Information providing method

Abstract

The present invention aims to improve information providing technology related to event planning proposals. An information providing method related to event planning performed by an information processing device, the method including the steps of: acquiring voice data related to a consultation with each customer; acquiring travel data of each customer; extracting a keyword related to each customer from the voice data; inferring a range of action related to each customer from the travel data; determining a pair of a keyword and an area common to a plurality of customers based on the keyword and the range of action of each customer; and prompting the pair of the keyword and the area common to the plurality of customers.

Description

Technical Field

[0001] This invention relates to a method for providing information related to proposals for event planning. Background Technology

[0002] Previously, there was a known technique for analyzing the content of product-related negotiations. For example, Patent Document 1 discloses a dialogue analysis system that checks whether a salesperson has explained matters that should be explained and whether they have explained matters that should not be explained during a negotiation with a customer.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2019-28910 Summary of the Invention

[0004] Patent Document 1 discloses a technique for analyzing negotiation content using machine learning, but the application of negotiation content to scenarios outside of negotiations has not been sufficiently studied to date. In particular, no research has been conducted on proposals supporting event planning for vehicle dealerships. Thus, there is room for improvement in the proposed technology for supporting event planning based on negotiation content.

[0005] In view of this situation, the object of the present invention is to improve the information provision technology related to event planning proposals.

[0006] One embodiment of the present invention relates to an information provision method for event planning performed by an information processing device, which includes the following steps:

[0007] Acquire voice data related to negotiations with each customer;

[0008] Obtain driving data for each customer;

[0009] Extract keywords related to each customer from the voice data;

[0010] From the driving data, the movement range associated with each customer can be inferred;

[0011] Based on each customer's keywords and activity range, identify common keywords and regions shared by multiple customers; and

[0012] The prompt indicates the keywords and regions shared by the multiple customers.

[0013] Invention Effects

[0014] According to one embodiment of the present invention, the technology for providing information related to event planning proposals is improved. Attached Figure Description

[0015] Figure 1 This is a block diagram illustrating the general configuration of the system involved in this embodiment.

[0016] Figure 2 It is a flowchart illustrating the operation of an information processing device. Detailed Implementation

[0017] The embodiments of the present invention will be described below. (See references) Figure 1 The overview and configuration of System 1 according to this embodiment will be described. System 1 according to this embodiment includes an information processing device 10 and a terminal device 20. The information processing device 10 is, for example, a server device installed in a data center. The terminal device 20 is any device used by a user. These devices can be communicatively connected via a network 30 such as the Internet. Furthermore, in Figure 1 In the figure, one information processing device 10 and one terminal device 20 are shown, but the system 1 may also have multiple of these devices.

[0018] First, a general overview of the information provision method according to this embodiment will be given, with detailed descriptions to follow. The information processing device 10 according to this embodiment acquires voice data related to negotiations with each customer. Here, the negotiations are related to vehicle sales. Furthermore, the information processing device 10 acquires driving data for each customer. The information processing device 10 extracts keywords related to each customer from the acquired voice data. Furthermore, the information processing device 10 infers the movement range related to each customer from the acquired driving data. Furthermore, the information processing device 10 determines pairs of keywords and regions common to multiple customers based on the keywords and movement ranges of each customer. Moreover, the information processing device 10 prompts for pairs of keywords and regions common to multiple customers.

[0019] Thus, according to this embodiment, the information processing device 10 can extract keywords from the voice data of the negotiation and infer the movement range related to each customer from the customer's driving data, and identify and prompt the pairs of keywords and areas shared by multiple customers. The pairs of keywords and areas shared by multiple customers can become useful information when determining the content, location, etc. of event planning, thus improving the information provision technology related to event planning proposals.

