JP2015018301A - Sales support terminal, program, and information processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a sales support terminal capable of visualizing potential needs of a customer, a program, and an information processing method.SOLUTION: The sales support terminal includes: commodity specification information acquisition means for acquiring information for specifying a commodity from information on the commodity which is input through an input apparatus; commodity emotion information acquisition means for acquiring information which shows emotion of a customer related to the commodity, from information on the commodity; related information generation means for generating information in which the information for specifying the commodity is associated with the information which shows emotion of the customer related to the commodity; and output means for generating and outputting information for supporting sales on the basis of the association information.

Description

  The present invention relates to a sales support terminal, a program, and an information processing method.

  2. Description of the Related Art An information processing apparatus that supports sales using information input by a customer from a customer terminal owned by the customer, a purchase history of the customer, or the like in a sales department such as a department store is conventionally known (for example, Patent Document 1). In addition, an information processing apparatus that recognizes a predetermined keyword using a voice recognition technique, presents a product corresponding to the keyword, and supports sales is also conventionally known (for example, Patent Document 2). Furthermore, an information processing apparatus that calculates customer satisfaction from the voice of a customer who is talking to a store clerk using voice recognition technology or emotion recognition technology and associates it with image data obtained by capturing customer service is also known. (For example, Patent Document 3).

  However, the above information processing apparatus is based on information input by the customer to the customer terminal, predetermined keywords by voice recognition, and customer conversation during customer service, so the potential needs of the customer cannot be sensed was there.

  One embodiment of the present invention has been made in view of the above points. That is, the purpose is to provide sales support by visualizing the potential needs of customers by displaying the words and emotions of the customers in association with product information.

  In order to achieve the above object, in one embodiment of the present invention, from information related to a product input via an input device, product specifying information acquisition means for acquiring information for specifying the product, and information related to the product , Product emotion information acquisition means for acquiring information representing customer emotion regarding the product, and related information generation means for generating information associating information identifying the product with information representing customer emotion regarding the product; An output means for generating and outputting information for supporting sales based on the associated information is provided.

  According to the embodiment of the present invention, the potential needs of customers can be visualized in a sales department such as a department store.

It is a lineblock diagram of an example of a sales support system concerning this embodiment. It is a hardware block diagram of an example of the sales support terminal which concerns on this embodiment. It is a processing block diagram of an example of a sales support terminal concerning this embodiment. It is a flow chart which shows an example of sales support source data creation processing concerning this embodiment. It is explanatory drawing which shows an example of the sales support source data concerning this embodiment. It is a flowchart which shows an example of the sales support information generation / display process concerning this embodiment. It is a lineblock diagram of an example of a sales support system concerning this embodiment. It is a processing block diagram of an example of a sales support terminal concerning this embodiment. It is a flow chart which shows an example of sales support source data creation processing concerning this embodiment.

[First Embodiment]
<System configuration>
FIG. 1 is a configuration diagram of an example of a sales support system according to the present embodiment.

  In the sales support system 10 of FIG. 1, a sales support terminal 100, a camera 200, and a microphone 300 are connected via a network.

  The sales support terminal 100 includes a smartphone, a tablet terminal, a mobile phone, a notebook PC, a desktop PC, and the like.

  The camera 200 and the microphone 300 are examples of input devices. The camera 200 may be capable of capturing either a still image / moving image or both. The microphone 300 may be any device that can input a customer's voice, such as a carbon microphone or a laser microphone.

  The network is a LAN (Local Area Network) or the like. The LAN may be wired or wireless. Furthermore, wired and wireless may be mixed.

  The camera 200, the microphone 300, and the like may be connected to the sales support terminal 100 via an external connection terminal such as an AV terminal.

  The sales support system may include, for example, an advertising medium such as digital signage in order to urge remarks about the customer's product impressions and effectively collect information about the product from an input device such as the microphone 300. .

  In FIG. 1, one sales support terminal 100, one camera 200, and one microphone 300 are connected as an example. However, the number may be any number of one or more. In order to collect a lot of information about products from customers, it is preferable to connect a plurality of cameras 200 and microphones 300.

