a bid up to the maximum bid amount.

[1847] Step 6:

[1848] Server: Check the database for the auction end time and proceed when the end time arrives.

[1849] Step 7:

[1850] Server: Determines the user with the highest bid as the auction winner.

[1851] Step 8:

[1852] Server: Sends notifications to auction winners and guides them through the purchase process.

[1853] Specific examples

[1854] Step 1:

[1855] User: A user visits an auction page for an antique clock.

[1856] Step 2:

[1857] User: Set the maximum bid to 100,000 yen.

[1858] Step 3:

[1859] Terminal: Sends bidding information to the server.

[1860] Step 4:

[1861] Server: Stores the bid information in a database.

[1862] Step 5:

[1863] Server: If another user makes a new bid of 80,000 yen, the bid will automatically be changed to 90,000 yen.

[1864] Step 6:

[1865] Server: When the auction end time arrives, proceed with the process.

[1866] Step 7:

[1867] Server: In the end, there are no bids exceeding 100,000 yen, so the user is determined to be the auction winner.

[1868] Step 8:

[1869] Server: Notifies the user of their auction win and guides them through the purchase process.

[1870] Example 1

[1871] 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."

[1872] In conventional online shopping and auction systems, users must individually complete procedures for pre-ordering and bidding on auctions, which can lead to busy schedules or situations where users are unable to respond immediately at a specific time. This can result in users missing the opportunity to purchase or find the desired product. It is particularly difficult to make a purchase or bid precisely at the reservation time or the end of the auction. Another problem is that users must immediately respond to the status of bids from other users, which is cumbersome and time-consuming.

[1873] 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.

[1874] In this invention, the server includes means for a user to input purchase reservation information, means for transmitting the purchase reservation information to the server, means for saving the purchase reservation information in a database, means for sending a reminder notification when the reservation time approaches, means for automatically purchasing the product when the reservation time arrives, means for notifying the user of the purchase result, means for periodically checking bid information from other users and updating the current highest bid amount, means for automatically bidding up to the user's maximum bid amount, and means for determining and notifying the winner of the auction. This allows users to use the automated process of advance purchases and auctions to reliably purchase and bid on desired products even when they are busy.

[1875] A "user" is a person who uses the system to purchase products or participate in auctions.

[1876] "Purchase reservation information" is data including information on the product that the user wishes to purchase, the purchase reservation time, and the purchase conditions (quantity, price conditions, etc.).

[1877] A "server" is a computer system that receives and processes information sent by users.

[1878] The "database" is an information storage system for storing and managing received purchase reservation information and bidding information.

[1879] "Reminder notification" is a function that sends a notification to the user when the reservation time approaches.

[1880] "Purchase API" is a program interface for adding products to a cart and completing payments.

[1881] "Bidding information" is data including information on the auction item for which the user wishes to bid and the maximum bid amount.

[1882] A "scheduler" is a system that is configured to perform specific operations at specific times.

[1883] A "purchase process" is a series of steps required to purchase a specified product.

[1884] The "auction winner" is the user who submitted the highest bid at the end of the auction.

[1885] The present invention is a method for implementing a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system includes functions for allowing a user to reserve a product they wish to purchase and automatically purchase it at a specified time, and functions for automatically placing a bid up to the maximum amount in an auction.

[1886] Product purchase reservation function

[1887] Enter purchase reservation information

[1888] The user selects the product he or she wants to purchase through the interface of the online shopping site, and inputs the reservation time and purchase conditions (quantity, price conditions, etc.) into a form.

[1889] Send reservation information

[1890] The terminal transmits the purchase reservation information input by the user to the server.

[1891] Save reservation information

[1892] The server stores the received purchase reservation information in a database and manages the database so that the information can be stored appropriately.

[1893] Setting reminders

[1894] The server registers a task in the scheduler to send a reminder notification when the reserved time approaches, so that the user can receive a notification that the reserved time is approaching.

[1895] The reservation time arrives

[1896] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the reservation information from the database, purchases the specified product, adds the product to the cart via the purchase API, and completes the payment.

[1897] Notification of purchase results

[1898] The server will send a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[1899] Auction function

[1900] Entering bid information

[1901] Through the auction site interface, users select the auction item they wish to bid on and enter their maximum bid amount into a form.

[1902] Submitting bid information

[1903] The terminal transmits the bid information entered by the user to the server.

[1904] Save bid information

[1905] The server stores the received bid information in a database and manages the database so that the information can be stored appropriately.

[1906] Monitoring the bidding process

[1907] The server periodically checks for bid information from other users and updates the current maximum bid.

[1908] Executing automatic bidding

[1909] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[1910] Confirmation of auction end

[1911] The server checks the database for the auction end time and proceeds with the process when the end time arrives.

[1912] Notification of bidding results

[1913] The server will determine the user who submitted the highest bid as the winner and send a notification.

[1914] Specific actions

[1915] Product purchase reservation function

[1916] User: Schedules an automatic purchase of a new smartphone at midnight and fills out a form on an online shopping site.

[1917] Terminal: Sends the entered reservation information to the server.

[1918] Server: Saves the received reservation information in a database and schedules a task to send a reminder at midnight.

[1919] Server: At midnight, start the process of purchasing a new smartphone based on the reservation information. This is done by adding it to the cart via the purchase API and completing the payment.

[1920] Server: Sends a successful purchase notification to the user, who confirms that the purchase is complete.

[1921] Auction function

[1922] User: Participates in an antique watch auction, setting the maximum bid at 100,000 yen, and enters the information into the form on the auction site.

