system

Abstract

Provide a system. [Solution] A means for a user to select terminal information that the user wishes to purchase; means for transmitting selected terminal information to a server; A means for acquiring a user's purchase history and contract status; A means for searching multiple discount measures and evaluating and determining the most suitable discount based on the user's situation; and means for providing the evaluated and determined discount information to a user.

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] Conventional device purchasing systems have the problem that users must manually check multiple pieces of information to confirm which discount measures are applicable. This is time-consuming for users, which ultimately discourages them from purchasing. Furthermore, businesses are unable to appropriately propose applicable discount measures, which results in insufficient improvement in the success rate. There is a need for a system that can improve this situation and allow users to easily find the most suitable discount information. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides a system that includes a means for a user to select device information they wish to purchase, a means for transmitting the selected device information to a server, a means for acquiring the user's purchase history and contract status, a means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's situation, and a means for providing the evaluated and determined discount information to the user. This system allows users to check applicable discounts at a glance without any manual effort, helping them make purchasing decisions. It also enables businesses to propose specific discounts, which is expected to improve the success rate.

[0006] A "user" is an entity that uses the system to purchase a terminal.

[0007] A "terminal" is an electronic device that a user wishes to purchase.

[0008] A "server" is a computer system that receives and processes information sent from a user's terminal.

[0009] "Purchase history" is a record of devices and services that a user has purchased in the past.

[0010] "Contract status" is information about the contract plan to which the user is currently subscribed and its details.

[0011] A "discount policy" is a price reduction policy that is applied to users who meet certain conditions.

[0012] "Searching" is the process of finding relevant information in databases or records.

[0013] "Evaluation and decision" is the process of selecting and finalizing the optimal discount measure based on the user's situation.

[0014] "Provision" refers to the act of notifying the user of discount information evaluated and determined by the server. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] In order to put this invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with each other. The operation of this system will now be explained in natural language.

[0037] First, when a user attempts to purchase a device through an online store, they select the device they want (for example, a smartphone or tablet). The device then sends information about the device selected by the user to the server. Specifically, the information sent includes the model name, price, user ID, etc. of the selected device.

[0038] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information. The purchase history includes records of devices and services the user has previously purchased, and the contract status includes the user's current contract plan and details.

[0039] The server then searches for multiple discounts based on the acquired information. For example, there are discounts for new buyers (10% off) and discounts for long-term contract holders (5% off). This search is performed by referencing the information in the database.

[0040] After the discount offers are retrieved, the server evaluates and determines the best discount based on the user's situation, which may include a combination of 10% off and 5% off for users who are both new buyers and long-term subscribers.

[0041] The server generates the evaluated and determined discount information and provides it to the user's device. For example, it may contain detailed information such as "total discount amount 15%, new purchase discount 10%, long-term contract discount 5%."

[0042] Finally, the terminal displays the offered discount information to the user, who can then review the information and choose whether to finalize the purchase. If the user wishes to proceed with the purchase, they can click the "Confirm Purchase" button.

[0043] As a specific example, consider the case where a new purchaser with a contract term of three years or more is purchasing an iPhone (registered trademark) 13 Pro. In this case, the server searches for, evaluates, and decides on a 10% discount for new purchasers and a 5% discount for long-term contract holders. It then generates discount information that applies a total discount of 15%, sends it to the device, and displays it to the user. The user confirms the information and proceeds with the purchase procedure at the discounted price.

[0044] In this way, users can easily check applicable discounts, and businesses can improve their closing rates.

[0045] The processing flow will be explained below.

[0046] Step 1:

[0047] A user accesses an online store and selects the device they wish to purchase. Device options include model, color variations, storage capacity, etc.

[0048] Step 2:

[0049] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[0050] Step 3:

[0051] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[0052] Step 4:

[0053] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0054] Step 5:

[0055] The server evaluates applicable discount policies based on the user's purchase history and contract status. For example, if the user is a new purchaser and has a long-term contract, it determines whether each discount policy is applicable.

[0056] Step 6:

[0057] The server determines and generates the optimal discount information based on the evaluation. For example, it generates the optimal discount information by combining a "10% discount for new buyers" and a "5% discount for long-term contract customers" to achieve a total discount of 15%.

[0058] Step 7:

[0059] The server sends the generated discount information to the terminal, including details of each discount applied (such as the discount rate and conditions), the total discount amount, and the new payment amount.

[0060] Step 8:

[0061] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the discounts applied, and the new payment amount.

[0062] Step 9:

[0063] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[0064] Through the above steps, the system allows users to easily check the discount information that applies to them and purchase a device under the most optimal conditions.

[0065] Example 1

[0066] 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."

[0067] In current online stores, it is difficult for users to quickly and accurately grasp applicable discount information. In particular, there is a lack of a way to optimally combine multiple discounts based on a user's purchase history and contract status, which reduces user convenience. In addition, businesses have limited means to improve conversion rates by offering appropriate discounts.

[0068] 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.

[0069] In this invention, the server includes means for a user to select information on an information processing device they wish to purchase, means for transmitting the selected information on the information processing device to a network device, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal cost reduction based on the user's situation, and means for providing the evaluated and determined cost reduction information to the user. This allows users to check applicable discounts without any effort, and enables businesses to improve their closing rates.

[0070] An "information processing device" is an electronic device that a user wishes to purchase, and includes, for example, a smartphone, a tablet, a laptop computer, and the like.

[0071] A "network device" is a communication device that connects a user's terminal with a server and has the function of sending and receiving data via the Internet.

[0072] "Purchase history" is a record of products and services purchased by a user in the past, and includes detailed information such as date, item, and price.

[0073] "Contract status" refers to details of the service plan and contract contents to which the user is currently subscribed, and includes information such as the contract start date, contract period, and service contents.

[0074] "Discount measures" are cost reduction measures that can be applied to users, and include specific discount rules such as discounts for new purchasers and discounts for long-term contract holders.

[0075] "Cost reduction" is a means of reducing the amount a user pays, and is achieved through discounts and special offers.

[0076] "Evaluation and Decision" refers to the process in which the server selects the most suitable discount based on the user's situation and determines the best discount information available to the user.

[0077] In order to put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. The operation of this system will now be described in detail.

[0078] User Roles

[0079] First, a user accesses the online store's website or application and selects the desired information processing device (e.g., a smartphone or tablet) from a list provided. Once the user completes their selection, the information is sent to the next process.

[0080] Device Role

[0081] The terminal collects detailed information (such as model name, price, and user ID) about the information processing device selected by the user and transmits it to the server via a network device. This transmission is generally performed using an HTTP request.

[0082] Server Roles

[0083] The server performs the following operations based on the information received from the device:

[0084] 1. Get user information from the database

[0085] The server queries an internal database to retrieve information such as a user's purchase history and contract status, using an SQL query to extract data associated with a specific user ID.

[0086] 2. Search for discount offers

[0087] The server searches for applicable discounts based on the information retrieved from the database, for example, checking whether discount rules such as discounts for new buyers or long-term contract holders apply.

[0088] 3. Discount evaluation and determination

[0089] The server evaluates and determines the best discounts available to the user based on the search results. For example, if a user is both a first-time buyer and a long-term subscriber, the respective discounts are added together to calculate the final discount amount.

[0090] 4. Generating and providing discount information

[0091] Based on the discount information evaluated and determined by the server, detailed discount information is generated in JSON format or similar and sent to the terminal via the network device.

[0092] Terminal Roles (cont.)

[0093] The terminal displays the discount information received from the server on the user interface. The user checks the discount details and selects whether to finalize the purchase. If the user decides to proceed with the purchase, he or she clicks the "Confirm Purchase" button to complete the purchase procedure.

[0094] Specific examples

[0095] For example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and determines the discounts for new purchasers (10%) and long-term contract holders (5%). It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user can confirm the information and proceed with the purchase process at the discounted price.

[0096] Prompt Sentence Examples

[0097] Below is an example of an input prompt for a generative AI model:

[0098] What are the details of the discounts available to me if I am a new buyer and have a long-term contract when purchasing a new smartphone from your online store?

[0099] By using this system, users can easily check applicable discounts, and businesses can also improve their closing rates.

[0100] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0101] Step 1:

[0102] A user selects an information processing device in an online store.

[0103] Specifically, a user uses the online store's web page or app to select the desired device from a list provided.

[0104] Input: Information on the information processing device that a user selects by interacting with a web page or app (e.g., model name, price, user ID).

[0105] Output: Information from the selected information processing device is acquired by the terminal.

[0106] Step 2:

[0107] The terminal transmits the selected information processing device information to the server via the network device.

[0108] Specifically, the operation involves sending information to a server using an HTTP request.

[0109] Input: Information on the information processing device obtained in step 1.

[0110] Output: The information is sent correctly to the server.

[0111] Step 3:

[0112] Based on the information received by the server, the user's purchase history and contract status are obtained from the database.

[0113] Specifically, the server issues an SQL query to retrieve purchase history and contract information associated with the user ID from the database.

[0114] Input: Information on the information processing device received in step 2 (especially the user ID).

[0115] Output: Purchase history and contract status data obtained.

[0116] Step 4:

[0117] Based on the information acquired by the server, applicable discount measures are searched for.

[0118] Specifically, the system extracts applicable discount measures from the database according to pre-set conditions and rules.

[0119] Input: Purchase history and contract status data obtained in Step 3.

[0120] Output: A list of applicable discount offers.

[0121] Step 5:

[0122] The server evaluates the discount offers and determines the best discount for the user.

[0123] As a specific operation, for example, the discounts for new purchasers and long-term contract holders are combined and the total discount amount is calculated.

[0124] Input: The list of discount offers obtained in step 4.

[0125] Output: User-optimized discount information (e.g. total discount amount, details of each discount).

[0126] Step 6:

[0127] The server generates the evaluated and determined discount information and transmits it to the terminal.

[0128] Specifically, the discount information is converted into JSON format and sent to the terminal using an HTTP response.

[0129] Input: The optimal discount information created in step 5.

[0130] Output: The generated discount information is provided to the terminal.

[0131] Step 7:

[0132] The terminal displays the discount information received from the server on a user interface.

[0133] Specifically, discount information is displayed on the screen using HTML and JavaScript (registered trademark).

[0134] Input: The discount information received in step 6.

[0135] Output: Display of discount information in a form that can be viewed by the user.

[0136] Step 8:

[0137] The user checks the displayed discount information and, if he / she decides to make a final purchase, clicks the "Confirm Purchase" button.

[0138] Specifically, a purchase confirmation click event is triggered, and the necessary processing is performed to proceed with the purchase.

[0139] Input: The user clicks the "Confirm Purchase" button.

[0140] Output: Final checkout completed.

[0141] (Application example 1)

[0142] 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."

[0143] In traditional online stores, users had to manually search for applicable discounts, which was time-consuming and laborious. Furthermore, when there were multiple discount measures, it was difficult to determine the optimal combination of discounts, and users sometimes did not receive the maximum discount. These issues worsened the user experience and were a factor in lowering the conversion rate for businesses.

[0144] 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.

[0145] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's status, means for providing the evaluated and determined discount information to the user and displaying it on the device, means for visually presenting the total discount amount and detailed discount information to the user, and means for displaying on various devices (smartphones, tablets, etc.).This allows users to easily obtain optimal discount information and enjoy the maximum applicable discount.

[0146] "User" refers to a consumer or customer who wishes to make a purchase from the online store.

[0147] "Terminal" refers to electronic devices such as smartphones and tablets.

[0148] A "server" refers to a computer system installed in a cloud or data center that manages communications with users and processes information.

[0149] "Purchase history" refers to a record of products and services purchased by a user in the past.

[0150] "Contract status" refers to the contract plan to which the user is currently subscribed and its detailed information.

[0151] "Discount measures" refer to methods and rules for providing price discounts to users who meet certain conditions, such as discounts for new purchasers or long-term contract holders.

[0152] "Evaluation and decision" refers to the process of considering multiple discount measures and selecting the most suitable discount for the user.

[0153] "Visual presentation means" refers to a method of using the device's display to display information in a way that is easily recognizable to the user.

[0154] "Various devices" refers to different types of electronic devices (e.g., smartphones, tablets, laptops, etc.).

[0155] "Total Discount Amount" means the final discount amount obtained by adding together any applicable discounts.

[0156] "Detailed discount information" refers to specific information such as the type of individual discount, the discount rate, and applicable conditions.

[0157] To put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. A specific embodiment of this system will be described in detail below.

[0158] First, a user selects the device they wish to purchase (e.g., a smartphone or tablet) at the online store. The device then sends the selected device information (model name, price, user ID, etc.) to the server. The server receives this information and retrieves the user's past purchase history and current contract status from a database.

[0159] The server then searches the database for multiple discount offers (e.g., discounts for new buyers and long-term contract holders) and evaluates and determines the most appropriate discount based on the user's circumstances. This evaluation includes considering how to combine multiple discounts. For example, if the user is new and has a contract period of 3 years or more, the server combines a 10% new buyer discount with a 5% long-term contract discount.

[0160] The evaluated and determined discount information (total discount amount and detailed information for each discount) is sent from the server to the terminal and visually presented to the user. This allows the user to easily check the optimal discount information and proceed with the purchase procedure at the applied discount amount.

[0161] The system uses the following hardware and software:

[0162] Hardware: smartphones, tablets, servers

[0163] Software: RESTful API, database management system, user interface

[0164] Data processing and calculations are performed in the following order:

[0165] 1. Data collection: The server collects the device information received from the user and retrieves the necessary data from the database.

[0166] 2. Discount search: Search various discount information in the database and identify discounts that are appropriate for the user's situation.

[0167] 3. Discount evaluation and decision: Evaluate the discount combinations to be adopted and calculate the total discount amount.

[0168] 4. Information provision: Discount information is sent to the terminal and presented to the user.

[0169] For example:

[0170] For example, if a new customer with a contract term of three years or more tries to purchase a specific smartphone, the server will calculate a total discount of 15%, applying a 10% discount for new customers and a 5% discount for long-term customers, and send this information to the device. This allows the user to easily check the discount information that best suits them and proceed with the purchase process.

[0171] An example prompt is:

[0172] User ID: 12345, Product ID: 67890 is being considered for purchase. This user is a new purchaser with a contract period of 3 years or more. Please generate the optimal discount information applicable to this user.

[0173] In this way, the system allows users to easily enjoy the maximum discount that can be applied, and also allows businesses to improve their closing rates.

[0174] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0175] Step 1:

[0176] The user selects the device they wish to purchase from the online store.

[0177] Input: User device selection (e.g. smartphone model name, price, user ID)

[0178] How it works: A user selects a device through the online store's UI and clicks a dedicated button, which saves the selection internally to the device.

[0179] Output: Selected device information stored on the device

[0180] Step 2:

[0181] The terminal transmits the selected terminal information to the server.

[0182] Input: Device information selected by the user

[0183] How it works: The device sends the selected device information (model name, price, user ID) to the server via the backend API.

[0184] Output: Device information sent to the server

[0185] Step 3:

[0186] The server obtains the user's purchase history and contract status from a database.

[0187] Input: User ID

[0188] Operation: The server uses the received user ID to query the database, obtaining the user's purchase history and contract status as query results.

[0189] Output: Purchase history and contract status data

[0190] Step 4:

[0191] The server searches a database for multiple discount measures and evaluates and determines the optimal discount based on the user's situation.

[0192] Input: Purchase history, contract status, and device information

[0193] Operation: The server retrieves multiple discount offers (e.g., discounts for new purchasers, discounts for long-term contract holders) from the database, compares them with the user's purchase history and contract status, selects applicable discount offers, and calculates the total discount amount.