<Hardware configuration>
The sales support terminal 100 in FIG. 1 can be realized by, for example, the hardware configuration shown in FIG. FIG. 2 is a hardware configuration diagram of an example of the sales support terminal 100 according to the present embodiment.

  The sales support terminal 100 shown in FIG. 2 includes an input device 110, a display device 120, an external storage I / F device 130, a CPU (Central Processing Unit) 140, a RAM (Random Access Memory) 150, and a ROM (Read Only Memory) 151. , An HDD (Hard Disk Drive) 152, a communication I / F device 160, an external input / output I / F device 170, and the like, which are connected to each other via a bus B.

  The input device 110 includes a keyboard, a mouse, a touch panel, and the like, and is used by a user to input each operation signal.

  The display device 120 includes an LCD (Liquid Crystal Display), a CRT (Cathode Ray Tube), and the like, and displays a processing result by the sales support terminal 100.

  The external storage I / F device 130 is an interface with the external storage medium 130a. The external storage medium 130a can store a program that realizes the embodiment.

  A recording medium such as a USB memory (Universal Serial Bus memory), an SD memory card (SD Memory card), a DVD (Digital Versatile Disk), a CD (Compact Disk), or a flexible disk can be used as the external storage medium 130a. Thereby, the sales support terminal 100 can read and / or write the recording medium via the external storage I / F device 130.

  The CPU 140 is an arithmetic unit that realizes control and functions of the entire sales support terminal 100 by reading a program and data from a storage device such as the ROM 151 and the HDD 152 onto the RAM 150 and executing processing.

  The RAM 150 is a volatile semiconductor memory (storage device) that temporarily stores programs and data.

  The ROM 151 is a nonvolatile semiconductor memory (storage device) that can retain programs and data even when the power is turned off. The ROM 151 stores programs and data such as BIOS (Basic Input / Output System), OS (Operating System) settings, and network settings that are executed when the sales support terminal 100 is activated.

  The HDD 152 is a non-volatile storage device that stores programs and data. Examples of the stored programs and data include an OS that is basic software for controlling the entire sales support terminal 100, and application software that provides various functions on the OS. The HDD 152 manages stored programs and data by a predetermined file system and / or DB (database).

  The communication I / F device 160 is an interface connected to a network. As a result, the sales support terminal 100 can perform data communication via the communication I / F device 160.

  The external input / output I / F device 170 is an interface with the external input / output device 170a.

  As the external input / output device 170a, an audio device such as a microphone or a video camera, a video device, or the like can be used. As a result, the sales support terminal 100 can input audio information and video information via the external input / output I / F device 170.

<Software configuration>
The sales support terminal 100 according to the present embodiment can be represented by, for example, processing blocks as shown in FIG. FIG. 3 is a processing block diagram of an example of the sales support terminal according to the present embodiment.

  The sales support terminal 100 includes an input processing unit 1100, a display processing unit 1200, an engine unit 1400, a data storage unit 1500, and a communication processing unit 1600. The input processing unit 1100 includes a voice information input unit 1101, an image information input unit 1102, and a parameter input unit 1103. The display processing unit 1200 includes a sales support information display unit 1201. The engine unit 1400 includes a voice recognition unit 1401, an image analysis unit 1402, a morpheme analysis unit 1403, an emotion recognition unit 1404, a sales support information generation unit 1405, and a sales support information analysis unit 1406. The data storage unit 1500 includes a sales support source data storage unit 1501 and a dictionary data storage unit 1502.

  The input processing unit 1100 performs processing corresponding to an operation signal input to the input device 110 by the user. Also, processing corresponding to input from an input device such as the camera 200 or the microphone 300 is performed.

  The voice information input unit 1101 inputs voice information such as an impression of a certain product spoken by a customer from an input device such as the microphone 300, and performs processing corresponding to the input.

  The image information input unit 1102 inputs, as image information, an action such as a customer picking up a product or an action such as directing a line of sight to a product from an input device such as the camera 200, and performs processing corresponding to the input.