[1923] Terminal: Sends the entered bid information to the server.

[1924] Server: Stores the received bid information in a database and monitors the bidding status of other users.

[1925] Server: If another user bids 80,000 yen, execute a process to automatically bid 90,000 yen.

[1926] Server: When the auction ends, notify the user with the highest bid as the winner.

[1927] Terminal: Notifies the user of their auction win and guides them through the purchase process.

[1928] Prompt Sentence Examples

[1929] For product purchase reservations: "I would like to automatically reserve a new smartphone at 25:00 on April 20th."

[1930] For an auction: "I would like to participate in an antique watch auction for up to 100,000 yen."

[1931] In this way, the present invention allows users to automatically purchase products or participate in auctions regardless of the reservation time or the auction end time. This system is particularly convenient for busy users, helping them to ensure that they can obtain the products they want.

[1932] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1933] Product purchase reservation function

[1934] Step 1: Enter your purchase reservation information

[1935] A user selects a product he or she wants to purchase through the interface of an online shopping site, and then inputs the reservation time and purchase conditions (quantity, price, etc.) into a form.

[1936] Input: Product information, reservation time, and purchase conditions entered by the user

[1937] Output: Purchase reservation information sent to the device

[1938] Step 2: Submit your reservation information

[1939] The terminal sends the purchase reservation information that the user entered in the form to the server, where it converts the purchase reservation information into an appropriate format and sends it to the server.

[1940] Input: Purchase reservation information entered in the form

[1941] Output: Purchase reservation information sent to the server

[1942] Step 3: Save your reservation

[1943] The server saves the received purchase reservation information in a database. The server adds the reservation information to the database and stores the information securely.

[1944] Input: Purchase reservation information received by the server

[1945] Output: Reservation information stored in the database

[1946] Step 4: Set up reminders

[1947] The server registers a task with the scheduler to send a reminder notification, so that a notification is sent when the specified reservation time approaches.

[1948] Input: Reminder notification setting information based on reservation time

[1949] Output: Notification task registered with the scheduler

[1950] Step 5: Appointment time arrives

[1951] When the reservation time arrives, the server receives a notification from the scheduler and starts the purchase process. The server retrieves the relevant reservation information from the database, adds the product to the cart via the purchase API, and completes the payment.

[1952] Input: Notifications from the scheduler, reservation information from the database

[1953] Output: Items added to cart via the Purchase API, completed payments

[1954] Step 6: Notification of purchase results

[1955] The server checks the result of the purchase process and sends a success notification to the user if the purchase was successful, or an error message if the purchase was unsuccessful.

[1956] Input: Purchase process result

[1957] Output: Notification of purchase results sent to the user

[1958] Auction function

[1959] Step 1: Enter your bid information

[1960] Through the auction site interface, a user selects the auction item for which they wish to place a bid and enters a maximum bid amount into a form.

[1961] Input: Auction item information entered by the user, maximum bid amount

[1962] Output: Bid information sent to the terminal

[1963] Step 2: Submit your bid

[1964] The terminal transmits the bid information entered by the user in the form to the server, where it converts the bid information into an appropriate format and transmits it to the server.

[1965] Input: Bid information entered into the form

[1966] Output: Bid information sent to the server

[1967] Step 3: Save your bid

[1968] The server stores the received bid information in a database, and performs an add operation on the bid information in the database to ensure that the information is stored securely.

[1969] Input: Bid information received by the server

[1970] Output: Bid information stored in a database

[1971] Step 4: Monitor the bidding process

[1972] The server periodically checks bid information from other users and updates the current maximum bid amount. The server compares each bid information and processes it to update the maximum bid amount.

[1973] Input: Bid information from other users

[1974] Output: Updated maximum bid

[1975] Step 5: Run automated bidding

[1976] When another user makes a new bid, the server automatically bids up to the user's maximum bid. For example, if another user bids 80,000 yen, the server automatically bids 90,000 yen.

[1977] Input: New bid information from other users, maximum bid amount

[1978] Output: Automatically placed bid information

[1979] Step 6: Confirm the auction has ended

[1980] The server checks the auction end time in the database and proceeds if the end time is reached. The server compares the end time with the current time and determines the outcome if the end time is reached.

[1981] Input: Auction end time information from the database

[1982] Output: Bidding status at the end of the auction

[1983] Step 7: Notification of bidding results

[1984] The server determines the user who submitted the highest bid as the winner and sends a notification. The server identifies the winner information, generates a notification, and sends it to the user.

[1985] Input: Final auction bid results

[1986] Output: Winner notification sent to user

[1987] This system provides functions that allow users to reliably purchase desired products and succeed in auctions even when they are busy.

[1988] (Application example 1)

[1989] 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."

[1990] With current food delivery services, users often miss their order time, making it difficult to order in a timely manner given their busy daily lives. Furthermore, users are concerned about whether their reserved order will arrive, which reduces convenience. There is a need for technological solutions that can solve this problem and ensure that users receive their food at the time they set.

[1991] 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.

[1992] In this invention, the server includes a means for a user to input food order reservation information, a means for transmitting the food order reservation information to the server, a means for storing the food order reservation information in a database, a means for sending a reminder notification when the reservation time approaches, a means for automatically executing the food order when the reservation time arrives, and a means for notifying the user of the order result, thereby enabling the user to receive the food at the set time.

[1993] "User" means a person who uses the system to purchase and reserve food and merchandise.