[0020] Next, the components of the information processing device 10 and the terminal device 20 will be described in detail. For example... Figure 1As shown, the information processing device 10 includes 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 for specific processing. The control unit 11 controls each part of the information processing device 10 and performs processing related to the operation of the information processing device 10. The storage unit 12 includes at least one semiconductor memory, such as RAM or ROM. The storage unit 12 functions as a main storage device or an auxiliary storage device, for example. The storage unit 12 stores data used in the operation of the information processing device 10 and data obtained through the operation of the information processing device 10. The input unit 13 includes at least one input interface, such as a physical key, a touchscreen, a voice sensor that accepts voice input, or a camera that accepts gesture input. The input unit 13 accepts operations that input data used in the operation of the information processing device 10. The output unit 14 includes at least one output interface, such as a display that outputs information as images or a speaker that outputs information as voice. The output unit 14 outputs data obtained through the operation of the information processing device 10. The communication unit 15 includes at least one external communication interface. This communication interface can be either a wired or wireless communication interface. In the case of wired communication, the communication interface may be, for example, a LAN or USB interface. In the case of wireless communication, the communication interface may be, for example, an interface corresponding to mobile communication standards such as 5G, or an interface corresponding to short-range wireless communication. The communication unit 15 receives data used in the operation of the information processing device 10 and transmits data obtained through the operation of the information processing device 10.

[0021] And, as Figure 1As shown, the terminal device 20 includes 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 for specific processing. The control unit 21 controls each part of the terminal device 20 and performs processing related to the operation of the terminal device 20. The storage unit 22 includes at least one semiconductor memory, such as RAM or ROM. The storage unit 22 functions as a main storage device or an auxiliary storage device. The storage unit 22 stores data for the operation of the terminal device 20 and data obtained through the operation of the terminal device 20. The input unit 23 includes at least one input interface. The input interface can be, for example, a physical key, a touchscreen, a voice sensor that accepts voice input, or a camera that accepts gesture input. The input unit 23 accepts data input for the operation of the terminal device 20. The output unit 24 includes at least one output interface. The output interface can be, for example, a display that outputs image information or a speaker that outputs voice information. The output unit 24 outputs data obtained through the operation of the terminal device 20. The communication unit 25 includes at least one external communication interface. This communication interface can be either a wired or wireless communication interface. In the case of wired communication, the communication interface may be, for example, a LAN or USB interface. In the case of wireless communication, the communication interface may be, for example, an interface corresponding to mobile communication standards such as 5G, or an interface corresponding to short-range wireless communication. The communication unit 25 receives data for the operation of the terminal device 20 and transmits data obtained through the operation of the terminal device 20.

[0022] The functions of the information processing device 10 or the terminal device 20 are implemented by a processor, which corresponds to the control unit 11 or the control unit 21, executing the program involved in this embodiment. That is, the functions of the information processing device 10 or the terminal device 20 are implemented by software. The program causes the computer to perform the actions of the information processing device 10 or the terminal device 20, thereby enabling the computer to function as the information processing device 10 or the terminal device 20. In other words, the computer functions as the information processing device 10 or the terminal device 20 by executing the actions of the information processing device 10 or the terminal device 20 according to the program. In this embodiment, the program can be recorded on a computer-readable recording medium. Computer-readable recording media include non-transitory computer-readable media, such as magnetic recording devices, semiconductor memories, etc. The program can be distributed, for example, through the sale, transfer, or lending of portable recording media such as DVDs containing the program. Furthermore, the program can also be distributed by storing the program in the storage device of an external server and sending the program from the external server to other computers. The program can also be provided in the form of a program product. Some or all of the functions of the information processing device 10 or the terminal device 20 can also be implemented by a dedicated circuit equivalent to the control unit 11 or the control unit 21. That is, some or all of the functions of the information processing device 10 or the terminal device 20 can also be implemented by hardware.