[0194] Output: Optimal discount information (e.g. total discount amount, detailed discount information)

[0195] Step 5:

[0196] The evaluated and determined discount information is sent to the terminal and visually presented to the user.

[0197] Enter: Best Discounts

[0198] How it works: The server sends the best discount information to the device, which then visually displays the received information on the UI, including the total discount amount and a detailed discount description.

[0199] Output: Discount information displayed on the terminal

[0200] Step 6:

[0201] The user makes the final purchase decision and completes the purchase process.

[0202] Input: Purchase confirmation information including discount information

[0203] How it works: The user checks the displayed discount information and clicks the Confirm Purchase button, which initiates the final purchase process and sends the purchase confirmation to the server.

[0204] Output: Purchase confirmation sent to the server

[0205] Through this series of processes, users can enjoy optimal discounts without any hassle, while businesses can improve the user experience and increase their conversion rates.

[0206] 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.

[0207] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[0208] First, a user accesses an online store and selects the device (e.g., a smartphone or tablet) they wish to purchase. The device selection includes information such as the model, color options, and storage capacity. The information selected by the user is sent to the server by the device. The information sent includes the selected model, color options, storage capacity, price, and user ID.

[0209] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0210] The emotion engine begins the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0211] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[0212] The server generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[0213] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[0214] As a concrete example, consider a case where a new customer with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for new customer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price.

[0215] In this way, users can obtain optimal discount information based on their emotional state in real time, and the system allows businesses to improve their closing rates.

[0216] The processing flow will be explained below.

[0217] Step 1:

[0218] A user accesses an online store and selects the device they wish to purchase, including information such as model, color, and storage capacity.

[0219] Step 2:

[0220] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[0221] Step 3:

[0222] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[0223] Step 4:

[0224] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0225] Step 5:

[0226] The device uses a camera and microphone to collect the user's facial expressions and voice data, and obtains emotion data in real time, which is then sent to the emotion engine.

[0227] Step 6:

[0228] The emotion engine analyzes the acquired facial expressions and voice data to recognize the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0229] Step 7:

[0230] The server evaluates and decides on discount measures based on the emotional data it acquires. For example, if a user is feeling anxious, it will present a special promotion and make adjustments to increase purchasing motivation.

[0231] Step 8:

[0232] The server generates optimal discount information based on the evaluation and sends it to the terminal, including details of each discount applied, the total discount amount, and the new payment amount.

[0233] Step 9:

[0234] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the applied discount, the new payment amount, and special offers based on sentiment analysis.

[0235] Step 10:

[0236] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[0237] As a specific example, consider a case where a new buyer with a contract term of three years or more is trying to purchase an iPhone 13 Pro. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special 12% discount and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price. In this way, the system allows users to obtain optimal discount information based on their emotional state in real time, and businesses can also improve their conversion rates.

[0238] Example 2

[0239] 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."

[0240] Conventional online store systems could offer discounts based on users' purchase records and contract information, but they were unable to offer adaptive discounts that took into account the user's emotional state. This made it difficult to maximize users' purchasing motivation, limiting the improvement of the closing rate.

[0241] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to select device information that the user wishes to purchase, a means for transmitting the selected device information to the information processing device, a means for acquiring the user's purchase record and contract information, a means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's status, a means for providing the evaluated and determined discount information to the user, a means for recognizing the user's emotional state, and a means for adjusting the discount measure according to the user's emotional state. This makes it possible to provide optimal discount information based on the user's emotions in real time, thereby improving the success rate.

[0242] "User" refers to an individual who uses this system to conduct purchasing activities.

[0243] "Device information" refers to the model, color variations, storage capacity, price, and other related information of the terminal that the user wishes to purchase.

[0244] "Information processing device" refers to a server or computer system that receives and analyzes data entered by a user and performs appropriate processing.

[0245] "Purchase records" refers to historical information about devices and services that a user has purchased in the past.

[0246] "Contract information" refers to the contract plan to which the user is currently subscribed and its detailed information.

[0247] "Discount measures" refer to the various types and conditions of discounts applied at the time of purchase.

[0248] "Emotional state" refers to the psychological state (e.g., joy, surprise, anxiety) analyzed from the user's facial expressions and voice data.

[0249] "Means for evaluation and decision making" refers to the process of calculating and determining the optimal discount based on the user's purchase record, contract information and emotional state.

[0250] "Means of providing" refers to the method for communicating the evaluated and determined discount information to the user.

[0251] "Adjustment" refers to the process of changing and applying discount measures according to the user's emotional state.

[0252] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine. The detailed configuration and operation of this system are described below.

[0253] A user accesses an online store using a smartphone or tablet. They display the store page using a browser and select the device they wish to purchase (e.g., a smartphone or tablet). The device information they select includes the model, color, storage capacity, etc. For example, a user can select "iPhone 13 Pro, Silver, 256GB."

[0254] The device sends this information entered by the user to the server as an HTTP request, typically using a RESTful API and organizing the data in JSON format.

[0255] Next, the server retrieves the user's purchase record and contract information from a database (e.g., MySQL®) based on the received device information and user ID. The purchase record contains details of devices and services purchased in the past, and the contract information contains the current contract plan and its contents. This information is retrieved using an SQL query.

[0256] The server references the discount information in the database based on the acquired user information. Discounts include discounts for new purchasers, discounts for long-term contract holders, promotions for specific devices, etc. It uses an SQL query to search for currently applicable discounts and temporarily stores the results in memory.

[0257] The emotion engine starts the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expression and voice data in real time. This data is sent from the device to the server using WebRTC technology. The server uses an emotion engine (e.g., Amazon Rekognition or Google® Cloud Vision) to analyze the facial expression and voice data and recognize the user's emotional state (e.g., joy, surprise, anxiety). The analyzed data is saved in JSON format.

[0258] The server evaluates and decides on discount measures based on the acquired emotional data. It uses an evaluation algorithm (e.g., decision tree or random forest) to provide special discounts according to the user's emotional state. For example, if the user is in an anxious state, it will adjust the offer to present a special promotion to increase their motivation to purchase.

[0259] The server then generates the optimal discount information, including details of each discount applied (e.g., discount rate, conditions), the total discount amount, and the new payment amount. The generated discount information is sent to the terminal as an HTTP response. The data is sent in JSON format.

[0260] The terminal displays the received discount information to the user. Here, JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user checks the displayed discount information and proceeds with the purchase by clicking the "Confirm Purchase" button. Once the purchase process is complete, the server sends a confirmation email to the user.

[0261] Specific examples

[0262] For example, consider a case where a user is a new buyer with a contract term of 3 years or more and wants to purchase an iPhone 13 Pro. In this case, the server searches and evaluates new buyer discounts (e.g., 10% off) and long-term contract discounts (e.g., 5% off). If the emotion engine recognizes the user's "happiness" state, it applies an additional special discount (e.g., 2% off). Finally, the server calculates the total discount rate (e.g., 17% off) and presents the new payment amount (e.g., $1,200 - $996).

[0263] Prompt Sentence Examples

[0264] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[0265] In this way, users can obtain optimal discount information based on their emotional state in real time, and businesses can also improve their closing rates.

[0266] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0267] Processing Steps

[0268] Step 1:

[0269] A user accesses an online store and selects the device they wish to purchase (e.g., smartphone, tablet) via a browser. Device information such as the model, color variation, and storage capacity is entered. For example, the input data is "iPhone 13 Pro, silver, 256GB, price $1,200, user ID 12345."

[0270] Step 2:

[0271] The device sends the device information entered by the user to the server in JSON format as an HTTP request. The sent data is as follows, for example:

[0272] json

[0273] {

[0274] "Model": "iPhone 13 Pro",

[0275] "Color Variation": "Silver",

[0276] "Storage capacity": "256GB",

[0277] "Price": "$1200",

[0278] "User ID": "12345"

[0279] }

[0280] The specific operation of the terminal is to send data to the server using a RESTful API.

[0281] Step 3:

[0282] The server uses an SQL query to retrieve the user's purchase record and contract information from the database based on the received device information and user ID. "User ID 12345" is used as input, and past purchase history and current contract information are obtained as output. Specific operations include executing the SQL query and analyzing the results.

[0283] Step 4:

[0284] The server references discount information in the database based on the acquired user information. The search target changes depending on purchase history and contract information. For example, it searches for information such as discounts for new buyers, discounts for long-term contract holders, and promotions for specific devices using an SQL query, and temporarily stores the results in memory. The input is purchase records and contract information, and the output is a list of applicable discounts.

[0285] Step 5:

[0286] The emotion engine starts the emotion recognition process. The device uses the camera and microphone to collect the user's facial expression and voice data, and sends the data to the server in real time using WebRTC technology. The input data is the captured image and voice data, and the emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) is used for analysis. The analysis results are sent to the server in JSON format.

[0287] Step 6:

[0288] The server evaluates and decides on discount measures based on the received emotional data. Algorithms such as decision trees and random forests are used for the evaluation. For example, if the user's emotional state is determined to be "joyful," adjustments are made such as applying a 10% discount for new buyers, a 5% discount for long-term subscribers, and an additional 2% special discount. The inputs are emotional data and a list of discount measures, and the output is the optimal discount measure.

[0289] Step 7:

[0290] The server generates optimal discount information based on the evaluated discount measures. Specifically, it includes details of the applied discount (e.g., discount rate, conditions), total discount amount, and new payment amount. The generated discount information is sent to the terminal as an HTTP response in JSON format, for example, as shown below.

[0291] json

[0292] {

[0293] "Total Discount Rate": "17%",

[0294] "Total Discount": "$204",

[0295] "New payment amount": "$996",

[0296] "Discount Details": {

[0297] "New Buyer Discount": "10%",

[0298] "Long-term contract discount": "5%",

[0299] "Special Discount": "2%"

[0300] }

[0301] }

[0302] Specifically, calculations and data generation are performed based on the evaluation results, and the results are transmitted.

[0303] Step 8:

[0304] The terminal displays the received discount information to the user. JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user then checks the displayed discount information and clicks the "Confirm Purchase" button to proceed with the purchase. A purchase procedure request is sent to the server, and the purchase process is completed on the server. After the process is complete, the server sends a confirmation email to the user. The input is the discount information, and the output is the final purchase confirmation and notification.

[0305] Prompt Sentence Examples

[0306] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[0307] (Application example 2)

[0308] 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."

[0309] Conventional online shopping sites offer discounts based on users' past purchase history and contract status, but this approach may not maximize users' purchasing motivation. It is known that a user's emotional state significantly influences their purchasing decisions, and discount measures that take emotions into account are needed. However, current systems have difficulty analyzing a user's emotional state in real time and offering optimal discounts based on that analysis. Therefore, a key challenge is to develop a system that provides discount information based on a user's emotional state and enhances their purchasing motivation.

[0310] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0311] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's situation, means for providing the evaluated and determined discount information to the user, means for acquiring emotion data using an emotion engine that recognizes the user's emotional state, means for adjusting the discount measures based on the emotion data, and means for transmitting the acquired emotion data and the adjusted discount measures to the server. This makes it possible to provide optimal discount information based on the user's emotional state in real time, thereby increasing purchasing motivation.

[0312] "User" means any individual or entity that accesses the System to use a product or service.

[0313] "Information about the device desired to be purchased" is information about the product the user wishes to purchase, specifically including details such as the model, color variations, storage capacity, and price.

[0314] A "server" is a computer system that works in conjunction with terminals via a network and stores and processes data.

[0315] "Purchase History" refers to a record of products and services purchased by a User in the past.

[0316] "Contract status" refers to the contract plan to which the user is currently subscribed and detailed information about it.

[0317] "Discount measures" refer to price discounts and special offers applied to promote products.

[0318] An "emotion engine" is a system that analyzes a user's facial expressions and voice data to recognize the user's emotional state.

[0319] "Emotion data" refers to data relating to the user's emotional state obtained through analysis by the emotion engine.

[0320] "Tailored discounts" refers to discounts and promotions that are optimized based on emotional data.

[0321] The "means of provision" refers to the part that has the function of displaying the evaluated and determined discount information to the user.

[0322] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[0323] First, a user accesses a smartphone mail-order application and selects the device information (e.g., model, color variations, storage capacity, etc.) they wish to purchase. The selected information is sent from the device to the server. The sent information includes the selected model, color variations, storage capacity, price, user ID, etc.

[0324] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0325] The emotion engine then begins the emotion recognition process. The device is equipped with a smartphone camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0326] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[0327] The server then generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[0328] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[0329] As a concrete example, consider the case where a new user with a contract term of three years or more is about to purchase a smartphone. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and decides on them. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase procedure at the discounted price.

[0330] Example prompts for generative AI models

[0331] "What discount promotions work if users look anxious?"

[0332] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0333] Step 1:

[0334] The user operates the device to select the device information they wish to purchase. This information includes the model, color variations, storage capacity, price, and user ID. The device sends the selected information to the server. The input is the user's device information, and the output is the data sent to the server. Specific operations include the user's selection operation and the device sending the data.

[0335] Step 2:

[0336] The server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The input is device information and user ID, and the output is the retrieved purchase history and contract status data. Specific operations include querying the server's database and retrieving information.

[0337] Step 3:

[0338] The server searches multiple discount measures in the database based on the acquired purchase history and contract status, and evaluates and decides on the optimal discount based on the user's situation. The input is purchase history and contract status data, and the output is the evaluated and decided discount information. Specific operations include the server searching for and evaluating discount measures.

[0339] Step 4:

[0340] The device activates the emotion engine and collects the user's facial expressions and voice in real time using a camera and microphone. This data is analyzed by the emotion engine to recognize the user's emotional state. The input is facial expression and voice data, and the output is the recognized emotional state. Specific operations include collecting data from the camera and microphone and analyzing it using the emotion engine.

[0341] Step 5:

[0342] The device transmits the acquired emotional data to the server. The input is the recognized emotional state, and the output is the data to be transmitted to the server. A specific example of this operation is data transmission from the device to the server.

[0343] Step 6:

[0344] The server re-evaluates and decides on discount measures based on the acquired emotional data. This includes adjusting discount measures according to the emotional state. The input is emotional data and existing discount information, and the output is adjusted discount information. Specific operations include analyzing emotional data and re-evaluating discount information.

[0345] Step 7:

[0346] The server generates optimal discount information and transmits it to the terminal. The input is the adjusted discount information, and the output is the data to be transmitted to the terminal. A specific operation is the transmission of data from the server to the terminal.

[0347] Step 8:

[0348] The terminal displays the received discount information to the user. The information includes the total discount amount, a breakdown of the applied discount, the new payment amount, and a description of the discount policy based on sentiment analysis. The input is the received discount information, and the output is the content displayed to the user. Specific operations include displaying the information on the screen.

[0349] Step 9:

[0350] The user checks the displayed discount information and makes a final decision to purchase. Clicking the "Confirm Purchase" button will proceed with the purchase procedure. The input is the connected discount information, and the output is the purchase confirmation operation. Specific operations include the user's confirmation operation and the progress of the purchase procedure.

[0351] 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.

[0352] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0353] 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.

[0354] [Second embodiment]

[0355] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0356] 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.

[0357] 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).

[0358] 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.

[0359] 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.

[0360] 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).

[0361] 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.

[0362] 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.

[0363] 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.

[0364] 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.

[0365] 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.

[0366] 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."

[0367] In order to put this invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with each other. The operation of this system will now be explained in natural language.

[0368] First, when a user attempts to purchase a device through an online store, they select the device they want (for example, a smartphone or tablet). The device then sends information about the device selected by the user to the server. Specifically, the information sent includes the model name, price, user ID, etc. of the selected device.

[0369] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information. The purchase history includes records of devices and services the user has previously purchased, and the contract status includes the user's current contract plan and details.