[1994] "Purchase reservation information" is detailed information such as information about the food or product that the user wishes to purchase or order, the purchase date and time, quantity, price conditions, etc.

[1995] "Server" means a central processing unit that receives, processes, stores, and manages information sent by users.

[1996] "Database" means a repository of information that stores purchase reservation information and other related information and makes it available for retrieval when needed.

[1997] A "reminder notification" is a notification that notifies the user that the reservation time is approaching.

[1998] "Food ordering" refers to the act of purchasing specified food at a time specified by the user.

[1999] "Order result" is information indicating the success or failure of the food order.

[2000] "Monitoring" refers to the task of watching for the arrival of a reservation time or changes in other conditions.

[2001] The present invention is a system that executes a process in which a user inputs reservation information, automatically orders food based on that information, and notifies the user. A specific method for implementing this system will be described below.

[2002] 1. Enter your purchase reservation information

[2003] Users input the desired food items and order details through a smartphone app or PC interface, including the food items, quantity, reservation time, and other purchase conditions (such as price).

[2004] 2. Sending and storing purchase reservation information

[2005] The terminal sends the entered purchase reservation information to the server, which stores the received information in a database. The database can use a common database management system such as MySQL.

[2006] 3. Send reminders

[2007] The server registers the task in the scheduler to send a reminder notification when the reservation time approaches. The scheduler can be Cron or Task Scheduler. The reminder notification is sent to the user's terminal five minutes before the reservation time.

[2008] 4. Automatic food ordering

[2009] When the reserved time arrives, the server automatically executes the food order. The server starts the food order process according to the purchase conditions stored in the database and orders the specified food. This order can be made using an external food delivery API.

[2010] 5. Notification of order results

[2011] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. This notification can also be sent by email or in-app notification. The user will receive the notification and can pick up the food at the specified time.

[2012] Specific examples

[2013] Consider a user who has set up a specific pizza to be automatically ordered every Friday night at 8pm.

[2014] A user uses the app to schedule an order for a specific pizza at 8pm on Friday night.

[2015] The server stores this configuration information in a database.

[2016] A reminder notification will be sent to users every Friday night at 7:55pm.

[2017] At 8pm, the server automatically processes the pizza order and completes the payment.

[2018] A completion notification will be sent to the user, who can then collect their pizza at the specified time.

[2019] Prompt Sentence Examples

[2020] "Set up a plan to automatically order pizza every Friday night at 8pm. You don't have to worry about anything, we'll order it for you."

[2021] This ensures that users receive their desired food items in a timely manner, even in busy situations.

[2022] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2023] Step 1: Enter your purchase reservation information

[2024] Users input the food they want and the details of their order through a smartphone app or PC interface, including the type of food, quantity, reservation time, and price conditions. The information entered by the user is collected on the device and converted into a data format such as JSON.

[2025] Step 2: Submit your purchase reservation information

[2026] The terminal sends the purchase reservation information entered by the user to the server. Specifically, the terminal sends data to the server using an HTTP POST request. This request includes the information entered by the user.

[2027] Step 3: Save your purchase reservation information

[2028] The server stores the received purchase reservation information in a database using a database management system such as MySQL. The database table contains fields such as the user ID, food type, quantity, and reservation time.

[2029] Step 4: Set up reminders

[2030] The server registers a task in the scheduler to send a reminder notification when the reservation time approaches. Specifically, using a Cron job or Task Scheduler, it is set up so that a reminder notification is sent five minutes before the reservation time. This task is dynamically created based on the reservation information of each user.

[2031] Step 5: Send reminders

[2032] Five minutes before the reservation time, the scheduler is triggered and the server sends a reminder notification to the user's device. The notification is sent as a push notification or email to inform the user that the reservation is approaching, so that the user does not miss the timing of their order.

[2033] Step 6: Automate food ordering

[2034] When the reservation time arrives, the server automatically places the food order. The server references the reservation information stored in the database and places the order using an external food delivery API. This API call sends the order details to the specified restaurant and completes the payment.

[2035] Step 7: Order Result Notification

[2036] The server will send a success notification to the user if the order is successful, or an error message if the order is unsuccessful. Notifications are sent as push notifications or emails, allowing the user to immediately check whether the order was successful.

[2037] This allows users to automatically order food and ensure it is received.

[2038] 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.

[2039] The present invention describes a method for implementing a system in which a user inputs purchase order information, transmits the purchase order information to a server, and the server stores the purchase order information in a database, and combines an emotion engine to adjust reminder notifications and automated purchasing processes based on the user's emotional state.

[2040] Combining product purchase reservation functionality with an emotion engine

[2041] 1. Enter your purchase reservation information

[2042] Device: The user opens a shopping site and selects the product they want to purchase.

[2043] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[2044] Terminal: The emotion engine analyzes the user's emotional state in real time.

[2045] 2. Sending reservation information

[2046] Terminal: Sends the purchase reservation information entered by the user to the server.

[2047] 3. Saving reservation information

[2048] Server: Saves the received purchase reservation information in a database.

[2049] 4. Set reminders

[2050] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[2051] 5. The reservation time arrives

[2052] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[2053] Server: The emotion engine reassess the purchase intent and executes the purchase process if appropriate.

[2054] 6. Executing Automatic Purchases

[2055] Server: Adds the specified product to the cart via the product purchase API and processes the payment.

[2056] 7. Notification of purchase results

[2057] Server: Sends a success notification to the user if the purchase is successful, or an error message if the purchase is unsuccessful.

