Discuss training methods
The negotiation training method improves engagement and effectiveness by incorporating game elements and objective feedback through virtual business negotiations with AI customers, enhancing training for young salespersons.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- TOYOTA JIDOSHA KK
- Filing Date
- 2024-11-08
- Publication Date
- 2026-05-20
AI Technical Summary
Existing negotiation training techniques lack sufficient study and integration of game elements, particularly for young salespersons in vehicle dealerships, and do not provide quantitative and objective feedback.
A negotiation training method using a virtual business negotiation simulation with a conversational AI customer, calculating an evaluation score based on staff information and awarding rewards related to a game medium, such as costumes or items, to enhance engagement and provide objective feedback.
Enhances negotiation training by adding a game-like element, providing quantitative feedback, and making training more enjoyable and effective through repeated practice with simulated real-world scenarios.
Smart Images

Figure 2026084028000001_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to a negotiation training method.
Background Art
[0002] Conventionally, techniques for analyzing the content of negotiations have been known. For example, Patent Document 1 discloses a dialogue analysis system that checks whether a salesperson explains what should be explained and does not mention what should not be mentioned in a negotiation with a customer.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] Patent Document 1 shows a technique for analyzing the content of negotiations by machine learning. Here, in the future, for the purpose of training young salespersons in vehicle dealerships and the like, it is conceivable to use a machine learning model such as a large language model for negotiation training. However, such negotiation training has not been sufficiently studied in Patent Document 1. Also, Patent Document 1 does not mention incorporating game elements in negotiation training. Thus, there was room for improvement in negotiation training techniques.
[0005] In view of such circumstances, an object of the present disclosure is to improve negotiation training techniques.
Means for Solving the Problems
[0006] A negotiation training method according to an embodiment of the present disclosure is a negotiation training method executed by an information processing apparatus, calculating an evaluation score related to the virtual negotiation based on staff information in the virtual negotiation; To output information related to the aforementioned evaluation score, Based on the aforementioned evaluation score, rewards related to the game medium will be given to the staff, Includes. [Effects of the Invention]
[0007] According to one embodiment of this disclosure, negotiation training techniques are improved. [Brief explanation of the drawing]
[0008] [Figure 1] This block diagram shows a schematic configuration of a system according to one embodiment of the present disclosure. [Figure 2] This is a flowchart showing the operation of an information processing device. [Modes for carrying out the invention]
[0009] The embodiments of this disclosure will be described below.
[0010] (Summary of the embodiment) Referring to Figure 1, the overview and configuration of System 1 according to this embodiment will be described. System 1 according to this embodiment comprises an information processing device 10 and a server device 20. The information processing device 10 is any device used by each user. For example, a general-purpose electronic device such as a personal computer, smartphone, tablet terminal, or wearable terminal, or a dedicated electronic device, can be used as the information processing device 10. The server device 20 is a server device installed in a data center, for example. For example, the server device 20 is a server belonging to a cloud computing system or other computing system. The server device 20 includes a dialogue system (hereinafter also referred to as a dialogue AI). In this embodiment, the dialogue AI is constructed using any dialogue system such as a Large Language Model (LLM) or a chatbot. The dialogue AI can perform dialogue with the user by outputting text corresponding to the prompt based on the input of the prompt. The information processing device 10 and the server device 20 are communicated with a network 30, including, for example, a mobile communication network and the Internet. Although Figure 1 shows one information processing device 10 and one server device 20, System 1 may include multiple units of these devices.
[0011] First, an overview of this embodiment will be described, and details will be described later. The information processing device 10 calculates an evaluation score related to a virtual business negotiation based on the staff information in the virtual business negotiation. The information processing device 10 also outputs information related to the evaluation score. Then, based on the evaluation score, the information processing device 10 grants the staff a reward related to the game medium.
[0012] Thus, according to this embodiment, staff are evaluated based on staff information in a virtual business negotiation. Furthermore, staff are awarded rewards related to the game medium based on their evaluation score. Therefore, it is possible to provide quantitative and objective feedback to staff through virtual business negotiations that simulate real business negotiations. Moreover, by awarding rewards related to the game medium based on the evaluation score, a game-like element is added, making business negotiation training more enjoyable and thus improving the business negotiation training technique.
[0013] In this embodiment, the counterparty in the virtual negotiation is a virtual customer (hereinafter also referred to as the AI customer) simulated by a conversational AI, who is considering purchasing a product or service. The virtual negotiation is a training negotiation conducted under the assumption that the counterparty is considering purchasing a product or service. In other words, the virtual negotiation is conducted by both the staff and the AI customer. The virtual negotiation may be, for example, a virtual negotiation related to the sale of a vehicle. In this case, the virtual negotiation may also include negotiations specific to a particular vehicle model or brand.