[0023] refer to Figure 2 The operation of the information processing apparatus 10 according to this embodiment will be described. First, the control unit 11 of the information processing apparatus 10 acquires voice data related to the negotiations with each customer's vehicle (S10). In other words, the control unit 11 acquires voice data from multiple customers. Any method can be used in the acquisition and processing of voice data. For example, the control unit 11 may acquire voice data from external devices, including the terminal device 20, via the communication unit 15 and the network 30. Furthermore, for example, the control unit 11 may acquire voice data via the input unit 13.

[0024] Next, the control unit 11 acquires the driving data of each customer (S20). In other words, in S10 and S20, the control unit 11 acquires the voice data and driving data of each of the multiple customers. The acquisition and processing of driving data can be performed using any method. For example, the control unit 11 can also acquire driving data from external devices such as the communication unit 15 and the network 30. Furthermore, for example, the control unit 11 can also acquire driving data via the input unit 13.

[0025] Next, the control unit 11 extracts keywords related to each customer from the voice data acquired in S10 (S30). The keyword extraction process can employ any method. For example, machine learning algorithms, natural language processing (NLP) techniques, and topic extraction processing based on these techniques can be used in keyword extraction. For instance, keywords may include topics obtained by performing topic extraction processing on the content of casual conversations in the voice data. Specifically, for example, keywords may include information related to outdoors, sports, entertainment, and lifestyle. Outdoor-related information includes camping, skiing, fishing, mountaineering, and surfing. Sports-related information includes golf and tennis. Entertainment-related information includes music festivals, movies, theater, concerts, and games. Lifestyle-related information includes food, fitness, DIY, interior design, gardening, pets, and wine.

[0026] Next, the control unit 11 infers the movement range associated with each customer from the driving data acquired in S20 (S40). In other words, through the processing in S30 and S40, the control unit 11 extracts and infers keywords and movement ranges associated with each customer. The movement range inference process can employ any method. For example, the movement range can be inferred by determining locations where each customer's visit frequency is above a certain threshold. More specifically, for example, the movement range can be inferred based on driving data as a circular area centered on the home, with the distance between the home and locations outside the home that have a certain frequency or number of visits outside the home and the home as the radius. Furthermore, for example, the movement range can be inferred based on driving data using a machine learning algorithm.

[0027] Next, the control unit 11 determines a pair of keywords and areas shared by multiple customers based on each customer's keywords and activity range (S50). This area is determined based on the activity range of multiple customers. For example, the area can be determined based on a common area within the activity range of multiple customers. Specifically, the pair could be, for example, camping in Tama or golf in Mie.

[0028] Next, the control unit 11 prompts for a pair of keywords and regions common to multiple customers (S60). The prompting of the keyword and region pairs can be performed using any method. For example, the control unit 11 can send data to the terminal device 20 via the communication unit 15, and the terminal device 20 can display the output user interface through its output unit 24 to prompt for the pair. Alternatively, the control unit 11 can also display the output user interface through its output unit 14 to prompt for the pair.

[0029] Thus, according to this embodiment, the information processing device 10 can extract keywords related to each customer from the voice data of the negotiation, and infer the movement range related to each customer from the customer's driving data, identifying and prompting pairs of keywords and areas shared by multiple customers. These pairs of keywords and areas shared by multiple customers can serve as useful information when determining the content, location, etc., of event planning, thereby improving the information provision technology related to event planning proposals. Furthermore, in this way, the content of vehicle sales negotiations can be applied to scenarios other than negotiations, namely event planning proposals.

[0030] Although the present invention has been described with reference to the accompanying drawings and embodiments, those skilled in the art will recognize that various modifications and alterations can be made to the present invention. Therefore, it should be noted that such modifications and alterations are included within the scope of the present invention. For example, the functions included in each component or step can be reconfigured in a logically consistent manner, and multiple components or steps can be combined into one or divided.