[2058] Specific examples

[2059] User: A user opens a site to purchase a new smartphone.

[2060] Terminal: The user enters a purchase reservation time of midnight, quantity 1, and price of 50,000 yen or less, and the information is sent to the server.

[2061] On the device: The emotion engine analyzes the user's current emotional state and adjusts the reminder notification time if stress levels are high.

[2062] Server: The emotion engine may wait until the user's stress level decreases before sending a reminder notification.

[2063] Server: At midnight, the emotion engine checks the user's purchase intent again and automatically purchases the product if appropriate.

[2064] Server: The server notifies the user of the purchase result.

[2065] Combining auction functionality with an emotion engine

[2066] 1. Enter your bidding information

[2067] Terminal: The user opens the auction site and selects the item they want to bid on.

[2068] Terminal: User enters maximum bid amount.

[2069] Terminal: The emotion engine analyzes the user's emotional state in real time.

[2070] 2. Submitting Bid Information

[2071] Terminal: Sends the bid information entered by the user to the server.

[2072] 3. Saving Bid Information

[2073] Server: Stores the received bid information in a database.

[2074] 4. Monitoring the bidding process

[2075] Server: Periodically checks the status of bids from other users and automatically places a bid up to the maximum amount.

[2076] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[2077] 5. Execute automatic bidding

[2078] Server: When other users make new bids, they make bids up to the user's maximum bid.

[2079] Server: The emotion engine adjusts the frequency and timing of automated bidding based on the user's emotional state.

[2080] 6. Confirmation of auction end

[2081] Server: Checks the auction end time and determines the winner when the time comes.

[2082] 7. Notification of bidding results

[2083] Server: After the auction ends, the user with the highest bid is notified as the winner.

[2084] Specific examples

[2085] User: A user visits an auction page for an antique clock.

[2086] Device: The maximum bid is set to 100,000 yen, and the emotion engine analyzes the user's current emotional state.

[2087] Server: When a reminder notification is sent, the emotion engine reassess the user's stress and purchase intent and adjusts the content and timing of the notification.

[2088] Server: If the user ultimately wins the auction, they are notified of the result and guided through the purchase process.

[2089] In this way, by combining emotion engines, it is possible to create a system that provides more appropriate notifications and automatic purchasing / bidding based on the user's emotions.

[2090] The processing flow will be explained below.

[2091] Combining product purchase reservation functionality with an emotion engine

[2092] Step 1:

[2093] Device: The user opens a shopping site and selects the product they want to purchase.

[2094] Step 2:

[2095] Terminal: The user inputs the purchase reservation time and purchase conditions (quantity, price conditions, etc.).

[2096] Step 3:

[2097] Terminal: The emotion engine analyzes the user's emotional state in real time based on facial recognition, voice analysis, input data, etc.

[2098] Step 4:

[2099] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[2100] Step 5:

[2101] Server: Stores the received purchase reservation information and emotion data in a database.

[2102] Step 6:

[2103] Server: Register a task in the scheduler to send a reminder notification when the scheduled time approaches.

[2104] Step 7:

[2105] Server: The emotion engine analyzes the user's stress level and purchase intent, and adjusts the content and timing of reminder notifications accordingly.

[2106] Step 8:

[2107] Server: When the reservation time arrives, the purchase reservation information is read from the database and the purchase process begins.

[2108] Step 9:

[2109] Server: The emotion engine reassess the purchase intent and, if appropriate, adds the product to the cart via the product purchase API and processes the payment.

[2110] Step 10:

[2111] Server: Records the purchase results in a database and sends a success or error message to the user.

[2112] Specific examples

[2113] Step 1:

[2114] User: A user opens a shopping site to purchase a new smartphone.

[2115] Step 2:

[2116] User: Enters a purchase reservation time of midnight, quantity 1, and price of less than 50,000 yen.

[2117] Step 3:

[2118] Device: The emotion engine analyzes the user's facial expressions and recognizes high stress levels.

[2119] Step 4:

[2120] Terminal: Sends the purchase reservation information entered by the user and the emotional data analyzed by the emotion engine to the server.

[2121] Step 5:

[2122] Server: Stores the received purchase reservation information and emotion data in a database.

[2123] Step 6:

[2124] Server: Set a task to send a reminder one hour before the scheduled time.

[2125] Step 7:

[2126] Server: The emotion engine monitors the user's stress level and sends a reminder notification when the user reaches a low stress state.

[2127] Step 8:

[2128] Server: At midnight, read the information from the database and begin the purchase process.

[2129] Step 9:

[2130] Server: The emotion engine checks the user's intention to purchase again, and if appropriate, adds the smartphone to the cart via the product purchase API and processes the payment.

[2131] Step 10:

[2132] Server: Sends a success notification if the purchase is successful, or an error message if the purchase is unsuccessful.

[2133] Combining auction functionality with an emotion engine

[2134] Step 1:

[2135] Terminal: The user opens the auction site and selects the item they want to bid on.

[2136] Step 2:

[2137] Terminal: User enters maximum bid amount.

[2138] Step 3:

[2139] Terminal: The emotion engine analyzes the user's emotional state in real time based on their tone of voice and input data.

[2140] Step 4:

[2141] Terminal: Sends the bid information entered by the user and the emotion data analyzed by the emotion engine to the server.

[2142] Step 5:

[2143] Server: Stores the received bid information and sentiment data in a database.

[2144] Step 6:

[2145] Server: Periodically checks the status of bids from other users and automatically places a bid up to the user's maximum bid.