[0014] Staff information may include at least one of the following: the content of the staff member's speech (positive words, etc.), facial expressions, eye contact, and tone of voice. The evaluation score may also be determined based on the outcome of the mock sales negotiation. Information related to the evaluation score may include the evaluation score and text information. The text information may include the basis for the evaluation score, comments on the mock sales negotiation, advice, etc.
[0015] In this embodiment, a game is played in response to a virtual business negotiation, in which avatars for each staff member exist. For example, a virtual business negotiation may be a stage that needs to be cleared in the game. Rewards related to the game medium may be costumes, items, levels, etc., for the avatars corresponding to the staff members.
[0016] Next, the configurations of the information processing device 10 and the server device 20 will be described in detail. As shown in Figure 1, the information processing device 10 comprises a control unit 11, a storage unit 12, an input unit 13, an output unit 14, and a communication unit 15. The control unit 11 includes at least one processor. The processor is a general-purpose processor such as a CPU, or a dedicated processor specialized for a specific process. The control unit 11 controls each part of the information processing device 10 and executes processes related to the operation of the information processing device 10. The storage unit 12 includes at least one semiconductor memory, etc. The semiconductor memory is, for example, RAM or ROM. The storage unit 12 functions, for example, as a main memory or auxiliary memory. The storage unit 12 stores data used for the operation of the information processing device 10 and data obtained by the operation of the information processing device 10. For example, the storage unit 12 stores a learning model. The learning model is a model created by machine learning using a machine learning algorithm. The learning model may be a machine learning model built on a decision tree, a Convolutional Neural Network (CNN), a Recurrent Neural Network (RNN), or a model generated based on other deep learning algorithms. The input unit 13 includes at least one input interface. The input interface may be, for example, a physical key, a touchscreen, a sound sensor that accepts voice input, or a camera that accepts gesture input. The input unit 13 accepts operations to input data used for the operation of the information processing device 10. The output unit 14 includes at least one output interface. The output interface may be, for example, a display that outputs information as video, or a speaker that outputs information as audio. The output unit 14 outputs data obtained by the operation of the information processing device 10. The communication unit 15 includes at least one external communication interface. The communication interface may be either a wired communication interface or a wireless communication interface. In the case of wired communication, the communication interface may be, for example, LAN or USB.In the case of wireless communication, the communication interface is, for example, an interface compatible with mobile communication standards such as 5G, or an interface compatible with short-range wireless communication. The communication unit 15 receives data used for the operation of the information processing device 10 and transmits data obtained by the operation of the information processing device 10.
[0017] As shown in Figure 1, the server device 20 comprises a control unit 21, a storage unit 22, an input unit 23, an output unit 24, and a communication unit 25. The control unit 21 includes at least one processor. The processor is a general-purpose processor such as a CPU, or a dedicated processor specialized for specific processing. The control unit 21 controls each part of the server device 20 and executes processing related to the operation of the server device 20. The storage unit 22 includes at least one semiconductor memory, etc. The semiconductor memory is, for example, RAM or ROM. The storage unit 22 functions, for example, as a main memory or auxiliary memory. The storage unit 22 stores data used for the operation of the server device 20 and data obtained by the operation of the server device 20. The input unit 23 includes at least one input interface. The input interface may be, for example, a physical key, a touchscreen, a sound sensor that accepts voice input, or a camera that accepts gesture input. The input unit 23 accepts operations to input data used for the operation of the server device 20. The output unit 24 includes at least one output interface. The output interface is, for example, a display for outputting video information or a speaker for outputting audio information. The output unit 24 outputs data obtained by the operation of the server device 20. The communication unit 25 includes at least one external communication interface. The communication interface may be either a wired communication interface or a wireless communication interface. In the case of wired communication, the communication interface is, for example, a LAN or USB. In the case of wireless communication, the communication interface is, for example, an interface compatible with a mobile communication standard such as 5G or an interface compatible with short-range wireless communication. The communication unit 25 receives data used in the operation of the server device 20 and transmits data obtained by the operation of the server device 20.