[0370] The server then searches for multiple discounts based on the acquired information. For example, there are discounts for new buyers (10% off) and discounts for long-term contract holders (5% off). This search is performed by referencing the information in the database.

[0371] After the discount offers are retrieved, the server evaluates and determines the best discount based on the user's situation, which may include a combination of 10% off and 5% off for users who are both new buyers and long-term subscribers.

[0372] The server generates the evaluated and determined discount information and provides it to the user's device. For example, it may contain detailed information such as "total discount amount 15%, new purchase discount 10%, long-term contract discount 5%."

[0373] Finally, the terminal displays the offered discount information to the user, who can then review the information and choose whether to finalize the purchase. If the user wishes to proceed with the purchase, they can click the "Confirm Purchase" button.

[0374] As a specific example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and decides on a 10% discount for new purchasers and a 5% discount for long-term contract holders. It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user confirms the information and proceeds with the purchase at the discounted price.

[0375] In this way, users can easily check applicable discounts, and businesses can improve their closing rates.

[0376] The processing flow will be explained below.

[0377] Step 1:

[0378] A user accesses an online store and selects the device they wish to purchase. Device options include model, color variations, storage capacity, etc.

[0379] Step 2:

[0380] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[0381] Step 3:

[0382] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[0383] Step 4:

[0384] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0385] Step 5:

[0386] The server evaluates applicable discount policies based on the user's purchase history and contract status. For example, if the user is a new purchaser and has a long-term contract, it determines whether each discount policy is applicable.

[0387] Step 6:

[0388] The server determines and generates the optimal discount information based on the evaluation. For example, it generates the optimal discount information by combining a "10% discount for new buyers" and a "5% discount for long-term contract customers" to achieve a total discount of 15%.

[0389] Step 7:

[0390] The server sends the generated discount information to the terminal, including details of each discount applied (such as the discount rate and conditions), the total discount amount, and the new payment amount.

[0391] Step 8:

[0392] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the discounts applied, and the new payment amount.

[0393] Step 9:

[0394] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[0395] Through the above steps, the system allows users to easily check the discount information that applies to them and purchase a device under the most optimal conditions.

[0396] Example 1

[0397] 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."

[0398] In current online stores, it is difficult for users to quickly and accurately grasp applicable discount information. In particular, there is a lack of a way to optimally combine multiple discounts based on a user's purchase history and contract status, which reduces user convenience. In addition, businesses have limited means to improve conversion rates by offering appropriate discounts.

[0399] 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.

[0400] In this invention, the server includes means for a user to select information on an information processing device they wish to purchase, means for transmitting the selected information on the information processing device to a network device, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal cost reduction based on the user's situation, and means for providing the evaluated and determined cost reduction information to the user. This allows users to check applicable discounts without any effort, and enables businesses to improve their closing rates.

[0401] An "information processing device" is an electronic device that a user wishes to purchase, and includes, for example, a smartphone, a tablet, a laptop computer, and the like.

[0402] A "network device" is a communication device that connects a user's terminal with a server and has the function of sending and receiving data via the Internet.

[0403] "Purchase history" is a record of products and services purchased by a user in the past, and includes detailed information such as date, item, and price.

[0404] "Contract status" refers to details of the service plan and contract contents to which the user is currently subscribed, and includes information such as the contract start date, contract period, and service contents.

[0405] "Discount measures" are cost reduction measures that can be applied to users, and include specific discount rules such as discounts for new purchasers and discounts for long-term contract holders.

[0406] "Cost reduction" is a means of reducing the amount a user pays, and is achieved through discounts and special offers.

[0407] "Evaluation and Decision" refers to the process in which the server selects the most suitable discount based on the user's situation and determines the best discount information available to the user.

[0408] In order to put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. The operation of this system will now be described in detail.

[0409] User Roles

[0410] First, a user accesses the online store's website or application and selects the desired information processing device (e.g., a smartphone or tablet) from a list provided. Once the user completes their selection, the information is sent to the next process.

[0411] Device Role

[0412] The terminal collects detailed information (such as model name, price, and user ID) about the information processing device selected by the user and transmits it to the server via a network device. This transmission is generally performed using an HTTP request.

[0413] Server Roles

[0414] The server performs the following operations based on the information received from the device:

[0415] 1. Get user information from the database

[0416] The server queries an internal database to retrieve information such as a user's purchase history and contract status, using an SQL query to extract data associated with a specific user ID.

[0417] 2. Search for discount offers

[0418] The server searches for applicable discounts based on the information retrieved from the database, for example, checking whether discount rules such as discounts for new buyers or long-term contract holders apply.

[0419] 3. Discount evaluation and determination

[0420] The server evaluates and determines the best discounts available to the user based on the search results. For example, if a user is both a first-time buyer and a long-term subscriber, the respective discounts are added together to calculate the final discount amount.

[0421] 4. Generating and providing discount information

[0422] Based on the discount information evaluated and determined by the server, detailed discount information is generated in JSON format or similar and sent to the terminal via the network device.

[0423] Terminal Roles (cont.)

[0424] The terminal displays the discount information received from the server on the user interface. The user checks the discount details and selects whether to finalize the purchase. If the user decides to proceed with the purchase, he or she clicks the "Confirm Purchase" button to complete the purchase procedure.

[0425] Specific examples

[0426] For example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and determines the discounts for new purchasers (10%) and long-term contract holders (5%). It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user can confirm the information and proceed with the purchase process at the discounted price.

[0427] Prompt Sentence Examples

[0428] Below is an example of an input prompt for a generative AI model:

[0429] What are the details of the discounts available to me if I am a new buyer and have a long-term contract when purchasing a new smartphone from your online store?

[0430] By using this system, users can easily check applicable discounts, and businesses can also improve their closing rates.

[0431] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0432] Step 1:

[0433] A user selects an information processing device in an online store.

[0434] Specifically, a user uses the online store's web page or app to select the desired device from a list provided.

[0435] Input: Information on the information processing device that a user selects by interacting with a web page or app (e.g., model name, price, user ID).

[0436] Output: Information from the selected information processing device is acquired by the terminal.

[0437] Step 2:

[0438] The terminal transmits the selected information processing device information to the server via the network device.

[0439] Specifically, the operation involves sending information to a server using an HTTP request.

[0440] Input: Information on the information processing device obtained in step 1.

[0441] Output: The information is sent correctly to the server.

[0442] Step 3:

[0443] Based on the information received by the server, the user's purchase history and contract status are obtained from the database.

[0444] Specifically, the server issues an SQL query to retrieve purchase history and contract information associated with the user ID from the database.

[0445] Input: Information on the information processing device received in step 2 (especially the user ID).

[0446] Output: Purchase history and contract status data obtained.

[0447] Step 4:

[0448] Based on the information acquired by the server, applicable discount measures are searched for.

[0449] Specifically, the system extracts applicable discount measures from the database according to pre-set conditions and rules.

[0450] Input: Purchase history and contract status data obtained in Step 3.

[0451] Output: A list of applicable discount offers.

[0452] Step 5:

[0453] The server evaluates the discount offers and determines the best discount for the user.

[0454] As a specific operation, for example, the discounts for new purchasers and long-term contract holders are combined and the total discount amount is calculated.

[0455] Input: The list of discount offers obtained in step 4.

[0456] Output: User-optimized discount information (e.g. total discount amount, details of each discount).

[0457] Step 6:

[0458] The server generates the evaluated and determined discount information and transmits it to the terminal.

[0459] Specifically, the discount information is converted into JSON format and sent to the terminal using an HTTP response.

[0460] Input: The optimal discount information created in step 5.

[0461] Output: The generated discount information is provided to the terminal.

[0462] Step 7:

[0463] The terminal displays the discount information received from the server on a user interface.

[0464] Specifically, discount information is displayed on the screen using HTML and JavaScript.

[0465] Input: The discount information received in step 6.

[0466] Output: Display of discount information in a form that can be viewed by the user.

[0467] Step 8:

[0468] The user checks the displayed discount information and, if he / she decides to make a final purchase, clicks the "Confirm Purchase" button.

[0469] Specifically, a purchase confirmation click event is triggered, and the necessary processing is performed to proceed with the purchase.

[0470] Input: The user clicks the "Confirm Purchase" button.

[0471] Output: Final checkout completed.

[0472] (Application example 1)

[0473] 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."

[0474] In traditional online stores, users had to manually search for applicable discounts, which was time-consuming and laborious. Furthermore, when there were multiple discount measures, it was difficult to determine the optimal combination of discounts, and users sometimes did not receive the maximum discount. These issues worsened the user experience and were a factor in lowering the conversion rate for businesses.

[0475] 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.

[0476] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's status, means for providing the evaluated and determined discount information to the user and displaying it on the device, means for visually presenting the total discount amount and detailed discount information to the user, and means for displaying on various devices (smartphones, tablets, etc.).This allows users to easily obtain optimal discount information and enjoy the maximum applicable discount.

[0477] "User" refers to a consumer or customer who wishes to make a purchase from the online store.

[0478] "Terminal" refers to electronic devices such as smartphones and tablets.

[0479] A "server" refers to a computer system installed in a cloud or data center that manages communications with users and processes information.

[0480] "Purchase history" refers to a record of products and services purchased by a user in the past.

[0481] "Contract status" refers to the contract plan to which the user is currently subscribed and its detailed information.

[0482] "Discount measures" refer to methods and rules for providing price discounts to users who meet certain conditions, such as discounts for new purchasers or long-term contract holders.

[0483] "Evaluation and decision" refers to the process of considering multiple discount measures and selecting the most suitable discount for the user.

[0484] "Visual presentation means" refers to a method of using the device's display to display information in a way that is easily recognizable to the user.

[0485] "Various devices" refers to different types of electronic devices (e.g., smartphones, tablets, laptops, etc.).

[0486] "Total Discount Amount" means the final discount amount obtained by adding together any applicable discounts.

[0487] "Detailed discount information" refers to specific information such as the type of individual discount, the discount rate, and applicable conditions.

[0488] To put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. A specific embodiment of this system will be described in detail below.

[0489] First, a user selects the device they wish to purchase (e.g., a smartphone or tablet) at the online store. The device then sends the selected device information (model name, price, user ID, etc.) to the server. The server receives this information and retrieves the user's past purchase history and current contract status from a database.

[0490] The server then searches the database for multiple discount offers (e.g., discounts for new buyers and long-term contract holders) and evaluates and determines the most appropriate discount based on the user's circumstances. This evaluation includes considering how to combine multiple discounts. For example, if the user is new and has a contract period of 3 years or more, the server combines a 10% new buyer discount with a 5% long-term contract discount.

[0491] The evaluated and determined discount information (total discount amount and detailed information for each discount) is sent from the server to the terminal and visually presented to the user. This allows the user to easily check the optimal discount information and proceed with the purchase procedure at the applied discount amount.

[0492] The system uses the following hardware and software:

[0493] Hardware: smartphones, tablets, servers

[0494] Software: RESTful API, database management system, user interface

[0495] Data processing and calculations are performed in the following order:

[0496] 1. Data collection: The server collects the device information received from the user and retrieves the necessary data from the database.

[0497] 2. Discount search: Search various discount information in the database and identify discounts that are appropriate for the user's situation.

[0498] 3. Discount evaluation and decision: Evaluate the discount combinations to be adopted and calculate the total discount amount.

[0499] 4. Information provision: Discount information is sent to the terminal and presented to the user.

[0500] For example:

[0501] For example, if a new customer with a contract term of three years or more tries to purchase a specific smartphone, the server will calculate a total discount of 15%, applying a 10% discount for new customers and a 5% discount for long-term customers, and send this information to the device. This allows the user to easily check the discount information that best suits them and proceed with the purchase process.

[0502] An example prompt is:

[0503] User ID: 12345, Product ID: 67890 is being considered for purchase. This user is a new purchaser with a contract period of 3 years or more. Please generate the optimal discount information applicable to this user.

[0504] In this way, the system allows users to easily enjoy the maximum discount that can be applied, and also allows businesses to improve their closing rates.

[0505] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0506] Step 1:

[0507] The user selects the device they wish to purchase from the online store.

[0508] Input: User device selection (e.g. smartphone model name, price, user ID)

[0509] How it works: A user selects a device through the online store's UI and clicks a dedicated button, which saves the selection internally to the device.

[0510] Output: Selected device information stored on the device

[0511] Step 2:

[0512] The terminal transmits the selected terminal information to the server.

[0513] Input: Device information selected by the user

[0514] How it works: The device sends the selected device information (model name, price, user ID) to the server via the backend API.

[0515] Output: Device information sent to the server

[0516] Step 3:

[0517] The server obtains the user's purchase history and contract status from a database.

[0518] Input: User ID

[0519] Operation: The server uses the received user ID to query the database, obtaining the user's purchase history and contract status as query results.

[0520] Output: Purchase history and contract status data

[0521] Step 4:

[0522] The server searches a database for multiple discount measures and evaluates and determines the optimal discount based on the user's situation.

[0523] Input: Purchase history, contract status, and device information

[0524] Operation: The server retrieves multiple discount offers (e.g., discounts for new purchasers, discounts for long-term contract holders) from the database, compares them with the user's purchase history and contract status, selects applicable discount offers, and calculates the total discount amount.

[0525] Output: Optimal discount information (e.g. total discount amount, detailed discount information)

[0526] Step 5:

[0527] The evaluated and determined discount information is sent to the terminal and visually presented to the user.

[0528] Enter: Best Discounts

[0529] How it works: The server sends the best discount information to the device, which then visually displays the received information on the UI, including the total discount amount and a detailed discount description.

[0530] Output: Discount information displayed on the terminal

[0531] Step 6:

[0532] The user makes the final purchase decision and completes the purchase process.

[0533] Input: Purchase confirmation information including discount information

[0534] How it works: The user checks the displayed discount information and clicks the Confirm Purchase button, which initiates the final purchase process and sends the purchase confirmation to the server.

[0535] Output: Purchase confirmation sent to the server

[0536] Through this series of processes, users can enjoy optimal discounts without any hassle, while businesses can improve the user experience and increase their conversion rates.

[0537] 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.

[0538] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[0539] First, a user accesses an online store and selects the device (e.g., a smartphone or tablet) they wish to purchase. The device selection includes information such as the model, color options, and storage capacity. The information selected by the user is sent to the server by the device. The information sent includes the selected model, color options, storage capacity, price, and user ID.

[0540] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0541] The emotion engine begins the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0542] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[0543] The server generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[0544] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[0545] As a concrete example, consider a case where a new customer with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for new customer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price.

[0546] In this way, users can obtain optimal discount information based on their emotional state in real time, and the system allows businesses to improve their closing rates.

[0547] The processing flow will be explained below.

[0548] Step 1:

[0549] A user accesses an online store and selects the device they wish to purchase, including information such as model, color, and storage capacity.

[0550] Step 2:

[0551] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[0552] Step 3:

[0553] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[0554] Step 4:

[0555] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0556] Step 5:

[0557] The device uses a camera and microphone to collect the user's facial expressions and voice data, and obtains emotion data in real time, which is then sent to the emotion engine.

[0558] Step 6:

[0559] The emotion engine analyzes the acquired facial expressions and voice data to recognize the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0560] Step 7:

[0561] The server evaluates and decides on discount measures based on the emotional data it acquires. For example, if a user is feeling anxious, it will present a special promotion and make adjustments to increase purchasing motivation.

[0562] Step 8:

[0563] The server generates optimal discount information based on the evaluation and sends it to the terminal, including details of each discount applied, the total discount amount, and the new payment amount.

[0564] Step 9:

[0565] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the applied discount, the new payment amount, and special offers based on sentiment analysis.