[2146] Step 7:

[2147] Server: The emotion engine monitors users' stress levels and purchasing intent and adjusts the timing of bids.

[2148] Step 8:

[2149] Server: Checks the database for the auction end time, and determines the winner when the time comes.

[2150] Step 9:

[2151] Server: Determines the user with the highest bid as the auction winner.

[2152] Step 10:

[2153] Server: After the auction ends, the winner is notified and guided through the purchasing process.

[2154] Specific examples

[2155] Step 1:

[2156] User: A user visits an auction page for an antique clock.

[2157] Step 2:

[2158] User: Set the maximum bid to 100,000 yen.

[2159] Step 3:

[2160] Device: The emotion engine analyzes the user's tone of voice and typing speed to recognize a high level of intent to purchase.

[2161] Step 4:

[2162] Terminal: Sends bidding information and emotion data to the server.

[2163] Step 5:

[2164] Server: Stores bidding information and sentiment data in a database.

[2165] Step 6:

[2166] Server: If another user bids 80,000 yen, automatically bid 90,000 yen.

[2167] Step 7:

[2168] Server: The emotion engine monitors the user's stress level and adjusts the frequency and timing of bids as needed.

[2169] Step 8:

[2170] Server: Checks the auction end time, and when the time comes, determines the user with the highest bid as the winner.

[2171] Step 9:

[2172] Server: Notify the customer as the auction winner and guide them through the purchase process.

[2173] Example 2

[2174] 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."

[2175] In modern online shopping and auctions, users often feel stressed because they have to pay a lot of attention to make purchases and bids efficiently. Furthermore, the timing and content of reminder notifications are fixed and cannot be adjusted according to the user's emotional state, which can reduce the success rate of purchases and bids. This results in inconvenience for users and reduces their willingness to purchase and participate.

[2176] 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.

[2177] In this invention, the server includes a means for a user to input purchase reservation information, a means for transmitting the purchase reservation information to the server, a means for storing the purchase reservation information in a database, a means including a device for analyzing emotional states in real time, a means for sending a reminder notification based on the emotional state when the reservation time approaches, a means for automatically purchasing the product when the reservation time arrives, and a means for notifying the user of the purchase result. This enables reminders and an automatic purchasing process according to the user's emotional state, reducing stress for the user and improving convenience and the success rate of purchases and bids.

[2178] "Purchase reservation information" is information about the product that the user wants to purchase, specifically information including the purchase time, quantity, price conditions, and the like.

[2179] A "server" is a computer that transmits and receives data to and from users and other terminals via a network and executes various processes.

[2180] A "database" is a system for systematically storing and managing data, and in the present invention is used to store purchase reservation information and bidding information.

[2181] An "emotion engine" is software or hardware that analyzes a user's emotional state in real time.

[2182] A "reminder notification" is a notification sent to a user when the reservation time approaches, and is a message urging the user to prepare for purchase or bidding.

[2183] A "product purchase API" is an application programming interface used to purchase products in conjunction with external services or systems.

[2184] The "maximum bid" is a value indicating the maximum amount that a user is willing to pay for an auction item.

[2185] "Automatic purchase" refers to the process in which the system automatically purchases a product when the reserved time arrives, based on the conditions set by the user.

[2186] "Autobidding" is the process by which the system automatically places bids on behalf of a user in an auction based on the user's settings.

[2187] "Bid timing" refers to the specific time or timing at which a user or system places a bid in an auction.

[2188] The system of the present invention is based on a system in which a user inputs purchase reservation information, transmits the purchase reservation information to a server, and the server stores the purchase reservation information in a database. This system incorporates an emotion engine and includes a function to adjust reminder notifications and automatic purchasing processes based on the user's emotional state.

[2189] First, a user opens a shopping site using a device (e.g., smartphone, PC, etc.). The user selects the product they want to purchase and enters purchase reservation information such as the purchase reservation time, quantity, and price conditions. The device temporarily stores this information and uses an emotion engine (e.g., Google Cloud Natural Language API, Python NLP library, etc.) to analyze the user's emotional state in real time.

[2190] The device then sends the purchase reservation information to the server, which receives it via a REST API and stores it in a database such as MySQL.

[2191] As the reservation time approaches, the server uses an emotion engine to analyze the user's stress level and purchase intention. Based on the analysis results, the content and timing of the reminder notification can be adjusted. For example, the timing of sending the reminder can be delayed depending on the user's stress level.

[2192] When the reserved time arrives, the server uses a Cron job or similar to read the purchase reservation information from the database and begin the purchase process. The emotion engine analyzes the user's emotions again, and if the user is highly motivated to purchase, the specified product is added to the cart via a product purchase API (e.g., Amazon's API) and payment is processed. If the payment process is successful, the server updates the information in the database.

[2193] Finally, the server notifies the user of the purchase outcome using a notification system such as Firebase Cloud Messaging: if the purchase was successful, it sends a success notification to the user, and if it was unsuccessful, it sends an error message to the user.

[2194] As a concrete example, suppose a user opens a shopping site to purchase a new smartphone. The user sets the reservation time for the purchase at midnight, enters one quantity, and enters a price of less than 50,000 yen. This information is sent to the server, and the emotion engine analyzes the user's current emotional state. If stress is high, the time of the reminder notification is adjusted. When the reservation time arrives, the emotion engine checks the user's willingness to purchase again, and if appropriate, automatically purchases the product. The server notifies the user of the purchase result.