[0018] The functions of the information processing device 10 or server device 20 are realized by executing a program according to this embodiment on a processor corresponding to the control unit 11 or control unit 21. In other words, the functions of the information processing device 10 or server device 20 are realized by software. The program causes the computer to function as the information processing device 10 or server device 20 by having the computer execute the operations of the information processing device 10 or server device 20. In other words, the computer functions as the information processing device 10 or server device 20 by executing the operations of the information processing device 10 or server device 20 according to the program. In this embodiment, the program can be recorded on a computer-readable recording medium. The computer-readable recording medium includes non-temporary computer-readable media, such as magnetic recording devices and semiconductor memory. The program can be distributed, for example, by selling, transferring, or lending a portable recording medium such as a DVD on which the program is recorded. Alternatively, the program may be distributed by storing the program in the storage of an external server and transmitting the program from the external server to another computer. The program may also be provided as a program product. Some or all of the functions of the information processing device 10 or the server device 20 may be implemented by a dedicated circuit corresponding to the control unit 11 or the control unit 21. In other words, some or all of the functions of the information processing device 10 or the server device 20 may be implemented by hardware.
[0019] Referring to Figure 2, the operation of the information processing device 10 according to this embodiment will be described. First, the control unit 11 of the information processing device 10 calculates an evaluation score related to the virtual business negotiation based on the staff information in the virtual business negotiation (step S10). Any method can be used for calculating the evaluation score. For example, the evaluation score may be calculated using a learning model based on at least one of the staff's vocal content (positive words, etc.), facial expression, gaze, and tone of voice. Alternatively, the evaluation score may be calculated using a learning model based on at least one of the customer's vocal content (positive words, etc.), facial expression, gaze, and tone of voice.
[0020] Next, the control unit 11 outputs information related to the evaluation score (step S20). Any method can be adopted for the output process. For example, the control unit 11 may output the evaluation score through a user interface via the output unit 14 of the information processing device 10.
[0021] Subsequently, the control unit 11 grants a reward related to the game medium to the staff based on the evaluation score (step S30). As described above, the reward related to the game medium may be the clothing, items, level, etc. of the avatar corresponding to the staff.
[0022] As described above, the information processing device 10 according to the present embodiment calculates an evaluation score related to the virtual negotiation based on the staff information in the virtual negotiation. Further, the information processing device 10 outputs information related to the evaluation score. Then, the information processing device 10 grants a reward related to the game medium to the staff based on the evaluation score.
[0023] According to such a configuration, the staff is evaluated based on the staff information in the virtual negotiation. Also, based on the evaluation score, a reward related to the game medium is granted to the staff. Therefore, it is possible to give quantitative and objective feedback to the staff through a virtual negotiation that simulates a negotiation. Furthermore, by granting a reward related to the game medium based on the evaluation score, a game element is added, and the negotiation training technology is improved in that the negotiation training can be carried out enjoyably. Also, the staff can practice the negotiation with the information processing device 10 as many times as they like, and can obtain specific feedback based on a large amount of negotiation data such as the way of speaking, expression, and parts that the customer feels negatively for each negotiation.
[0024] While this disclosure has been described based on the drawings and embodiments, it should be noted that those skilled in the art may make various modifications and alterations based on this disclosure. Therefore, it should be noted that these modifications and alterations are within the scope of this disclosure. For example, the functions, etc., included in each component or step can be rearranged in a logically consistent manner, and multiple components or steps can be combined into one or divided into two.
[0025] For example, information related to evaluation scores may include score trends, evaluation scores of other staff members, etc. This allows for quantitative comparisons between staff members or with one's past performance, and adds a game-like element of leveling up, making business negotiations more enjoyable.
[0026] Furthermore, the content and difficulty level of the virtual negotiations may be adjusted as appropriate. For example, virtual negotiations may be conducted with specified car models, brands, etc. Also, multiple-choice quizzes may be presented within the game corresponding to the virtual negotiations, and staff may be rewarded with compensation related to the game medium based on their correct answer rate, etc.
[0027] For example, the information processing device 10 may be an Augmented Reality (AR) device or a Virtual Reality (VR) device. In this way, staff can wear the AR device, VR device, etc. as the information processing device 10 and conduct virtual business negotiations with AI customers in a virtual space. This makes it possible to realize virtual business negotiations with AI customers that more closely resemble real customers.
[0028] Furthermore, in the embodiment described above, it is also possible to have an embodiment in which the configuration and operation of the information processing device 10 are distributed among multiple computers, including a server device 20, that are able to communicate with each other. [Explanation of Symbols]
[0029] 10: Information processing device, 11: Control unit, 12: Storage unit, 13: Input unit, 14: Output unit, 15: Communication unit, 20: Server device, 21: Control unit, 22: Storage unit, 23: Input unit, 24: Output unit, 25: Communication unit, 30: Network
Claims
[Claim 1] A method for conducting business negotiation training performed by an information processing device, Based on the staff information in the virtual business negotiation, an evaluation score related to the said virtual business negotiation will be calculated, To output information related to the aforementioned evaluation score, Based on the aforementioned evaluation score, rewards related to the game medium will be given to the staff, A sales negotiation training method that includes this.