[0566] Step 10:

[0567] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[0568] As a specific example, consider a case where a new buyer with a contract term of three years or more is trying to purchase an iPhone 13 Pro. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special 12% discount and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price. In this way, the system allows users to obtain optimal discount information based on their emotional state in real time, and businesses can also improve their conversion rates.

[0569] Example 2

[0570] 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."

[0571] Conventional online store systems could offer discounts based on users' purchase records and contract information, but they were unable to offer adaptive discounts that took into account the user's emotional state. This made it difficult to maximize users' purchasing motivation, limiting the improvement of the closing rate.

[0572] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to select device information that the user wishes to purchase, a means for transmitting the selected device information to the information processing device, a means for acquiring the user's purchase record and contract information, a means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's status, a means for providing the evaluated and determined discount information to the user, a means for recognizing the user's emotional state, and a means for adjusting the discount measure according to the user's emotional state. This makes it possible to provide optimal discount information based on the user's emotions in real time, thereby improving the success rate.

[0573] "User" refers to an individual who uses this system to conduct purchasing activities.

[0574] "Device information" refers to the model, color variations, storage capacity, price, and other related information of the terminal that the user wishes to purchase.

[0575] "Information processing device" refers to a server or computer system that receives and analyzes data entered by a user and performs appropriate processing.

[0576] "Purchase records" refers to historical information about devices and services that a user has purchased in the past.

[0577] "Contract information" refers to the contract plan to which the user is currently subscribed and its detailed information.

[0578] "Discount measures" refer to the various types and conditions of discounts applied at the time of purchase.

[0579] "Emotional state" refers to the psychological state (e.g., joy, surprise, anxiety) analyzed from the user's facial expressions and voice data.

[0580] "Means for evaluation and decision making" refers to the process of calculating and determining the optimal discount based on the user's purchase record, contract information and emotional state.

[0581] "Means of providing" refers to the method for communicating the evaluated and determined discount information to the user.

[0582] "Adjustment" refers to the process of changing and applying discount measures according to the user's emotional state.

[0583] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine. The detailed configuration and operation of this system are described below.

[0584] A user accesses an online store using a smartphone or tablet. They display the store page using a browser and select the device they wish to purchase (e.g., a smartphone or tablet). The device information they select includes the model, color, storage capacity, etc. For example, a user can select "iPhone 13 Pro, Silver, 256GB."

[0585] The device sends this information entered by the user to the server as an HTTP request, typically using a RESTful API and organizing the data in JSON format.

[0586] Next, the server retrieves the user's purchase record and contract information from a database (e.g., MySQL) based on the received device information and user ID. The purchase record contains details of previously purchased devices and services, and the contract information contains the current contract plan and its contents. This information is retrieved using an SQL query.

[0587] The server references the discount information in the database based on the acquired user information. Discounts include discounts for new purchasers, discounts for long-term contract holders, promotions for specific devices, etc. It uses an SQL query to search for currently applicable discounts and temporarily stores the results in memory.

[0588] The emotion engine starts the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expression and voice data in real time. This data is sent from the device to the server using WebRTC technology. The server uses an emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) to analyze the facial expression and voice data and recognize the user's emotional state (e.g., joy, surprise, anxiety). The analyzed data is saved in JSON format.

[0589] The server evaluates and decides on discount measures based on the acquired emotional data. It uses an evaluation algorithm (e.g., decision tree or random forest) to provide special discounts according to the user's emotional state. For example, if the user is in an anxious state, it will adjust the offer to present a special promotion to increase their motivation to purchase.

[0590] The server then generates the optimal discount information, including details of each discount applied (e.g., discount rate, conditions), the total discount amount, and the new payment amount. The generated discount information is sent to the terminal as an HTTP response. The data is sent in JSON format.

[0591] The terminal displays the received discount information to the user. Here, JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user checks the displayed discount information and proceeds with the purchase by clicking the "Confirm Purchase" button. Once the purchase process is complete, the server sends a confirmation email to the user.

[0592] Specific examples

[0593] For example, consider a case where a user is a new buyer with a contract term of 3 years or more and wants to purchase an iPhone 13 Pro. In this case, the server searches and evaluates new buyer discounts (e.g., 10% off) and long-term contract discounts (e.g., 5% off). If the emotion engine recognizes the user's "happiness" state, it applies an additional special discount (e.g., 2% off). Finally, the server calculates the total discount rate (e.g., 17% off) and presents the new payment amount (e.g., $1,200 - $996).

[0594] Prompt Sentence Examples

[0595] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[0596] In this way, users can obtain optimal discount information based on their emotional state in real time, and businesses can also improve their closing rates.

[0597] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0598] Processing Steps

[0599] Step 1:

[0600] A user accesses an online store and selects the device they wish to purchase (e.g., smartphone, tablet) via a browser. Device information such as the model, color variation, and storage capacity is entered. For example, the input data is "iPhone 13 Pro, silver, 256GB, price $1,200, user ID 12345."

[0601] Step 2:

[0602] The device sends the device information entered by the user to the server in JSON format as an HTTP request. The sent data is as follows, for example:

[0603] json

[0604] {

[0605] "Model": "iPhone 13 Pro",

[0606] "Color Variation": "Silver",

[0607] "Storage capacity": "256GB",

[0608] "Price": "$1200",

[0609] "User ID": "12345"

[0610] }

[0611] The specific operation of the terminal is to send data to the server using a RESTful API.

[0612] Step 3:

[0613] The server uses an SQL query to retrieve the user's purchase record and contract information from the database based on the received device information and user ID. "User ID 12345" is used as input, and past purchase history and current contract information are obtained as output. Specific operations include executing the SQL query and analyzing the results.

[0614] Step 4:

[0615] The server references discount information in the database based on the acquired user information. The search target changes depending on purchase history and contract information. For example, it searches for information such as discounts for new buyers, discounts for long-term contract holders, and promotions for specific devices using an SQL query, and temporarily stores the results in memory. The input is purchase records and contract information, and the output is a list of applicable discounts.

[0616] Step 5:

[0617] The emotion engine starts the emotion recognition process. The device uses the camera and microphone to collect the user's facial expression and voice data, and sends the data to the server in real time using WebRTC technology. The input data is the captured image and voice data, and the emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) is used for analysis. The analysis results are sent to the server in JSON format.

[0618] Step 6:

[0619] The server evaluates and decides on discount measures based on the received emotional data. Algorithms such as decision trees and random forests are used for the evaluation. For example, if the user's emotional state is determined to be "joyful," adjustments are made such as applying a 10% discount for new buyers, a 5% discount for long-term subscribers, and an additional 2% special discount. The inputs are emotional data and a list of discount measures, and the output is the optimal discount measure.

[0620] Step 7:

[0621] The server generates optimal discount information based on the evaluated discount measures. Specifically, it includes details of the applied discount (e.g., discount rate, conditions), total discount amount, and new payment amount. The generated discount information is sent to the terminal as an HTTP response in JSON format, for example, as shown below.

[0622] json

[0623] {

[0624] "Total Discount Rate": "17%",

[0625] "Total Discount": "$204",

[0626] "New payment amount": "$996",

[0627] "Discount Details": {

[0628] "New Buyer Discount": "10%",

[0629] "Long-term contract discount": "5%",

[0630] "Special Discount": "2%"

[0631] }

[0632] }

[0633] Specifically, calculations and data generation are performed based on the evaluation results, and the results are transmitted.

[0634] Step 8:

[0635] The terminal displays the received discount information to the user. JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user then checks the displayed discount information and clicks the "Confirm Purchase" button to proceed with the purchase. A purchase procedure request is sent to the server, and the purchase process is completed on the server. After the process is complete, the server sends a confirmation email to the user. The input is the discount information, and the output is the final purchase confirmation and notification.

[0636] Prompt Sentence Examples

[0637] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[0638] (Application example 2)

[0639] 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."

[0640] Conventional online shopping sites offer discounts based on users' past purchase history and contract status, but this approach may not maximize users' purchasing motivation. It is known that a user's emotional state significantly influences their purchasing decisions, and discount measures that take emotions into account are needed. However, current systems have difficulty analyzing a user's emotional state in real time and offering optimal discounts based on that analysis. Therefore, a key challenge is to develop a system that provides discount information based on a user's emotional state and enhances their purchasing motivation.

[0641] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0642] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's situation, means for providing the evaluated and determined discount information to the user, means for acquiring emotion data using an emotion engine that recognizes the user's emotional state, means for adjusting the discount measures based on the emotion data, and means for transmitting the acquired emotion data and the adjusted discount measures to the server. This makes it possible to provide optimal discount information based on the user's emotional state in real time, thereby increasing purchasing motivation.

[0643] "User" means any individual or entity that accesses the System to use a product or service.

[0644] "Information about the device desired to be purchased" is information about the product the user wishes to purchase, specifically including details such as the model, color variations, storage capacity, and price.

[0645] A "server" is a computer system that works in conjunction with terminals via a network and stores and processes data.

[0646] "Purchase History" refers to a record of products and services purchased by a User in the past.

[0647] "Contract status" refers to the contract plan to which the user is currently subscribed and detailed information about it.

[0648] "Discount measures" refer to price discounts and special offers applied to promote products.

[0649] An "emotion engine" is a system that analyzes a user's facial expressions and voice data to recognize the user's emotional state.

[0650] "Emotion data" refers to data relating to the user's emotional state obtained through analysis by the emotion engine.

[0651] "Tailored discounts" refers to discounts and promotions that are optimized based on emotional data.

[0652] The "means of provision" refers to the part that has the function of displaying the evaluated and determined discount information to the user.

[0653] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[0654] First, a user accesses a smartphone mail-order application and selects the device information (e.g., model, color variations, storage capacity, etc.) they wish to purchase. The selected information is sent from the device to the server. The sent information includes the selected model, color variations, storage capacity, price, user ID, etc.

[0655] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0656] The emotion engine then begins the emotion recognition process. The device is equipped with a smartphone camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0657] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[0658] The server then generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[0659] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[0660] As a concrete example, consider the case where a new user with a contract term of three years or more is about to purchase a smartphone. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and decides on them. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase procedure at the discounted price.

[0661] Example prompts for generative AI models

[0662] "What discount promotions work if users look anxious?"

[0663] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0664] Step 1:

[0665] The user operates the device to select the device information they wish to purchase. This information includes the model, color variations, storage capacity, price, and user ID. The device sends the selected information to the server. The input is the user's device information, and the output is the data sent to the server. Specific operations include the user's selection operation and the device sending the data.

[0666] Step 2:

[0667] The server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The input is device information and user ID, and the output is the retrieved purchase history and contract status data. Specific operations include querying the server's database and retrieving information.

[0668] Step 3:

[0669] The server searches multiple discount measures in the database based on the acquired purchase history and contract status, and evaluates and decides on the optimal discount based on the user's situation. The input is purchase history and contract status data, and the output is the evaluated and decided discount information. Specific operations include the server searching for and evaluating discount measures.

[0670] Step 4:

[0671] The device activates the emotion engine and collects the user's facial expressions and voice in real time using a camera and microphone. This data is analyzed by the emotion engine to recognize the user's emotional state. The input is facial expression and voice data, and the output is the recognized emotional state. Specific operations include collecting data from the camera and microphone and analyzing it using the emotion engine.

[0672] Step 5:

[0673] The device transmits the acquired emotional data to the server. The input is the recognized emotional state, and the output is the data to be transmitted to the server. A specific example of this operation is data transmission from the device to the server.

[0674] Step 6:

[0675] The server re-evaluates and decides on discount measures based on the acquired emotional data. This includes adjusting discount measures according to the emotional state. The input is emotional data and existing discount information, and the output is adjusted discount information. Specific operations include analyzing emotional data and re-evaluating discount information.

[0676] Step 7:

[0677] The server generates optimal discount information and transmits it to the terminal. The input is the adjusted discount information, and the output is the data to be transmitted to the terminal. A specific operation is the transmission of data from the server to the terminal.

[0678] Step 8:

[0679] The terminal displays the received discount information to the user. The information includes the total discount amount, a breakdown of the applied discount, the new payment amount, and a description of the discount policy based on sentiment analysis. The input is the received discount information, and the output is the content displayed to the user. Specific operations include displaying the information on the screen.

[0680] Step 9:

[0681] The user checks the displayed discount information and makes a final decision to purchase. Clicking the "Confirm Purchase" button will proceed with the purchase procedure. The input is the connected discount information, and the output is the purchase confirmation operation. Specific operations include the user's confirmation operation and the progress of the purchase procedure.

[0682] 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.

[0683] 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.

[0684] 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.

[0685] [Third embodiment]

[0686] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0687] 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.

[0688] 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).

[0689] 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.

[0690] 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.

[0691] 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).

[0692] 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.

[0693] 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.

[0694] 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.

[0695] 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.

[0696] 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.

[0697] 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."

[0698] In order to put this invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with each other. The operation of this system will now be explained in natural language.

[0699] First, when a user attempts to purchase a device through an online store, they select the device they want (for example, a smartphone or tablet). The device then sends information about the device selected by the user to the server. Specifically, the information sent includes the model name, price, user ID, etc. of the selected device.

[0700] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information. The purchase history includes records of devices and services the user has previously purchased, and the contract status includes the user's current contract plan and details.

[0701] The server then searches for multiple discounts based on the acquired information. For example, there are discounts for new buyers (10% off) and discounts for long-term contract holders (5% off). This search is performed by referencing the information in the database.

[0702] After the discount offers are retrieved, the server evaluates and determines the best discount based on the user's situation, which may include a combination of 10% off and 5% off for users who are both new buyers and long-term subscribers.

[0703] The server generates the evaluated and determined discount information and provides it to the user's device. For example, it may contain detailed information such as "total discount amount 15%, new purchase discount 10%, long-term contract discount 5%."

[0704] Finally, the terminal displays the offered discount information to the user, who can then review the information and choose whether to finalize the purchase. If the user wishes to proceed with the purchase, they can click the "Confirm Purchase" button.

[0705] As a specific example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and decides on a 10% discount for new purchasers and a 5% discount for long-term contract holders. It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user confirms the information and proceeds with the purchase at the discounted price.

[0706] In this way, users can easily check applicable discounts, and businesses can improve their closing rates.

[0707] The processing flow will be explained below.

[0708] Step 1:

[0709] A user accesses an online store and selects the device they wish to purchase. Device options include model, color variations, storage capacity, etc.

[0710] Step 2:

[0711] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[0712] Step 3:

[0713] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[0714] Step 4:

[0715] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0716] Step 5:

[0717] The server evaluates applicable discount policies based on the user's purchase history and contract status. For example, if the user is a new purchaser and has a long-term contract, it determines whether each discount policy is applicable.

[0718] Step 6:

[0719] The server determines and generates the optimal discount information based on the evaluation. For example, it generates the optimal discount information by combining a "10% discount for new buyers" and a "5% discount for long-term contract customers" to achieve a total discount of 15%.

[0720] Step 7:

[0721] The server sends the generated discount information to the terminal, including details of each discount applied (such as the discount rate and conditions), the total discount amount, and the new payment amount.

[0722] Step 8:

[0723] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the discounts applied, and the new payment amount.

[0724] Step 9:

[0725] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[0726] Through the above steps, the system allows users to easily check the discount information that applies to them and purchase a device under the most optimal conditions.

[0727] Example 1

[0728] 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."

[0729] In current online stores, it is difficult for users to quickly and accurately grasp applicable discount information. In particular, there is a lack of a way to optimally combine multiple discounts based on a user's purchase history and contract status, which reduces user convenience. In addition, businesses have limited means to improve conversion rates by offering appropriate discounts.

[0730] 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.

[0731] In this invention, the server includes means for a user to select information on an information processing device they wish to purchase, means for transmitting the selected information on the information processing device to a network device, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal cost reduction based on the user's situation, and means for providing the evaluated and determined cost reduction information to the user. This allows users to check applicable discounts without any effort, and enables businesses to improve their closing rates.