[2195] An example prompt might look like this:

[2196] "I want to reserve a new smartphone. The reservation time should be midnight, the quantity should be 1, and the price should be less than 50,000 yen. I also want to receive appropriate reminders based on my current emotional state, and automatically complete the purchase if necessary."

[2197] In this way, the present invention can improve user convenience and increase the success rate of purchases and bids by adjusting notifications and automatic purchasing processes based on the user's emotional state.

[2198] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2199] Step 1:

[2200] A user opens a shopping site and selects the product they want to purchase.

[2201] Specifically, a user launches a browser or shopping app on a device (such as a smartphone or PC) and displays the page of the product they wish to purchase. The data entered here is the product's identification information (product ID).

[2202] Step 2:

[2203] The user inputs purchase reservation information (purchase reservation time, quantity, price conditions).

[2204] The terminal temporarily stores the purchase reservation information and calls the emotion engine to analyze the user's emotional state in real time. The input data here are the purchase reservation time, quantity, price conditions, and text information (for emotion analysis) entered by the user.

[2205] Specifically, it sends text information to an emotion engine (e.g., Google Cloud Natural Language API) and obtains data that quantifies stress and purchase intent.

[2206] Step 3:

[2207] The terminal transmits purchase reservation information to the server.

[2208] The input is the purchase reservation information and sentiment analysis data obtained in step 2. The device uses the REST API to send this data to the server via a POST request. The output is the data received by the server.

[2209] Step 4:

[2210] The server stores the received purchase reservation information in a database.

[2211] Specifically, the server connects to a database such as MySQL and executes an SQL INSERT statement to save the purchase order information to a table. The input here is the purchase order information and related sentiment analysis data, and the output is the success / failure status of saving to the database.

[2212] Step 5:

[2213] As the reservation time approaches, the server uses the emotion engine to reanalyze the user's stress level and purchasing intent.

[2214] The input is purchase reservation information obtained from the database and periodically collected emotion data. The server sends an analysis request to the emotion engine based on this information. The output is the analysis results: stress level and purchase intent.

[2215] Step 6:

[2216] The server adjusts the content and timing of reminder notifications based on the emotional state.

[2217] The input is the sentiment analysis data obtained in step 5 and the user's notification settings. The server determines the timing and content of the notification based on this, and sends the reminder notification using Firebase Cloud Messaging or similar. The output is the notification sending result.

[2218] Step 7:

[2219] When the reserved time arrives, the server reads the purchase reservation information from the database and starts the purchase process.

[2220] The input is purchase reservation information retrieved from the database. The server uses this information to analyze the user's emotional state again using the emotion engine. The output is the analysis results and an instruction to execute the purchase process.

[2221] Step 8:

[2222] The server adds the specified product to the cart via the product purchase API and processes the payment.

[2223] The input is purchase reservation information and sentiment analysis data. The server uses an external API such as the Amazon API to add products to the cart and process the payment. The output is the success / failure status of the payment process.

[2224] Step 9:

[2225] The server notifies the user of the purchase result.

[2226] The input is the result of the payment process. The server uses a notification system such as Firebase Cloud Messaging to notify the user of the purchase result. The specific operation here is to send a message saying "Purchase successful" if successful, or "Purchase failed" if unsuccessful. The output is the notification sent.

[2227] Through these steps, the system can complete the purchasing process at the optimal time and in the optimal way according to the user's emotional state.

[2228] (Application example 2)

[2229] 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."

[2230] Conventional purchase reservation systems and auction systems often send reminder notifications and automatically purchase and bid based on a fixed schedule without considering the user's emotional state. This can lead to notifications and purchases being made at inappropriate times when the user is stressed or unmotivated, resulting in a poor user experience. The present invention aims to solve this problem by providing a purchase reservation and auction system that can flexibly respond to the user's emotional state.

[2231] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state in real time, means for adjusting the content and timing of the reminder notification based on the emotional state, and means for sending the reminder notification when the reservation time approaches. This makes it possible to send reminder notifications and automatic purchases / bids at appropriate times depending on the user's emotional state.

[2232] "User" refers to an individual or organization that uses the system to make a purchase reservation or bid.

[2233] "Purchase reservation information" is a collection of information about the product that the user wants to purchase and its conditions (quantity, price conditions, reservation time, etc.).

[2234] The "server" is an information processing device that receives and processes purchase reservation information and bidding information.

[2235] A "database" is an information storage device for storing purchase reservation information and bidding information.

[2236] "Emotional state" refers to the user's state of mind, and includes factors such as sudden emotions, stress level, and purchasing intent.

[2237] A "reminder notification" is a notification that notifies the user of the timing of purchase or bid.

[2238] "Automatic purchasing" refers to the process of automatically purchasing products based on pre-set conditions.

[2239] "Autobidding" refers to the process of automatically placing bids on auction items based on pre-set conditions.

[2240] A "maximum bid" is the maximum amount a user is willing to pay in an auction.

[2241] "Purchase result" is information indicating whether the purchase of the product was successful or unsuccessful.

[2242] The "auction winner" is the user who offers the highest bid at the end of the auction.

[2243] "Stress level" is a numerical representation of the degree of tension or anxiety felt by the user.

[2244] "Purchase intent" indicates the degree to which the user wants to purchase the product.

[2245] The present invention relates to a system in which a user inputs purchase reservation information, which is then sent to a server and stored. It also incorporates an emotion engine to add functions for adjusting reminder notifications and automatic purchasing processes based on the user's emotional state. Detailed embodiments for implementing the present invention are described below.