  The parameter input unit 1103 performs processing corresponding to the parameter input by the user to the input device 110. For example, when a parameter such as a specific product name or period is input via the input device 110, the sales support information analysis unit 1406 analyzes the parameter, and the sales support information generation unit 1405 determines the mind from the analysis result. Sales support information such as a map (registered trademark) is acquired and displayed on the display device 120.

  The display processing unit 1200 performs a display process of outputting a parameter input screen for generating sales support information to the display device 120. The display processing unit 1200 is an example of an output unit.

  The sales support information display unit 1201 performs display processing for outputting the sales support information to the display device 120.

  The engine unit 1400 performs recognition of input voice information and image information, morphological analysis, generation of sales support information, and the like. The engine unit 1400 can be realized by hardware including the CPU 140 and the like.

  The voice recognition unit 1401 receives voice information input from the voice information input unit 1101 and performs voice recognition processing. For example, the conversation content of the customer regarding the product is converted into text data from the voice information.

  The image analysis unit 1402 receives image information input from the image information input unit 1102 and performs image analysis processing. For example, the customer's behavior and line of sight are analyzed from the image information to identify a product that the customer is paying attention to. As a technique for recognizing an action from image information, for example, a person's action recognition from a moving image using a hidden Markov model can be used. Moreover, as a technique for recognizing the line of sight from the image information, for example, a line-of-sight detection device and a line-of-sight detection method (for example, Patent Document 4) can be used.

  The morpheme analysis unit 1403 decomposes the text data converted from the speech information by the speech recognition unit 1401 into parts of speech level words (morphemes), and generates part of speech information.

  The emotion recognition unit 1404 receives voice information input from the voice information input unit 1101, recognizes emotions, and acquires emotion information. For example, emotion information such as “joy” and “sorrow” is acquired as customer emotions recognized from voice information. As a technology for recognizing emotions from speech information, for example, a technology such as ST (Sensitivity Technology) that analyzes inflection and vocal cord states from speech and quantitatively analyzes emotions to estimate emotions is used. be able to.

  Note that the emotion recognition unit 1404 may recognize an emotion upon receiving image information input from the image information input unit 1102.

  The sales support information generation unit 1405 generates sales support information based on information in the sales support source data storage unit 1501. As sales support information, for example, there is data of a tree structure such as a mind map format in which products are associated with words (morphemes) and emotions. As the association, weighting may be performed based on the appearance frequency of a specific word (morpheme), the type of part of speech, the type of emotion, and the like.

  The sales support information analysis unit 1406 analyzes the parameters input from the parameter input unit 1103. For example, data necessary for generating sales support information such as a mind map is acquired from the sales support source data storage unit 1501 based on the input product name, period, and emotion information.

  The data storage unit 1500 stores various data used for the sales support system. All or part of the data storage unit 1500 can be realized by the external storage I / F device 130, the RAM 150, the ROM 151, the HDD 152, and the like. All or part of the data storage unit 1500 may be a storage device that can communicate with the communication processing unit 1600, for example, a network storage such as NAS (Network Attached Storage).

  The sales support source data storage unit 1501 stores information acquired by the voice recognition unit 1401, the image analysis unit 1402, the emotion recognition unit 1404, and the like in time series.

  The dictionary data storage unit 1502 stores an acoustic model, a language model, and the like used by the speech recognition unit 1401. Further, word information used in the morphological analysis unit 1404, related information between words, part of speech information, and the like are stored.

  The communication processing unit 1600 performs communication processing with input devices such as the camera 200 and the microphone 300 and other information processing terminals via the communication I / F device 160.

<Details of processing>
Below, the detail of the process of the sales support terminal 100 which concerns on this embodiment is demonstrated.

  In FIG. 1, processing will be described by taking as an example a case where sales support information is generated by the sales support terminal 100 from the conversation contents and behaviors of the customers A and B, and then the sales support information is displayed.

  First, a process until the sales support source data in the sales support source data storage unit 1501 is created will be described. The sales support source data is information serving as a basis for generating sales support information. FIG. 4 is a flowchart showing an example of sales support source data creation processing according to the present embodiment.