[0732] An "information processing device" is an electronic device that a user wishes to purchase, and includes, for example, a smartphone, a tablet, a laptop computer, and the like.

[0733] A "network device" is a communication device that connects a user's terminal with a server and has the function of sending and receiving data via the Internet.

[0734] "Purchase history" is a record of products and services purchased by a user in the past, and includes detailed information such as date, item, and price.

[0735] "Contract status" refers to details of the service plan and contract contents to which the user is currently subscribed, and includes information such as the contract start date, contract period, and service contents.

[0736] "Discount measures" are cost reduction measures that can be applied to users, and include specific discount rules such as discounts for new purchasers and discounts for long-term contract holders.

[0737] "Cost reduction" is a means of reducing the amount a user pays, and is achieved through discounts and special offers.

[0738] "Evaluation and Decision" refers to the process in which the server selects the most suitable discount based on the user's situation and determines the best discount information available to the user.

[0739] In order to put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. The operation of this system will now be described in detail.

[0740] User Roles

[0741] First, a user accesses the online store's website or application and selects the desired information processing device (e.g., a smartphone or tablet) from a list provided. Once the user completes their selection, the information is sent to the next process.

[0742] Device Role

[0743] The terminal collects detailed information (such as model name, price, and user ID) about the information processing device selected by the user and transmits it to the server via a network device. This transmission is generally performed using an HTTP request.

[0744] Server Roles

[0745] The server performs the following operations based on the information received from the device:

[0746] 1. Get user information from the database

[0747] The server queries an internal database to retrieve information such as a user's purchase history and contract status, using an SQL query to extract data associated with a specific user ID.

[0748] 2. Search for discount offers

[0749] The server searches for applicable discounts based on the information retrieved from the database, for example, checking whether discount rules such as discounts for new buyers or long-term contract holders apply.

[0750] 3. Discount evaluation and determination

[0751] The server evaluates and determines the best discounts available to the user based on the search results. For example, if a user is both a first-time buyer and a long-term subscriber, the respective discounts are added together to calculate the final discount amount.

[0752] 4. Generating and providing discount information

[0753] Based on the discount information evaluated and determined by the server, detailed discount information is generated in JSON format or similar and sent to the terminal via the network device.

[0754] Terminal Roles (cont.)

[0755] The terminal displays the discount information received from the server on the user interface. The user checks the discount details and selects whether to finalize the purchase. If the user decides to proceed with the purchase, he or she clicks the "Confirm Purchase" button to complete the purchase procedure.

[0756] Specific examples

[0757] For example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and determines the discounts for new purchasers (10%) and long-term contract holders (5%). It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user can confirm the information and proceed with the purchase process at the discounted price.

[0758] Prompt Sentence Examples

[0759] Below is an example of an input prompt for a generative AI model:

[0760] What are the details of the discounts available to me if I am a new buyer and have a long-term contract when purchasing a new smartphone from your online store?

[0761] By using this system, users can easily check applicable discounts, and businesses can also improve their closing rates.

[0762] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0763] Step 1:

[0764] A user selects an information processing device in an online store.

[0765] Specifically, a user uses the online store's web page or app to select the desired device from a list provided.

[0766] Input: Information on the information processing device that a user selects by interacting with a web page or app (e.g., model name, price, user ID).

[0767] Output: Information from the selected information processing device is acquired by the terminal.

[0768] Step 2:

[0769] The terminal transmits the selected information processing device information to the server via the network device.

[0770] Specifically, the operation involves sending information to a server using an HTTP request.

[0771] Input: Information on the information processing device obtained in step 1.

[0772] Output: The information is sent correctly to the server.

[0773] Step 3:

[0774] Based on the information received by the server, the user's purchase history and contract status are obtained from the database.

[0775] Specifically, the server issues an SQL query to retrieve purchase history and contract information associated with the user ID from the database.

[0776] Input: Information on the information processing device received in step 2 (especially the user ID).

[0777] Output: Purchase history and contract status data obtained.

[0778] Step 4:

[0779] Based on the information acquired by the server, applicable discount measures are searched for.

[0780] Specifically, the system extracts applicable discount measures from the database according to pre-set conditions and rules.

[0781] Input: Purchase history and contract status data obtained in Step 3.

[0782] Output: A list of applicable discount offers.

[0783] Step 5:

[0784] The server evaluates the discount offers and determines the best discount for the user.

[0785] As a specific operation, for example, the discounts for new purchasers and long-term contract holders are combined and the total discount amount is calculated.

[0786] Input: The list of discount offers obtained in step 4.

[0787] Output: User-optimized discount information (e.g. total discount amount, details of each discount).

[0788] Step 6:

[0789] The server generates the evaluated and determined discount information and transmits it to the terminal.

[0790] Specifically, the discount information is converted into JSON format and sent to the terminal using an HTTP response.

[0791] Input: The optimal discount information created in step 5.

[0792] Output: The generated discount information is provided to the terminal.

[0793] Step 7:

[0794] The terminal displays the discount information received from the server on a user interface.

[0795] Specifically, discount information is displayed on the screen using HTML and JavaScript.

[0796] Input: The discount information received in step 6.

[0797] Output: Display of discount information in a form that can be viewed by the user.

[0798] Step 8:

[0799] The user checks the displayed discount information and, if he / she decides to make a final purchase, clicks the "Confirm Purchase" button.

[0800] Specifically, a purchase confirmation click event is triggered, and the necessary processing is performed to proceed with the purchase.

[0801] Input: The user clicks the "Confirm Purchase" button.

[0802] Output: Final checkout completed.

[0803] (Application example 1)

[0804] 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."

[0805] In traditional online stores, users had to manually search for applicable discounts, which was time-consuming and laborious. Furthermore, when there were multiple discount measures, it was difficult to determine the optimal combination of discounts, and users sometimes did not receive the maximum discount. These issues worsened the user experience and were a factor in lowering the conversion rate for businesses.

[0806] 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.

[0807] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's status, means for providing the evaluated and determined discount information to the user and displaying it on the device, means for visually presenting the total discount amount and detailed discount information to the user, and means for displaying on various devices (smartphones, tablets, etc.).This allows users to easily obtain optimal discount information and enjoy the maximum applicable discount.

[0808] "User" refers to a consumer or customer who wishes to make a purchase from the online store.

[0809] "Terminal" refers to electronic devices such as smartphones and tablets.

[0810] A "server" refers to a computer system installed in a cloud or data center that manages communications with users and processes information.

[0811] "Purchase history" refers to a record of products and services purchased by a user in the past.

[0812] "Contract status" refers to the contract plan to which the user is currently subscribed and its detailed information.

[0813] "Discount measures" refer to methods and rules for providing price discounts to users who meet certain conditions, such as discounts for new purchasers or long-term contract holders.

[0814] "Evaluation and decision" refers to the process of considering multiple discount measures and selecting the most suitable discount for the user.

[0815] "Visual presentation means" refers to a method of using the device's display to display information in a way that is easily recognizable to the user.

[0816] "Various devices" refers to different types of electronic devices (e.g., smartphones, tablets, laptops, etc.).

[0817] "Total Discount Amount" means the final discount amount obtained by adding together any applicable discounts.

[0818] "Detailed discount information" refers to specific information such as the type of individual discount, the discount rate, and applicable conditions.

[0819] To put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. A specific embodiment of this system will be described in detail below.

[0820] First, a user selects the device they wish to purchase (e.g., a smartphone or tablet) at the online store. The device then sends the selected device information (model name, price, user ID, etc.) to the server. The server receives this information and retrieves the user's past purchase history and current contract status from a database.

[0821] The server then searches the database for multiple discount offers (e.g., discounts for new buyers and long-term contract holders) and evaluates and determines the most appropriate discount based on the user's circumstances. This evaluation includes considering how to combine multiple discounts. For example, if the user is new and has a contract period of 3 years or more, the server combines a 10% new buyer discount with a 5% long-term contract discount.

[0822] The evaluated and determined discount information (total discount amount and detailed information for each discount) is sent from the server to the terminal and visually presented to the user. This allows the user to easily check the optimal discount information and proceed with the purchase procedure at the applied discount amount.

[0823] The system uses the following hardware and software:

[0824] Hardware: smartphones, tablets, servers

[0825] Software: RESTful API, database management system, user interface

[0826] Data processing and calculations are performed in the following order:

[0827] 1. Data collection: The server collects the device information received from the user and retrieves the necessary data from the database.

[0828] 2. Discount search: Search various discount information in the database and identify discounts that are appropriate for the user's situation.

[0829] 3. Discount evaluation and decision: Evaluate the discount combinations to be adopted and calculate the total discount amount.

[0830] 4. Information provision: Discount information is sent to the terminal and presented to the user.

[0831] For example:

[0832] For example, if a new customer with a contract term of three years or more tries to purchase a specific smartphone, the server will calculate a total discount of 15%, applying a 10% discount for new customers and a 5% discount for long-term customers, and send this information to the device. This allows the user to easily check the discount information that best suits them and proceed with the purchase process.

[0833] An example prompt is:

[0834] User ID: 12345, Product ID: 67890 is being considered for purchase. This user is a new purchaser with a contract period of 3 years or more. Please generate the optimal discount information applicable to this user.

[0835] In this way, the system allows users to easily enjoy the maximum discount that can be applied, and also allows businesses to improve their closing rates.

[0836] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0837] Step 1:

[0838] The user selects the device they wish to purchase from the online store.

[0839] Input: User device selection (e.g. smartphone model name, price, user ID)

[0840] How it works: A user selects a device through the online store's UI and clicks a dedicated button, which saves the selection internally to the device.

[0841] Output: Selected device information stored on the device

[0842] Step 2:

[0843] The terminal transmits the selected terminal information to the server.

[0844] Input: Device information selected by the user

[0845] How it works: The device sends the selected device information (model name, price, user ID) to the server via the backend API.

[0846] Output: Device information sent to the server

[0847] Step 3:

[0848] The server obtains the user's purchase history and contract status from a database.

[0849] Input: User ID

[0850] Operation: The server uses the received user ID to query the database, obtaining the user's purchase history and contract status as query results.

[0851] Output: Purchase history and contract status data

[0852] Step 4:

[0853] The server searches a database for multiple discount measures and evaluates and determines the optimal discount based on the user's situation.

[0854] Input: Purchase history, contract status, and device information

[0855] Operation: The server retrieves multiple discount offers (e.g., discounts for new purchasers, discounts for long-term contract holders) from the database, compares them with the user's purchase history and contract status, selects applicable discount offers, and calculates the total discount amount.

[0856] Output: Optimal discount information (e.g. total discount amount, detailed discount information)

[0857] Step 5:

[0858] The evaluated and determined discount information is sent to the terminal and visually presented to the user.

[0859] Enter: Best Discounts

[0860] How it works: The server sends the best discount information to the device, which then visually displays the received information on the UI, including the total discount amount and a detailed discount description.

[0861] Output: Discount information displayed on the terminal

[0862] Step 6:

[0863] The user makes the final purchase decision and completes the purchase process.

[0864] Input: Purchase confirmation information including discount information

[0865] How it works: The user checks the displayed discount information and clicks the Confirm Purchase button, which initiates the final purchase process and sends the purchase confirmation to the server.

[0866] Output: Purchase confirmation sent to the server

[0867] Through this series of processes, users can enjoy optimal discounts without any hassle, while businesses can improve the user experience and increase their conversion rates.

[0868] 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.

[0869] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[0870] First, a user accesses an online store and selects the device (e.g., a smartphone or tablet) they wish to purchase. The device selection includes information such as the model, color options, and storage capacity. The information selected by the user is sent to the server by the device. The information sent includes the selected model, color options, storage capacity, price, and user ID.

[0871] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0872] The emotion engine begins the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0873] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[0874] The server generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[0875] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[0876] As a concrete example, consider a case where a new customer with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for new customer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price.

[0877] In this way, users can obtain optimal discount information based on their emotional state in real time, and the system allows businesses to improve their closing rates.

[0878] The processing flow will be explained below.

[0879] Step 1:

[0880] A user accesses an online store and selects the device they wish to purchase, including information such as model, color, and storage capacity.

[0881] Step 2:

[0882] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[0883] Step 3:

[0884] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[0885] Step 4:

[0886] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0887] Step 5:

[0888] The device uses a camera and microphone to collect the user's facial expressions and voice data, and obtains emotion data in real time, which is then sent to the emotion engine.

[0889] Step 6:

[0890] The emotion engine analyzes the acquired facial expressions and voice data to recognize the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0891] Step 7:

[0892] The server evaluates and decides on discount measures based on the emotional data it acquires. For example, if a user is feeling anxious, it will present a special promotion and make adjustments to increase purchasing motivation.

[0893] Step 8:

[0894] The server generates optimal discount information based on the evaluation and sends it to the terminal, including details of each discount applied, the total discount amount, and the new payment amount.

[0895] Step 9:

[0896] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the applied discount, the new payment amount, and special offers based on sentiment analysis.

[0897] Step 10:

[0898] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[0899] As a specific example, consider a case where a new buyer with a contract term of three years or more is trying to purchase an iPhone 13 Pro. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special 12% discount and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price. In this way, the system allows users to obtain optimal discount information based on their emotional state in real time, and businesses can also improve their conversion rates.

[0900] Example 2

[0901] 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."

[0902] Conventional online store systems could offer discounts based on users' purchase records and contract information, but they were unable to offer adaptive discounts that took into account the user's emotional state. This made it difficult to maximize users' purchasing motivation, limiting the improvement of the closing rate.

[0903] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to select device information that the user wishes to purchase, a means for transmitting the selected device information to the information processing device, a means for acquiring the user's purchase record and contract information, a means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's status, a means for providing the evaluated and determined discount information to the user, a means for recognizing the user's emotional state, and a means for adjusting the discount measure according to the user's emotional state. This makes it possible to provide optimal discount information based on the user's emotions in real time, thereby improving the success rate.

[0904] "User" refers to an individual who uses this system to conduct purchasing activities.

[0905] "Device information" refers to the model, color variations, storage capacity, price, and other related information of the terminal that the user wishes to purchase.

[0906] "Information processing device" refers to a server or computer system that receives and analyzes data entered by a user and performs appropriate processing.

[0907] "Purchase records" refers to historical information about devices and services that a user has purchased in the past.

[0908] "Contract information" refers to the contract plan to which the user is currently subscribed and its detailed information.

[0909] "Discount measures" refer to the various types and conditions of discounts applied at the time of purchase.

[0910] "Emotional state" refers to the psychological state (e.g., joy, surprise, anxiety) analyzed from the user's facial expressions and voice data.

[0911] "Means for evaluation and decision making" refers to the process of calculating and determining the optimal discount based on the user's purchase record, contract information and emotional state.

[0912] "Means of providing" refers to the method for communicating the evaluated and determined discount information to the user.

[0913] "Adjustment" refers to the process of changing and applying discount measures according to the user's emotional state.

[0914] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine. The detailed configuration and operation of this system are described below.

[0915] A user accesses an online store using a smartphone or tablet. They display the store page using a browser and select the device they wish to purchase (e.g., a smartphone or tablet). The device information they select includes the model, color, storage capacity, etc. For example, a user can select "iPhone 13 Pro, Silver, 256GB."

[0916] The device sends this information entered by the user to the server as an HTTP request, typically using a RESTful API and organizing the data in JSON format.

[0917] Next, the server retrieves the user's purchase record and contract information from a database (e.g., MySQL) based on the received device information and user ID. The purchase record contains details of previously purchased devices and services, and the contract information contains the current contract plan and its contents. This information is retrieved using an SQL query.