[2246] 1. System Overview

[2247] This system is implemented as a smartphone application. Users input purchase reservation information using their smartphones, and the information is sent to a server. The server stores the received information in a database. The system works in conjunction with an emotion engine that analyzes the user's emotional state in real time.

[2248] 2. Hardware and Software

[2249] Terminal (smartphone): Used by users to enter purchase reservation information.

[2250] Server: Receives and processes purchase reservation information. Also, works with the emotion engine to analyze the user's emotional state.

[2251] Database: Stores purchase reservation information.

[2252] Emotion Engine API: An API for analyzing a user's emotional state in real time (e.g., Emotion Engine API).

[2253] Notification system: Send reminder notifications to users.

[2254] 3. Data Handling

[2255] When a user enters purchase reservation information, the information is first sent from the device (smartphone) to the server. The server stores the received information in a database. The server then calls the emotion engine API to analyze the user's emotional state in real time and adjusts the content and timing of reminder notifications based on that analysis.

[2256] 4. Automated Purchasing Process

[2257] As the reservation time approaches, the server reevaluates the user's emotional state and sends reminder notifications based on their stress level and purchase intent. When the reservation time arrives, the server automatically purchases the item and notifies the user of the results. This allows the purchase to be made at the optimal time when the user is most motivated to buy.

[2258] Specific examples

[2259] For example, suppose a user wants to purchase a new smartwatch. The user opens a smartphone app and enters the following information as a pre-order:

[2260] Appointment time: tomorrow night at 8pm

[2261] Maximum price: 30,000 yen

[2262] The system sends this information to the server for storage, and then uses an emotion engine API to analyze the user's emotional state and optimize the timing of reminders.

[2263] Prompt Sentence Examples

[2264] "You are a purchasing assistant. Based on the following user information and purchasing conditions, please analyze the user's emotional state and perform reminder notifications and automatic purchases at the optimal time.

[2265] User ID: 78910

[2266] Product ID: 55555

[2267] Appointment time: tomorrow night at 8pm

[2268] Maximum price: 30,000 yen

[2269] In this way, the present invention enables flexible reminder notifications and automatic purchases according to the user's emotional state, greatly improving the user experience.

[2270] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2271] Step 1:

[2272] The user enters purchase reservation information. Using a device (smartphone), the user enters information about the product they wish to purchase (product ID, reservation time, maximum price, etc.). This information is stored on the device.

[2273] Input: Product ID, reservation time, maximum price

[2274] Output: Purchase reservation information

[2275] Step 2:

[2276] The device sends the purchase reservation information to the server. The device collects the information entered by the user and sends it to the server's API endpoint.

[2277] Input: Purchase reservation information

[2278] Output: Request to server

[2279] Step 3:

[2280] The server stores the purchase reservation information in a database. The transmitted purchase reservation information is received by the server and stored in a database.

[2281] Input: Purchase reservation information

[2282] Output: Save results to database

[2283] Step 4:

[2284] The server analyzes the user's emotional state using the emotion engine API. The server sends the user's ID to the emotion engine API and receives the analysis result of the emotional state.

[2285] Input: User ID

[2286] Output: Emotional state data (stress level, purchase intent, etc.)

[2287] Step 5:

[2288] The server adjusts the content and timing of reminder notifications based on the user's emotional state. By analyzing the emotional state data, the server determines the timing and content of reminder notifications based on the user's stress level and purchase intent.

[2289] Input: Emotional state data

[2290] Output: Reminder notification timing and content

[2291] Step 6:

[2292] The server sends a reminder notification. When the time comes for the reminder to be sent, the server sends the reminder to the user through the notification system.

[2293] Input: Reminder timing and content

[2294] Output: Reminder notification

[2295] Step 7:

[2296] When the reservation time arrives, the server evaluates the user's emotional state again. As the reservation time approaches, the server calls the emotion engine API again to obtain new emotional state data.

[2297] Input: User ID

[2298] Output: New emotional state data

[2299] Step 8:

[2300] The server decides to execute an automatic purchase based on the emotional state. If the customer has a high desire to purchase based on the re-evaluated emotional state data, the server automatically starts the purchase process.

[2301] Input: New emotional state data

[2302] Output: Decision to execute automatic purchase

[2303] Step 9:

[2304] The server performs automatic purchases through the product purchase API. If automatic purchases are decided, the server calls the shopping site's API, adds the specified products to the cart, and processes the payment.

[2305] Input: Purchase decision data (product ID, price, etc.)

[2306] Output: Purchase result (success / failure)

[2307] Step 10:

[2308] The server notifies the user of the purchase result. If the purchase is successful, it sends a success notification to the user, and if it is unsuccessful, it sends an error message to the user.

[2309] Input: Purchase result

[2310] Output: User notification (success / failure)

[2311] 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.

[2312] 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.

[2313] 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.

[2314] 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.

[2315] 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.

[2316] 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.

[2317] 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).

[2318] 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.

[2319] 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."

[2320] 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.

[2321] 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).

[2322] 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.

[2323] 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.

[2324] 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.

[2325] 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.

[2326] 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.

[2327] 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.

[2328] 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.

[2329] 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.

[2330] 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.

[2331] 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.

[2332] The following is further disclosed regarding the above embodiment.