[0031] For example, the control unit 11 of the information processing device 10 can suggest event plans based on keyword and region pairings. Specifically, for example, if the keyword and region pairing is "camping - Tama", the control unit 11 can suggest events such as camping experience activities or experiences using camping equipment that can be recharged in an EV. Camping equipment may include, for example, refrigerators, electric cookers, portable power banks, LED lights, etc. Furthermore, for example, if the keyword and region pairing is "golf - Mie", the control unit 11 can suggest events such as golf experience activities at golf courses in Mie or ride-on experiences in vehicles (SUVs, minivans, etc.) that can easily carry a full set of golf equipment. Furthermore, for example, if the keyword and region pairing is "shopping (assuming shopping is done by a housewife who is not good at driving) - Tokyo", the control unit 11 can suggest events such as driving lectures at driving training tracks in Tokyo. Furthermore, the control unit 11 can suggest demonstrations of compact cars that are easy for beginners to drive, parking assistance systems, etc., during the event. Furthermore, for example, if the keyword / region is "Chiba Music Festival," the control unit 11 can suggest music festivals or events held at venues in Chiba as part of the event planning. Moreover, the control unit 11 can suggest a demonstration during the event where EV vehicles can replenish the music festival's power supply.

[0032] In processing suggestions for event planning, any method can be used. For example, machine learning algorithms can be used in suggestion processing. In this case, the control unit 11 can obtain event planning suggestions from the learning completion model by inputting keyword and region pairs into the learning completion model.

[0033] Furthermore, for example, the control unit 11 can generate keyword trend information based on the keywords extracted from each customer in step S30. The trend information includes statistical information such as keyword frequency, period, and season. The control unit 11 can suggest the implementation period for the event plan based on this trend information. Specifically, when the keyword is "camping," the control unit 11 will identify periods when the keyword's frequency is higher in spring to early summer than in other periods. In this case, the control unit 11 can suggest that the implementation period for camping-related event planning be spring to early summer based on this trend information. This increases the likelihood of holding the event at an appropriate time. Alternatively, the control unit 11 can also obtain trend information using general search trend analysis tools.

[0034] Furthermore, for example, the control unit 11 may store the pairs of keywords and regions common to multiple customers determined in step S50 in a database. This database may be stored in a storage unit 12 or the like. Furthermore, based on this database, a terminal device installed in the vehicle may prompt recommended information to the customer while the vehicle is in motion. This recommended information can be determined based on the aforementioned database and customer attributes. Additionally, the recommended information may also be determined based on the aforementioned database and in-vehicle voice recordings during the journey. In-vehicle voice recordings during the journey may include in-vehicle conversations.

[0035] Furthermore, for example, in the above embodiments, it is also possible to implement an embodiment in which the configuration and operation of the information processing device 10 are distributed among multiple computers that can communicate with each other.

[0036] Symbol Explanation

[0037] 1-System, 10-Information processing device, 11-Control unit, 12-Storage unit, 13-Input unit, 14-Output unit, 15-Communication unit, 20-Terminal device, 21-Control unit, 22-Storage unit, 23-Input unit, 24-Output unit, 25-Communication unit, 30-Network.

Claims

1. An information provision method related to activity planning performed by an information processing device, the method being characterized by comprising the following steps: Acquire voice data related to negotiations with each customer; Obtain driving data for each customer; Extract keywords related to each customer from the voice data; From the driving data, the movement range associated with each customer can be inferred; Based on each customer's keywords and activity range, identify common keywords and regions shared by multiple customers; and The prompt indicates the keywords and regions shared by the multiple customers.

2. The information providing method according to claim 1, characterized in that, The keywords include themes obtained by extracting themes from the conversational content in the voice data.

3. The information providing method according to claim 1, characterized in that, The operational range is inferred by determining locations with a frequency of access exceeding a specified range from the driving data.

4. The information providing method according to claim 1, characterized in that, The area is determined based on the movement range of multiple customers.

5. The information providing method according to claim 1, characterized in that, It also includes the following steps: Suggestions for event planning based on the aforementioned keywords and regions.

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