[0918] The server references the discount information in the database based on the acquired user information. Discounts include discounts for new purchasers, discounts for long-term contract holders, promotions for specific devices, etc. It uses an SQL query to search for currently applicable discounts and temporarily stores the results in memory.

[0919] The emotion engine starts the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expression and voice data in real time. This data is sent from the device to the server using WebRTC technology. The server uses an emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) to analyze the facial expression and voice data and recognize the user's emotional state (e.g., joy, surprise, anxiety). The analyzed data is saved in JSON format.

[0920] The server evaluates and decides on discount measures based on the acquired emotional data. It uses an evaluation algorithm (e.g., decision tree or random forest) to provide special discounts according to the user's emotional state. For example, if the user is in an anxious state, it will adjust the offer to present a special promotion to increase their motivation to purchase.

[0921] The server then generates the optimal discount information, including details of each discount applied (e.g., discount rate, conditions), the total discount amount, and the new payment amount. The generated discount information is sent to the terminal as an HTTP response. The data is sent in JSON format.

[0922] The terminal displays the received discount information to the user. Here, JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user checks the displayed discount information and proceeds with the purchase by clicking the "Confirm Purchase" button. Once the purchase process is complete, the server sends a confirmation email to the user.

[0923] Specific examples

[0924] For example, consider a case where a user is a new buyer with a contract term of 3 years or more and wants to purchase an iPhone 13 Pro. In this case, the server searches and evaluates new buyer discounts (e.g., 10% off) and long-term contract discounts (e.g., 5% off). If the emotion engine recognizes the user's "happiness" state, it applies an additional special discount (e.g., 2% off). Finally, the server calculates the total discount rate (e.g., 17% off) and presents the new payment amount (e.g., $1,200 - $996).

[0925] Prompt Sentence Examples

[0926] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[0927] In this way, users can obtain optimal discount information based on their emotional state in real time, and businesses can also improve their closing rates.

[0928] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0929] Processing Steps

[0930] Step 1:

[0931] A user accesses an online store and selects the device they wish to purchase (e.g., smartphone, tablet) via a browser. Device information such as the model, color variation, and storage capacity is entered. For example, the input data is "iPhone 13 Pro, silver, 256GB, price $1,200, user ID 12345."

[0932] Step 2:

[0933] The device sends the device information entered by the user to the server in JSON format as an HTTP request. The sent data is as follows, for example:

[0934] json

[0935] {

[0936] "Model": "iPhone 13 Pro",

[0937] "Color Variation": "Silver",

[0938] "Storage capacity": "256GB",

[0939] "Price": "$1200",

[0940] "User ID": "12345"

[0941] }

[0942] The specific operation of the terminal is to send data to the server using a RESTful API.

[0943] Step 3:

[0944] The server uses an SQL query to retrieve the user's purchase record and contract information from the database based on the received device information and user ID. "User ID 12345" is used as input, and past purchase history and current contract information are obtained as output. Specific operations include executing the SQL query and analyzing the results.

[0945] Step 4:

[0946] The server references discount information in the database based on the acquired user information. The search target changes depending on purchase history and contract information. For example, it searches for information such as discounts for new buyers, discounts for long-term contract holders, and promotions for specific devices using an SQL query, and temporarily stores the results in memory. The input is purchase records and contract information, and the output is a list of applicable discounts.

[0947] Step 5:

[0948] The emotion engine starts the emotion recognition process. The device uses the camera and microphone to collect the user's facial expression and voice data, and sends the data to the server in real time using WebRTC technology. The input data is the captured image and voice data, and the emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) is used for analysis. The analysis results are sent to the server in JSON format.

[0949] Step 6:

[0950] The server evaluates and decides on discount measures based on the received emotional data. Algorithms such as decision trees and random forests are used for the evaluation. For example, if the user's emotional state is determined to be "joyful," adjustments are made such as applying a 10% discount for new buyers, a 5% discount for long-term subscribers, and an additional 2% special discount. The inputs are emotional data and a list of discount measures, and the output is the optimal discount measure.

[0951] Step 7:

[0952] The server generates optimal discount information based on the evaluated discount measures. Specifically, it includes details of the applied discount (e.g., discount rate, conditions), total discount amount, and new payment amount. The generated discount information is sent to the terminal as an HTTP response in JSON format, for example, as shown below.

[0953] json

[0954] {

[0955] "Total Discount Rate": "17%",

[0956] "Total Discount": "$204",

[0957] "New payment amount": "$996",

[0958] "Discount Details": {

[0959] "New Buyer Discount": "10%",

[0960] "Long-term contract discount": "5%",

[0961] "Special Discount": "2%"

[0962] }

[0963] }

[0964] Specifically, calculations and data generation are performed based on the evaluation results, and the results are transmitted.

[0965] Step 8:

[0966] The terminal displays the received discount information to the user. JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user then checks the displayed discount information and clicks the "Confirm Purchase" button to proceed with the purchase. A purchase procedure request is sent to the server, and the purchase process is completed on the server. After the process is complete, the server sends a confirmation email to the user. The input is the discount information, and the output is the final purchase confirmation and notification.

[0967] Prompt Sentence Examples

[0968] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[0969] (Application example 2)

[0970] 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."

[0971] Conventional online shopping sites offer discounts based on users' past purchase history and contract status, but this approach may not maximize users' purchasing motivation. It is known that a user's emotional state significantly influences their purchasing decisions, and discount measures that take emotions into account are needed. However, current systems have difficulty analyzing a user's emotional state in real time and offering optimal discounts based on that analysis. Therefore, a key challenge is to develop a system that provides discount information based on a user's emotional state and enhances their purchasing motivation.

[0972] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0973] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's situation, means for providing the evaluated and determined discount information to the user, means for acquiring emotion data using an emotion engine that recognizes the user's emotional state, means for adjusting the discount measures based on the emotion data, and means for transmitting the acquired emotion data and the adjusted discount measures to the server. This makes it possible to provide optimal discount information based on the user's emotional state in real time, thereby increasing purchasing motivation.

[0974] "User" means any individual or entity that accesses the System to use a product or service.

[0975] "Information about the device desired to be purchased" is information about the product the user wishes to purchase, specifically including details such as the model, color variations, storage capacity, and price.

[0976] A "server" is a computer system that works in conjunction with terminals via a network and stores and processes data.

[0977] "Purchase History" refers to a record of products and services purchased by a User in the past.

[0978] "Contract status" refers to the contract plan to which the user is currently subscribed and detailed information about it.

[0979] "Discount measures" refer to price discounts and special offers applied to promote products.

[0980] An "emotion engine" is a system that analyzes a user's facial expressions and voice data to recognize the user's emotional state.

[0981] "Emotion data" refers to data relating to the user's emotional state obtained through analysis by the emotion engine.

[0982] "Tailored discounts" refers to discounts and promotions that are optimized based on emotional data.

[0983] The "means of provision" refers to the part that has the function of displaying the evaluated and determined discount information to the user.

[0984] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[0985] First, a user accesses a smartphone mail-order application and selects the device information (e.g., model, color variations, storage capacity, etc.) they wish to purchase. The selected information is sent from the device to the server. The sent information includes the selected model, color variations, storage capacity, price, user ID, etc.

[0986] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[0987] The emotion engine then begins the emotion recognition process. The device is equipped with a smartphone camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[0988] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[0989] The server then generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[0990] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[0991] As a concrete example, consider the case where a new user with a contract term of three years or more is about to purchase a smartphone. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and decides on them. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase procedure at the discounted price.

[0992] Example prompts for generative AI models

[0993] "What discount promotions work if users look anxious?"

[0994] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0995] Step 1:

[0996] The user operates the device to select the device information they wish to purchase. This information includes the model, color variations, storage capacity, price, and user ID. The device sends the selected information to the server. The input is the user's device information, and the output is the data sent to the server. Specific operations include the user's selection operation and the device sending the data.

[0997] Step 2:

[0998] The server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The input is device information and user ID, and the output is the retrieved purchase history and contract status data. Specific operations include querying the server's database and retrieving information.

[0999] Step 3:

[1000] The server searches multiple discount measures in the database based on the acquired purchase history and contract status, and evaluates and decides on the optimal discount based on the user's situation. The input is purchase history and contract status data, and the output is the evaluated and decided discount information. Specific operations include the server searching for and evaluating discount measures.

[1001] Step 4:

[1002] The device activates the emotion engine and collects the user's facial expressions and voice in real time using a camera and microphone. This data is analyzed by the emotion engine to recognize the user's emotional state. The input is facial expression and voice data, and the output is the recognized emotional state. Specific operations include collecting data from the camera and microphone and analyzing it using the emotion engine.

[1003] Step 5:

[1004] The device transmits the acquired emotional data to the server. The input is the recognized emotional state, and the output is the data to be transmitted to the server. A specific example of this operation is data transmission from the device to the server.

[1005] Step 6:

[1006] The server re-evaluates and decides on discount measures based on the acquired emotional data. This includes adjusting discount measures according to the emotional state. The input is emotional data and existing discount information, and the output is adjusted discount information. Specific operations include analyzing emotional data and re-evaluating discount information.

[1007] Step 7:

[1008] The server generates optimal discount information and transmits it to the terminal. The input is the adjusted discount information, and the output is the data to be transmitted to the terminal. A specific operation is the transmission of data from the server to the terminal.

[1009] Step 8:

[1010] The terminal displays the received discount information to the user. The information includes the total discount amount, a breakdown of the applied discount, the new payment amount, and a description of the discount policy based on sentiment analysis. The input is the received discount information, and the output is the content displayed to the user. Specific operations include displaying the information on the screen.

[1011] Step 9:

[1012] The user checks the displayed discount information and makes a final decision to purchase. Clicking the "Confirm Purchase" button will proceed with the purchase procedure. The input is the connected discount information, and the output is the purchase confirmation operation. Specific operations include the user's confirmation operation and the progress of the purchase procedure.

[1013] 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.

[1014] 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.

[1015] 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.

[1016] [Fourth embodiment]

[1017] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1018] 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.

[1019] 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).

[1020] 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.

[1021] 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.

[1022] 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).

[1023] 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.

[1024] 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.

[1025] 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.

[1026] 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.

[1027] 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.

[1028] 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.

[1029] 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."

[1030] In order to put this invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with each other. The operation of this system will now be explained in natural language.

[1031] First, when a user attempts to purchase a device through an online store, they select the device they want (for example, a smartphone or tablet). The device then sends information about the device selected by the user to the server. Specifically, the information sent includes the model name, price, user ID, etc. of the selected device.

[1032] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information. The purchase history includes records of devices and services the user has previously purchased, and the contract status includes the user's current contract plan and details.

[1033] The server then searches for multiple discounts based on the acquired information. For example, there are discounts for new buyers (10% off) and discounts for long-term contract holders (5% off). This search is performed by referencing the information in the database.

[1034] After the discount offers are retrieved, the server evaluates and determines the best discount based on the user's situation, which may include a combination of 10% off and 5% off for users who are both new buyers and long-term subscribers.

[1035] The server generates the evaluated and determined discount information and provides it to the user's device. For example, it may contain detailed information such as "total discount amount 15%, new purchase discount 10%, long-term contract discount 5%."

[1036] Finally, the terminal displays the offered discount information to the user, who can then review the information and choose whether to finalize the purchase. If the user wishes to proceed with the purchase, they can click the "Confirm Purchase" button.

[1037] As a specific example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and decides on a 10% discount for new purchasers and a 5% discount for long-term contract holders. It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user confirms the information and proceeds with the purchase at the discounted price.

[1038] In this way, users can easily check applicable discounts, and businesses can improve their closing rates.

[1039] The processing flow will be explained below.

[1040] Step 1:

[1041] A user accesses an online store and selects the device they wish to purchase. Device options include model, color variations, storage capacity, etc.

[1042] Step 2:

[1043] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[1044] Step 3:

[1045] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[1046] Step 4:

[1047] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[1048] Step 5:

[1049] The server evaluates applicable discount policies based on the user's purchase history and contract status. For example, if the user is a new purchaser and has a long-term contract, it determines whether each discount policy is applicable.

[1050] Step 6:

[1051] The server determines and generates the optimal discount information based on the evaluation. For example, it generates the optimal discount information by combining a "10% discount for new buyers" and a "5% discount for long-term contract customers" to achieve a total discount of 15%.

[1052] Step 7:

[1053] The server sends the generated discount information to the terminal, including details of each discount applied (such as the discount rate and conditions), the total discount amount, and the new payment amount.

[1054] Step 8:

[1055] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the discounts applied, and the new payment amount.

[1056] Step 9:

[1057] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[1058] Through the above steps, the system allows users to easily check the discount information that applies to them and purchase a device under the most optimal conditions.

[1059] Example 1

[1060] 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."

[1061] In current online stores, it is difficult for users to quickly and accurately grasp applicable discount information. In particular, there is a lack of a way to optimally combine multiple discounts based on a user's purchase history and contract status, which reduces user convenience. In addition, businesses have limited means to improve conversion rates by offering appropriate discounts.

[1062] 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.

[1063] In this invention, the server includes means for a user to select information on an information processing device they wish to purchase, means for transmitting the selected information on the information processing device to a network device, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal cost reduction based on the user's situation, and means for providing the evaluated and determined cost reduction information to the user. This allows users to check applicable discounts without any effort, and enables businesses to improve their closing rates.

[1064] An "information processing device" is an electronic device that a user wishes to purchase, and includes, for example, a smartphone, a tablet, a laptop computer, and the like.

[1065] A "network device" is a communication device that connects a user's terminal with a server and has the function of sending and receiving data via the Internet.

[1066] "Purchase history" is a record of products and services purchased by a user in the past, and includes detailed information such as date, item, and price.

[1067] "Contract status" refers to details of the service plan and contract contents to which the user is currently subscribed, and includes information such as the contract start date, contract period, and service contents.

[1068] "Discount measures" are cost reduction measures that can be applied to users, and include specific discount rules such as discounts for new purchasers and discounts for long-term contract holders.

[1069] "Cost reduction" is a means of reducing the amount a user pays, and is achieved through discounts and special offers.

[1070] "Evaluation and Decision" refers to the process in which the server selects the most suitable discount based on the user's situation and determines the best discount information available to the user.

[1071] In order to put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. The operation of this system will now be described in detail.

[1072] User Roles

[1073] First, a user accesses the online store's website or application and selects the desired information processing device (e.g., a smartphone or tablet) from a list provided. Once the user completes their selection, the information is sent to the next process.

[1074] Device Role

[1075] The terminal collects detailed information (such as model name, price, and user ID) about the information processing device selected by the user and transmits it to the server via a network device. This transmission is generally performed using an HTTP request.

[1076] Server Roles

[1077] The server performs the following operations based on the information received from the device:

[1078] 1. Get user information from the database

[1079] The server queries an internal database to retrieve information such as a user's purchase history and contract status, using an SQL query to extract data associated with a specific user ID.

[1080] 2. Search for discount offers

[1081] The server searches for applicable discounts based on the information retrieved from the database, for example, checking whether discount rules such as discounts for new buyers or long-term contract holders apply.

[1082] 3. Discount evaluation and determination

[1083] The server evaluates and determines the best discounts available to the user based on the search results. For example, if a user is both a first-time buyer and a long-term subscriber, the respective discounts are added together to calculate the final discount amount.

[1084] 4. Generating and providing discount information

[1085] Based on the discount information evaluated and determined by the server, detailed discount information is generated in JSON format or similar and sent to the terminal via the network device.

[1086] Terminal Roles (cont.)

[1087] The terminal displays the discount information received from the server on the user interface. The user checks the discount details and selects whether to finalize the purchase. If the user decides to proceed with the purchase, he or she clicks the "Confirm Purchase" button to complete the purchase procedure.