[2333] (Claim 1)

[2334] A means for a user to input purchase reservation information;

[2335] means for transmitting the purchase reservation information to a server;

[2336] means for storing the purchase reservation information in a database;

[2337] A way to send reminder notifications when the appointment time approaches,

[2338] A way to automatically purchase the product when the reserved time arrives,

[2339] means for notifying the user of the purchase result;

[2340] A system including:

[2341] (Claim 2)

[2342] a means for a user to set a maximum bid for an auction item;

[2343] means for transmitting the bidding information to a server;

[2344] means for storing the bidding information in a database;

[2345] A means for monitoring the status of bids from other users;

[2346] means for automatically placing bids up to the user's maximum bid amount;

[2347] a means for determining and notifying the winner of the auction;

[2348] A system including:

[2349] (Claim 3)

[2350] 10. The system of claim 1, further comprising means for monitoring the arrival of a reservation time and automatically initiating a product purchasing process.

[2351] "Example 1"

[2352] (Claim 1)

[2353] A means for a user to input purchase reservation information;

[2354] means for transmitting the purchase reservation information to a server;

[2355] means for storing the purchase reservation information in a database;

[2356] A way to send reminder notifications when the appointment time approaches,

[2357] A way to automatically purchase the product when the reserved time arrives,

[2358] means for notifying the user of the purchase result;

[2359] A means of periodically checking bids from other users and updating the current highest bid amount;

[2360] means for automatically placing bids up to the user's maximum bid amount;

[2361] a means for determining and notifying the winner of the auction;

[2362] A system including:

[2363] (Claim 2)

[2364] 10. The system of claim 1, further comprising means for monitoring the arrival of a reservation time and automatically initiating a product purchasing process.

[2365] (Claim 3)

[2366] 10. The system of claim 1, further comprising means for monitoring bids from other users.

[2367] "Application Example 1"

[2368] (Claim 1)

[2369] A means for a user to input purchase reservation information;

[2370] means for transmitting the purchase reservation information to a server;

[2371] means for storing the purchase reservation information in a database;

[2372] A way to send reminder notifications when the appointment time approaches,

[2373] means for automatically executing the food order when the reserved time arrives;

[2374] A means for notifying the user of the order result;

[2375] A system including:

[2376] (Claim 2)

[2377] 10. The system of claim 1, wherein the means for sending a reminder notification comprises a function for sending a notification to the user five minutes before a food order is due.

[2378] (Claim 3)

[2379] 10. The system of claim 1, further comprising means for monitoring the arrival of a reservation time and automatically initiating a food ordering process.

[2380] "Example 2: Combining Emotion Engines"

[2381] (Claim 1)

[2382] A means for a user to input purchase reservation information;

[2383] means for transmitting the purchase reservation information to a server;

[2384] means for storing the purchase reservation information in a database;

[2385] means including a device for analyzing emotional states in real time;

[2386] means for sending reminder notifications based on the emotional state when the appointment time approaches;

[2387] A way to automatically purchase the product when the reserved time arrives,

[2388] means for notifying the user of the purchase result;

[2389] A system including:

[2390] (Claim 2)

[2391] a means for a user to set a maximum bid for an auction item;

[2392] means for transmitting the bidding information to a server;

[2393] means for storing the bidding information in a database;

[2394] A means for monitoring the status of bids from other users;

[2395] a means for automatically adjusting the timing and content of bids based on emotional state;

[2396] means for automatically placing bids up to the user's maximum bid amount;

[2397] a means for determining and notifying the winner of the auction;

[2398] A system including:

[2399] (Claim 3)

[2400] 10. The system of claim 1, further comprising means for monitoring the arrival of a reservation time and automatically initiating a product purchasing process.

[2401] "Application example 2 when combining emotion engines"

[2402] Rewritten claims to reflect the new invention

[2403] (Claim 1)

[2404] A means for a user to input purchase reservation information;

[2405] means for transmitting the purchase reservation information to a server;

[2406] means for storing the purchase reservation information in a database;

[2407] means for analyzing the user's emotional state in real time;

[2408] A means to tailor the content and timing of reminders based on emotional state;

[2409] A way to send reminder notifications when the appointment time approaches,

[2410] A way to automatically purchase the product when the reserved time arrives,

[2411] means for notifying the user of the purchase result;

[2412] A system including:

[2413] (Claim 2)

[2414] a means for a user to set a maximum bid for an auction item;

[2415] means for transmitting the bidding information to a server;

[2416] means for storing the bidding information in a database;

[2417] A means for monitoring the status of bids from other users;

[2418] means for analyzing the user's emotional state in real time;

[2419] a means for adjusting the timing of automated bids based on emotional state;

[2420] means for automatically placing bids up to the user's maximum bid amount;

[2421] a means for determining and notifying the winner of the auction;

[2422] A system including:

[2423] (Claim 3)

[2424] 10. The system of claim 1, further comprising means for monitoring the arrival of an appointment time, reassessing the emotional state, and automatically initiating the product purchasing process. [Explanation of symbols]

[2425] 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 a user to input purchase reservation information; means for transmitting the purchase reservation information to a server; means for storing the purchase reservation information in a database; A way to send reminder notifications when the appointment time approaches, A way to automatically purchase the product when the reserved time arrives, means for notifying the user of the purchase result; A system including:

2. a means for a user to set a maximum bid for an auction item; means for transmitting the bidding information to a server; means for storing the bidding information in a database; A means for monitoring the status of bids from other users; means for automatically placing bids up to the user's maximum bid amount; a means for determining and notifying the winner of the auction; A system including:

3. 2. The system of claim 1, further comprising means for monitoring the arrival of a reservation time and automatically initiating a product purchasing process.

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