[1088] Specific examples

[1089] For example, consider a case where a new purchaser with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for, evaluates, and determines the discounts for new purchasers (10%) and long-term contract holders (5%). It then generates discount information applying a total discount of 15%, sends it to the device, and displays it to the user. The user can confirm the information and proceed with the purchase process at the discounted price.

[1090] Prompt Sentence Examples

[1091] Below is an example of an input prompt for a generative AI model:

[1092] What are the details of the discounts available to me if I am a new buyer and have a long-term contract when purchasing a new smartphone from your online store?

[1093] By using this system, users can easily check applicable discounts, and businesses can also improve their closing rates.

[1094] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1095] Step 1:

[1096] A user selects an information processing device in an online store.

[1097] Specifically, a user uses the online store's web page or app to select the desired device from a list provided.

[1098] Input: Information on the information processing device that a user selects by interacting with a web page or app (e.g., model name, price, user ID).

[1099] Output: Information from the selected information processing device is acquired by the terminal.

[1100] Step 2:

[1101] The terminal transmits the selected information processing device information to the server via the network device.

[1102] Specifically, the operation involves sending information to a server using an HTTP request.

[1103] Input: Information on the information processing device obtained in step 1.

[1104] Output: The information is sent correctly to the server.

[1105] Step 3:

[1106] Based on the information received by the server, the user's purchase history and contract status are obtained from the database.

[1107] Specifically, the server issues an SQL query to retrieve purchase history and contract information associated with the user ID from the database.

[1108] Input: Information on the information processing device received in step 2 (especially the user ID).

[1109] Output: Purchase history and contract status data obtained.

[1110] Step 4:

[1111] Based on the information acquired by the server, applicable discount measures are searched for.

[1112] Specifically, the system extracts applicable discount measures from the database according to pre-set conditions and rules.

[1113] Input: Purchase history and contract status data obtained in Step 3.

[1114] Output: A list of applicable discount offers.

[1115] Step 5:

[1116] The server evaluates the discount offers and determines the best discount for the user.

[1117] As a specific operation, for example, the discounts for new purchasers and long-term contract holders are combined and the total discount amount is calculated.

[1118] Input: The list of discount offers obtained in step 4.

[1119] Output: User-optimized discount information (e.g. total discount amount, details of each discount).

[1120] Step 6:

[1121] The server generates the evaluated and determined discount information and transmits it to the terminal.

[1122] Specifically, the discount information is converted into JSON format and sent to the terminal using an HTTP response.

[1123] Input: The optimal discount information created in step 5.

[1124] Output: The generated discount information is provided to the terminal.

[1125] Step 7:

[1126] The terminal displays the discount information received from the server on a user interface.

[1127] Specifically, discount information is displayed on the screen using HTML and JavaScript.

[1128] Input: The discount information received in step 6.

[1129] Output: Display of discount information in a form that can be viewed by the user.

[1130] Step 8:

[1131] The user checks the displayed discount information and, if he / she decides to make a final purchase, clicks the "Confirm Purchase" button.

[1132] Specifically, a purchase confirmation click event is triggered, and the necessary processing is performed to proceed with the purchase.

[1133] Input: The user clicks the "Confirm Purchase" button.

[1134] Output: Final checkout completed.

[1135] (Application example 1)

[1136] 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."

[1137] In traditional online stores, users had to manually search for applicable discounts, which was time-consuming and laborious. Furthermore, when there were multiple discount measures, it was difficult to determine the optimal combination of discounts, and users sometimes did not receive the maximum discount. These issues worsened the user experience and were a factor in lowering the conversion rate for businesses.

[1138] 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.

[1139] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's status, means for providing the evaluated and determined discount information to the user and displaying it on the device, means for visually presenting the total discount amount and detailed discount information to the user, and means for displaying on various devices (smartphones, tablets, etc.).This allows users to easily obtain optimal discount information and enjoy the maximum applicable discount.

[1140] "User" refers to a consumer or customer who wishes to make a purchase from the online store.

[1141] "Terminal" refers to electronic devices such as smartphones and tablets.

[1142] A "server" refers to a computer system installed in a cloud or data center that manages communications with users and processes information.

[1143] "Purchase history" refers to a record of products and services purchased by a user in the past.

[1144] "Contract status" refers to the contract plan to which the user is currently subscribed and its detailed information.

[1145] "Discount measures" refer to methods and rules for providing price discounts to users who meet certain conditions, such as discounts for new purchasers or long-term contract holders.

[1146] "Evaluation and decision" refers to the process of considering multiple discount measures and selecting the most suitable discount for the user.

[1147] "Visual presentation means" refers to a method of using the device's display to display information in a way that is easily recognizable to the user.

[1148] "Various devices" refers to different types of electronic devices (e.g., smartphones, tablets, laptops, etc.).

[1149] "Total Discount Amount" means the final discount amount obtained by adding together any applicable discounts.

[1150] "Detailed discount information" refers to specific information such as the type of individual discount, the discount rate, and applicable conditions.

[1151] To put the present invention into practice, it is necessary to build a system in which users, terminals, and servers work in cooperation with one another. A specific embodiment of this system will be described in detail below.

[1152] First, a user selects the device they wish to purchase (e.g., a smartphone or tablet) at the online store. The device then sends the selected device information (model name, price, user ID, etc.) to the server. The server receives this information and retrieves the user's past purchase history and current contract status from a database.

[1153] The server then searches the database for multiple discount offers (e.g., discounts for new buyers and long-term contract holders) and evaluates and determines the most appropriate discount based on the user's circumstances. This evaluation includes considering how to combine multiple discounts. For example, if the user is new and has a contract period of 3 years or more, the server combines a 10% new buyer discount with a 5% long-term contract discount.

[1154] The evaluated and determined discount information (total discount amount and detailed information for each discount) is sent from the server to the terminal and visually presented to the user. This allows the user to easily check the optimal discount information and proceed with the purchase procedure at the applied discount amount.

[1155] The system uses the following hardware and software:

[1156] Hardware: smartphones, tablets, servers

[1157] Software: RESTful API, database management system, user interface

[1158] Data processing and calculations are performed in the following order:

[1159] 1. Data collection: The server collects the device information received from the user and retrieves the necessary data from the database.

[1160] 2. Discount search: Search various discount information in the database and identify discounts that are appropriate for the user's situation.

[1161] 3. Discount evaluation and decision: Evaluate the discount combinations to be adopted and calculate the total discount amount.

[1162] 4. Information provision: Discount information is sent to the terminal and presented to the user.

[1163] For example:

[1164] For example, if a new customer with a contract term of three years or more tries to purchase a specific smartphone, the server will calculate a total discount of 15%, applying a 10% discount for new customers and a 5% discount for long-term customers, and send this information to the device. This allows the user to easily check the discount information that best suits them and proceed with the purchase process.

[1165] An example prompt is:

[1166] User ID: 12345, Product ID: 67890 is being considered for purchase. This user is a new purchaser with a contract period of 3 years or more. Please generate the optimal discount information applicable to this user.

[1167] In this way, the system allows users to easily enjoy the maximum discount that can be applied, and also allows businesses to improve their closing rates.

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

[1169] Step 1:

[1170] The user selects the device they wish to purchase from the online store.

[1171] Input: User device selection (e.g. smartphone model name, price, user ID)

[1172] How it works: A user selects a device through the online store's UI and clicks a dedicated button, which saves the selection internally to the device.

[1173] Output: Selected device information stored on the device

[1174] Step 2:

[1175] The terminal transmits the selected terminal information to the server.

[1176] Input: Device information selected by the user

[1177] How it works: The device sends the selected device information (model name, price, user ID) to the server via the backend API.

[1178] Output: Device information sent to the server

[1179] Step 3:

[1180] The server obtains the user's purchase history and contract status from a database.

[1181] Input: User ID

[1182] Operation: The server uses the received user ID to query the database, obtaining the user's purchase history and contract status as query results.

[1183] Output: Purchase history and contract status data

[1184] Step 4:

[1185] The server searches a database for multiple discount measures and evaluates and determines the optimal discount based on the user's situation.

[1186] Input: Purchase history, contract status, and device information

[1187] Operation: The server retrieves multiple discount offers (e.g., discounts for new purchasers, discounts for long-term contract holders) from the database, compares them with the user's purchase history and contract status, selects applicable discount offers, and calculates the total discount amount.

[1188] Output: Optimal discount information (e.g. total discount amount, detailed discount information)

[1189] Step 5:

[1190] The evaluated and determined discount information is sent to the terminal and visually presented to the user.

[1191] Enter: Best Discounts

[1192] How it works: The server sends the best discount information to the device, which then visually displays the received information on the UI, including the total discount amount and a detailed discount description.

[1193] Output: Discount information displayed on the terminal

[1194] Step 6:

[1195] The user makes the final purchase decision and completes the purchase process.

[1196] Input: Purchase confirmation information including discount information

[1197] How it works: The user checks the displayed discount information and clicks the Confirm Purchase button, which initiates the final purchase process and sends the purchase confirmation to the server.

[1198] Output: Purchase confirmation sent to the server

[1199] Through this series of processes, users can enjoy optimal discounts without any hassle, while businesses can improve the user experience and increase their conversion rates.

[1200] 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.

[1201] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[1202] First, a user accesses an online store and selects the device (e.g., a smartphone or tablet) they wish to purchase. The device selection includes information such as the model, color options, and storage capacity. The information selected by the user is sent to the server by the device. The information sent includes the selected model, color options, storage capacity, price, and user ID.

[1203] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[1204] The emotion engine begins the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[1205] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[1206] The server generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[1207] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[1208] As a concrete example, consider a case where a new customer with a contract term of three years or more is purchasing an iPhone 13 Pro. In this case, the server searches for new customer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price.

[1209] In this way, users can obtain optimal discount information based on their emotional state in real time, and the system allows businesses to improve their closing rates.

[1210] The processing flow will be explained below.

[1211] Step 1:

[1212] A user accesses an online store and selects the device they wish to purchase, including information such as model, color, and storage capacity.

[1213] Step 2:

[1214] The device sends the device information selected by the user to the server, including the selected model, color variations, storage capacity, price, and user ID.

[1215] Step 3:

[1216] Based on the device information and user ID received by the server, the server retrieves the user's purchase history and contract status from the database. The purchase history includes information on devices and services purchased in the past, while the contract status includes the current contract plan name, contract period, payment status, etc.

[1217] Step 4:

[1218] The server references the discount information in the database and searches for currently available discounts, including discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[1219] Step 5:

[1220] The device uses a camera and microphone to collect the user's facial expressions and voice data, and obtains emotion data in real time, which is then sent to the emotion engine.

[1221] Step 6:

[1222] The emotion engine analyzes the acquired facial expressions and voice data to recognize the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[1223] Step 7:

[1224] The server evaluates and decides on discount measures based on the emotional data it acquires. For example, if a user is feeling anxious, it will present a special promotion and make adjustments to increase purchasing motivation.

[1225] Step 8:

[1226] The server generates optimal discount information based on the evaluation and sends it to the terminal, including details of each discount applied, the total discount amount, and the new payment amount.

[1227] Step 9:

[1228] The terminal displays the discount information received from the server to the user, including the total discount amount, a breakdown of the applied discount, the new payment amount, and special offers based on sentiment analysis.

[1229] Step 10:

[1230] The user checks the displayed discount information and makes a final decision to purchase. When the user clicks the "Confirm Purchase" button, the purchase procedure will proceed.

[1231] As a specific example, consider a case where a new buyer with a contract term of three years or more is trying to purchase an iPhone 13 Pro. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and makes a decision. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special 12% discount and sends it to the device. The user confirms this information and proceeds with the purchase at the discounted price. In this way, the system allows users to obtain optimal discount information based on their emotional state in real time, and businesses can also improve their conversion rates.

[1232] Example 2

[1233] 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."

[1234] Conventional online store systems could offer discounts based on users' purchase records and contract information, but they were unable to offer adaptive discounts that took into account the user's emotional state. This made it difficult to maximize users' purchasing motivation, limiting the improvement of the closing rate.

[1235] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to select device information that the user wishes to purchase, a means for transmitting the selected device information to the information processing device, a means for acquiring the user's purchase record and contract information, a means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's status, a means for providing the evaluated and determined discount information to the user, a means for recognizing the user's emotional state, and a means for adjusting the discount measure according to the user's emotional state. This makes it possible to provide optimal discount information based on the user's emotions in real time, thereby improving the success rate.

[1236] "User" refers to an individual who uses this system to conduct purchasing activities.

[1237] "Device information" refers to the model, color variations, storage capacity, price, and other related information of the terminal that the user wishes to purchase.

[1238] "Information processing device" refers to a server or computer system that receives and analyzes data entered by a user and performs appropriate processing.

[1239] "Purchase records" refers to historical information about devices and services that a user has purchased in the past.

[1240] "Contract information" refers to the contract plan to which the user is currently subscribed and its detailed information.

[1241] "Discount measures" refer to the various types and conditions of discounts applied at the time of purchase.

[1242] "Emotional state" refers to the psychological state (e.g., joy, surprise, anxiety) analyzed from the user's facial expressions and voice data.

[1243] "Means for evaluation and decision making" refers to the process of calculating and determining the optimal discount based on the user's purchase record, contract information and emotional state.

[1244] "Means of providing" refers to the method for communicating the evaluated and determined discount information to the user.

[1245] "Adjustment" refers to the process of changing and applying discount measures according to the user's emotional state.

[1246] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine. The detailed configuration and operation of this system are described below.

[1247] A user accesses an online store using a smartphone or tablet. They display the store page using a browser and select the device they wish to purchase (e.g., a smartphone or tablet). The device information they select includes the model, color, storage capacity, etc. For example, a user can select "iPhone 13 Pro, Silver, 256GB."

[1248] The device sends this information entered by the user to the server as an HTTP request, typically using a RESTful API and organizing the data in JSON format.

[1249] Next, the server retrieves the user's purchase record and contract information from a database (e.g., MySQL) based on the received device information and user ID. The purchase record contains details of previously purchased devices and services, and the contract information contains the current contract plan and its contents. This information is retrieved using an SQL query.

[1250] The server references the discount information in the database based on the acquired user information. Discounts include discounts for new purchasers, discounts for long-term contract holders, promotions for specific devices, etc. It uses an SQL query to search for currently applicable discounts and temporarily stores the results in memory.

[1251] The emotion engine starts the emotion recognition process. The device is equipped with a camera and microphone, which collects the user's facial expression and voice data in real time. This data is sent from the device to the server using WebRTC technology. The server uses an emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) to analyze the facial expression and voice data and recognize the user's emotional state (e.g., joy, surprise, anxiety). The analyzed data is saved in JSON format.

[1252] The server evaluates and decides on discount measures based on the acquired emotional data. It uses an evaluation algorithm (e.g., decision tree or random forest) to provide special discounts according to the user's emotional state. For example, if the user is in an anxious state, it will adjust the offer to present a special promotion to increase their motivation to purchase.

[1253] The server then generates the optimal discount information, including details of each discount applied (e.g., discount rate, conditions), the total discount amount, and the new payment amount. The generated discount information is sent to the terminal as an HTTP response. The data is sent in JSON format.

[1254] The terminal displays the received discount information to the user. Here, JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user checks the displayed discount information and proceeds with the purchase by clicking the "Confirm Purchase" button. Once the purchase process is complete, the server sends a confirmation email to the user.

[1255] Specific examples

[1256] For example, consider a case where a user is a new buyer with a contract term of 3 years or more and wants to purchase an iPhone 13 Pro. In this case, the server searches and evaluates new buyer discounts (e.g., 10% off) and long-term contract discounts (e.g., 5% off). If the emotion engine recognizes the user's "happiness" state, it applies an additional special discount (e.g., 2% off). Finally, the server calculates the total discount rate (e.g., 17% off) and presents the new payment amount (e.g., $1,200 - $996).

[1257] Prompt Sentence Examples

[1258] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[1259] In this way, users can obtain optimal discount information based on their emotional state in real time, and businesses can also improve their closing rates.

[1260] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1261] Processing Steps

[1262] Step 1:

[1263] A user accesses an online store and selects the device they wish to purchase (e.g., smartphone, tablet) via a browser. Device information such as the model, color variation, and storage capacity is entered. For example, the input data is "iPhone 13 Pro, silver, 256GB, price $1,200, user ID 12345."

[1264] Step 2:

[1265] The device sends the device information entered by the user to the server in JSON format as an HTTP request. The sent data is as follows, for example:

[1266] json

[1267] {

[1268] "Model": "iPhone 13 Pro",

[1269] "Color Variation": "Silver",

[1270] "Storage capacity": "256GB",

[1271] "Price": "$1200",

[1272] "User ID": "12345"

[1273] }

[1274] The specific operation of the terminal is to send data to the server using a RESTful API.

[1275] Step 3:

[1276] The server uses an SQL query to retrieve the user's purchase record and contract information from the database based on the received device information and user ID. "User ID 12345" is used as input, and past purchase history and current contract information are obtained as output. Specific operations include executing the SQL query and analyzing the results.

[1277] Step 4:

[1278] The server references discount information in the database based on the acquired user information. The search target changes depending on purchase history and contract information. For example, it searches for information such as discounts for new buyers, discounts for long-term contract holders, and promotions for specific devices using an SQL query, and temporarily stores the results in memory. The input is purchase records and contract information, and the output is a list of applicable discounts.

[1279] Step 5:

[1280] The emotion engine starts the emotion recognition process. The device uses the camera and microphone to collect the user's facial expression and voice data, and sends the data to the server in real time using WebRTC technology. The input data is the captured image and voice data, and the emotion engine (e.g., Amazon Rekognition or Google Cloud Vision) is used for analysis. The analysis results are sent to the server in JSON format.

[1281] Step 6:

[1282] The server evaluates and decides on discount measures based on the received emotional data. Algorithms such as decision trees and random forests are used for the evaluation. For example, if the user's emotional state is determined to be "joyful," adjustments are made such as applying a 10% discount for new buyers, a 5% discount for long-term subscribers, and an additional 2% special discount. The inputs are emotional data and a list of discount measures, and the output is the optimal discount measure.

[1283] Step 7:

[1284] The server generates optimal discount information based on the evaluated discount measures. Specifically, it includes details of the applied discount (e.g., discount rate, conditions), total discount amount, and new payment amount. The generated discount information is sent to the terminal as an HTTP response in JSON format, for example, as shown below.

[1285] json

[1286] {

[1287] "Total Discount Rate": "17%",

[1288] "Total Discount": "$204",

[1289] "New payment amount": "$996",

[1290] "Discount Details": {

[1291] "New Buyer Discount": "10%",

[1292] "Long-term contract discount": "5%",

[1293] "Special Discount": "2%"

[1294] }

[1295] }

[1296] Specifically, calculations and data generation are performed based on the evaluation results, and the results are transmitted.

[1297] Step 8:

[1298] The terminal displays the received discount information to the user. JavaScript and CSS are used to display it in a visually easy-to-understand manner. The user then checks the displayed discount information and clicks the "Confirm Purchase" button to proceed with the purchase. A purchase procedure request is sent to the server, and the purchase process is completed on the server. After the process is complete, the server sends a confirmation email to the user. The input is the discount information, and the output is the final purchase confirmation and notification.

[1299] Prompt Sentence Examples

[1300] "Please explain what discount information will be generated if a new buyer with a 3+ year contract is happy with the iPhone 13 Pro."

[1301] (Application example 2)

[1302] 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."

[1303] Conventional online shopping sites offer discounts based on users' past purchase history and contract status, but this approach may not maximize users' purchasing motivation. It is known that a user's emotional state significantly influences their purchasing decisions, and discount measures that take emotions into account are needed. However, current systems have difficulty analyzing a user's emotional state in real time and offering optimal discounts based on that analysis. Therefore, a key challenge is to develop a system that provides discount information based on a user's emotional state and enhances their purchasing motivation.

[1304] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1305] In this invention, the server includes means for a user to select device information for a purchase they wish to make, means for transmitting the selected device information to the server, means for acquiring the user's purchase history and contract status, means for searching for multiple discount measures and evaluating and determining the optimal discount based on the user's situation, means for providing the evaluated and determined discount information to the user, means for acquiring emotion data using an emotion engine that recognizes the user's emotional state, means for adjusting the discount measures based on the emotion data, and means for transmitting the acquired emotion data and the adjusted discount measures to the server. This makes it possible to provide optimal discount information based on the user's emotional state in real time, thereby increasing purchasing motivation.

[1306] "User" means any individual or entity that accesses the System to use a product or service.

[1307] "Information about the device desired to be purchased" is information about the product the user wishes to purchase, specifically including details such as the model, color variations, storage capacity, and price.

[1308] A "server" is a computer system that works in conjunction with terminals via a network and stores and processes data.

[1309] "Purchase History" refers to a record of products and services purchased by a User in the past.

[1310] "Contract status" refers to the contract plan to which the user is currently subscribed and detailed information about it.

[1311] "Discount measures" refer to price discounts and special offers applied to promote products.

[1312] An "emotion engine" is a system that analyzes a user's facial expressions and voice data to recognize the user's emotional state.

[1313] "Emotion data" refers to data relating to the user's emotional state obtained through analysis by the emotion engine.

[1314] "Tailored discounts" refers to discounts and promotions that are optimized based on emotional data.

[1315] The "means of provision" refers to the part that has the function of displaying the evaluated and determined discount information to the user.

[1316] To put this invention into practice, a system incorporating an emotion engine that recognizes the user's emotions is required. This system operates in cooperation with the user, terminal, server, and emotion engine.

[1317] First, a user accesses a smartphone mail-order application and selects the device information (e.g., model, color variations, storage capacity, etc.) they wish to purchase. The selected information is sent from the device to the server. The sent information includes the selected model, color variations, storage capacity, price, user ID, etc.

[1318] Next, the server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The purchase history includes records of devices and services the user has previously purchased, while the contract status includes the current contract plan and its details. Using this retrieved information, the server references the discount promotion information in the database and searches for currently available discount promotions. Examples include discounts for new purchasers, discounts for long-term contract holders, and promotions for specific devices.

[1319] The emotion engine then begins the emotion recognition process. The device is equipped with a smartphone camera and microphone, which collects the user's facial expressions and voice data in real time. The emotion engine analyzes this data and recognizes the user's emotional state (e.g., joy, surprise, anxiety, etc.). The analysis results are sent to the server.

[1320] The server evaluates and decides on discount measures based on the acquired emotional data. This evaluation includes adjusting discount measures according to the user's emotional state. For example, if the user is anxious, the server will adjust the discount measures to increase the user's motivation to purchase by offering a special promotion.

[1321] The server then generates optimal discount information and sends it to the terminal. This information includes details of each applied discount (such as discount rate and conditions), the total discount amount, and the new payment amount. The terminal then displays the received discount information to the user. The displayed information includes the total discount amount, a breakdown of the applied discounts, and the new payment amount. It also includes an explanation of the discount measures based on sentiment analysis.

[1322] The user checks the displayed discount information and makes a final decision to purchase. If the emotion engine's analysis results are positive, the user's motivation to purchase increases, making it easier for them to proceed with the purchase. When the user clicks the "Confirm Purchase" button, the purchase process proceeds.

[1323] As a concrete example, consider the case where a new user with a contract term of three years or more is about to purchase a smartphone. In this case, the server searches for new buyer discounts and long-term contract discounts, evaluates them, and decides on them. Furthermore, if the emotion engine recognizes the user's state of happiness, the server generates discount information that applies a special discount of 12% off and sends it to the device. The user confirms this information and proceeds with the purchase procedure at the discounted price.

[1324] Example prompts for generative AI models

[1325] "What discount promotions work if users look anxious?"

[1326] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1327] Step 1:

[1328] The user operates the device to select the device information they wish to purchase. This information includes the model, color variations, storage capacity, price, and user ID. The device sends the selected information to the server. The input is the user's device information, and the output is the data sent to the server. Specific operations include the user's selection operation and the device sending the data.

[1329] Step 2:

[1330] The server retrieves the user's purchase history and contract status from the database based on the received device information and user ID. The input is device information and user ID, and the output is the retrieved purchase history and contract status data. Specific operations include querying the server's database and retrieving information.

[1331] Step 3:

[1332] The server searches multiple discount measures in the database based on the acquired purchase history and contract status, and evaluates and decides on the optimal discount based on the user's situation. The input is purchase history and contract status data, and the output is the evaluated and decided discount information. Specific operations include the server searching for and evaluating discount measures.

[1333] Step 4:

[1334] The device activates the emotion engine and collects the user's facial expressions and voice in real time using a camera and microphone. This data is analyzed by the emotion engine to recognize the user's emotional state. The input is facial expression and voice data, and the output is the recognized emotional state. Specific operations include collecting data from the camera and microphone and analyzing it using the emotion engine.

[1335] Step 5:

[1336] The device transmits the acquired emotional data to the server. The input is the recognized emotional state, and the output is the data to be transmitted to the server. A specific example of this operation is data transmission from the device to the server.

[1337] Step 6:

[1338] The server re-evaluates and decides on discount measures based on the acquired emotional data. This includes adjusting discount measures according to the emotional state. The input is emotional data and existing discount information, and the output is adjusted discount information. Specific operations include analyzing emotional data and re-evaluating discount information.

[1339] Step 7:

[1340] The server generates optimal discount information and transmits it to the terminal. The input is the adjusted discount information, and the output is the data to be transmitted to the terminal. A specific operation is the transmission of data from the server to the terminal.

[1341] Step 8:

[1342] The terminal displays the received discount information to the user. The information includes the total discount amount, a breakdown of the applied discount, the new payment amount, and a description of the discount policy based on sentiment analysis. The input is the received discount information, and the output is the content displayed to the user. Specific operations include displaying the information on the screen.

[1343] Step 9:

[1344] The user checks the displayed discount information and makes a final decision to purchase. Clicking the "Confirm Purchase" button will proceed with the purchase procedure. The input is the connected discount information, and the output is the purchase confirmation operation. Specific operations include the user's confirmation operation and the progress of the purchase procedure.

[1345] 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.

[1346] 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.

[1347] 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.

[1348] 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.

[1349] FIG. 9 illustrates 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 behaviors 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.

[1350] 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.

[1351] 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).

[1352] 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.

[1353] 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."

[1354] 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.

[1355] 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).

[1356] 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.

[1357] 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.

[1358] 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.

[1359] 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.

[1360] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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 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.

[1361] 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.

[1362] 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.

[1363] 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.

[1364] 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.

[1365] 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.

[1366] The following is further disclosed regarding the above embodiment.

[1367] (Claim 1)

[1368] A means for a user to select terminal information that the user wishes to purchase;

[1369] means for transmitting selected terminal information to a server;

[1370] A means for acquiring a user's purchase history and contract status;

[1371] A means for searching multiple discount measures and evaluating and determining the most suitable discount based on the user's situation;

[1372] A system including a means for providing evaluated and determined discount information to a user.

[1373] (Claim 2)

[1374] 2. The system of claim 1, wherein the discount offers include a discount for new buyers and a discount for long-term subscribers.

[1375] (Claim 3)

[1376] The system of claim 1, wherein the evaluated and determined discount information includes a total discount amount and detailed information about each discount.

[1377] "Example 1"

[1378] (Claim 1)

[1379] A means for a user to select information on an information processing device that the user wishes to purchase;

[1380] means for transmitting the selected information processing device information to a network device;

[1381] A means for acquiring a user's purchase history and contract status;

[1382] A means for searching multiple discount measures and evaluating and determining the optimal cost reduction based on the user's situation;

[1383] A system including means for providing evaluated and determined cost savings information to a user.

[1384] (Claim 2)

[1385] 2. The system of claim 1, wherein the discount offers include cost reductions for new buyers and cost reductions for long-term subscribers.

[1386] (Claim 3)

[1387] 2. The system of claim 1, wherein the evaluated and determined cost savings information includes an overall cost savings amount and detailed information for each cost savings.

[1388] "Application Example 1"

[1389] (Claim 1)

[1390] A means for a user to select terminal information that the user wishes to purchase;

[1391] means for transmitting selected terminal information to a server;

[1392] A means for acquiring a user's purchase history and contract status;

[1393] A means for searching multiple discount measures and evaluating and determining the most suitable discount based on the user's situation;

[1394] A means for providing the evaluated and determined discount information to the user and displaying it on the terminal;

[1395] means for visually presenting the total discount amount and detailed discount information to a user;

[1396] A way to display on various devices (smartphones, tablets, etc.)

[1397] A system including:

[1398] (Claim 2)

[1399] 2. The system according to claim 1, wherein the discount measures include a discount for new buyers and a discount for long-term contract holders, and optimizes the combination of discounts when the buyer is both a new buyer and a long-term contract holder.

[1400] (Claim 3)

[1401] The system of claim 1, wherein the evaluated and determined discount information includes a total discount amount and detailed information for each discount, and presents additional related information based on the terminal information selected by the user.

[1402] "Example 2: Combining Emotion Engines"

[1403] (Claim 1)

[1404] A means for a user to select device information that the user wishes to purchase;

[1405] means for transmitting the selected device information to the information processing device;

[1406] means for obtaining user purchase records and contract information;

[1407] A means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's status;

[1408] A means for providing the evaluated and determined discount information to the user;

[1409] means for recognizing the emotional state of a user;

[1410] The system includes a means for adjusting discount strategies depending on emotional state.

[1411] (Claim 2)

[1412] 2. The system of claim 1, wherein the discount offers include a discount for new buyers and a discount for long-term subscribers.

[1413] (Claim 3)

[1414] The system of claim 1, wherein the evaluated and determined discount information includes a total discount amount and detailed information about each discount.

[1415] "Application example 2 when combining emotion engines"

[1416] (Claim 1)

[1417] A means for a user to select terminal information that the user wishes to purchase;

[1418] means for transmitting selected terminal information to a server;

[1419] A means for acquiring a user's purchase history and contract status;

[1420] A means for searching multiple discount measures and evaluating and determining the most suitable discount based on the user's situation;

[1421] A means for providing the evaluated and determined discount information to the user;

[1422] means for acquiring emotion data using an emotion engine that recognizes the user's emotional state;

[1423] a means for adjusting discounting measures based on sentiment data;

[1424] The system includes a means for transmitting the acquired emotion data and the adjusted discount measures to a server.

[1425] (Claim 2)

[1426] 10. The system of claim 1, wherein the discount offers include new buyer discounts, long-term customer discounts, and special discounts based on emotional state.

[1427] (Claim 3)

[1428] The system of claim 1, wherein the evaluated and determined discount information includes a total discount amount, detailed information on each discount, and a description of discount measures based on emotional state. [Explanation of symbols]

[1429] 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 select terminal information that the user wishes to purchase; means for transmitting selected terminal information to a server; A means for acquiring a user's purchase history and contract status; A means for searching multiple discount measures and evaluating and determining the optimal discount based on the user's situation; and means for providing the evaluated and determined discount information to a user.

2. 2. The system of claim 1, wherein the discount offers include a discount for new buyers and a discount for long-term customers.

3. 2. The system according to claim 1, wherein the evaluated and determined discount information includes a total discount amount and detailed information on each discount.

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