  In step S101 (hereinafter, “step” is omitted), the voice information input unit 1101 acquires the conversation contents of the customer collected from the microphone 300 or the like as voice information. The audio information may be acquired via the external input / output I / F device 170 such as an AV terminal, or may be acquired via the communication I / F device 160 such as a network.

  In S102, the voice recognition unit 1401 converts the voice information acquired in S101 into text data. In order to convert voice information into text data, an acoustic model and a language model stored in the dictionary data storage unit 1502 are used. For example, speech information is converted into text data by performing matching based on an acoustic model that collects sound waveform data and a language model that collects words and how they are arranged.

  In S103, the emotion recognition unit 1404 recognizes emotions such as normal, joy, sadness, laughter, and excitement from the voice information acquired in S101, and acquires emotion information.

  The emotion recognizing unit 1404 may recognize the emotion by recognizing the customer's facial expression from the image information acquired in S104 described later. Moreover, you may make it recognize an emotion based on both audio | voice information and image information. Thereby, it is possible to more accurately grasp the customer's feelings regarding the product.

  In step S <b> 104, the image information input unit 1102 acquires the customer behavior and line of sight collected from the camera 200 and the like as image information. The image information may be acquired via an external input / output I / F device 170 such as an AV terminal, or may be acquired via a communication I / F device 160 such as a network.

  Note that the image information may be a still image or a moving image, but the moving image can more accurately grasp the behavior and line of sight of the customer.

  In S <b> 105, the image analysis unit 1402 analyzes the image information acquired in S <b> 104 to identify the product that the customer is paying attention to, and acquires product information such as a product name. For example, it is possible to specify the product that the customer is paying attention to from the operations such as the direction the customer is facing, pointing, and picking up the product.

  In S106, the sales support source data storage unit 1501 generates sales support source data by associating the text data acquired in S102, the emotion information acquired in S103, and the product information acquired in S105 in time series. Thereby, it can be determined that, for example, the word “this” in the customer conversation indicates the product C. Moreover, even if the content is the same, it can be determined that the speech has different emotions. For example, it is possible to determine that the customer A has a feeling of “joy” and the customer B has a feeling of “sadness” with respect to “sweet” that the customers A and B have spoken. .

  Next, the sales support source data generated in S106 will be described.

  FIG. 5 is an explanatory diagram showing an example of sales support source data according to the present embodiment. FIG. 5B is an example of a conversation between the customer A and the customer B at a sales floor such as a department store in which the sales support system according to the present embodiment is introduced. The sales support database shown in FIG. 5A can be generated from the conversation and behavior of the customer A and the customer B in this example. That is, from the action of pointing the customer A's conversation content and the product in C51 of FIG. 5B, the product information such as text data, emotion information, and product name is time-sequentially through the processing of S101 to S106 described above. The data of D51 in FIG. Similarly, data of D52 to D55 is generated from the conversation contents and actions in C52 to C55, respectively.

  Next, processing for generating and displaying sales support information from sales support source data will be described.

  FIG. 6 is a flowchart illustrating an example of sales support information generation / display processing according to the present embodiment. When the sales support information is to be displayed on the display device 120, the product name, the period, the emotion classification, and the like are input via the input device 110. For example, “product C” is input as the product name, “all period” is input as the period to be extracted, and “joy” and “sorrow” are input as the emotion category to be extracted.

  In S201, a user (for example, a store clerk) of the sales support system inputs parameters of sales support information to be displayed.

  In S202, the sales support information analysis unit 1406 extracts data corresponding to the parameters input in S201 from the sales support source data storage unit 1501.

  In S203, the morphological analysis unit 1403 performs morphological analysis on the data extracted in S202, decomposes the data into morphemes, discriminates each part of speech, and acquires part of speech information.

  A morpheme is the smallest unit that has meaning in a language. For example, if a customer A makes a comment on a product that says “This is sweet and sour”, the text data when it says “This is sweet and sour” is “this”, “sweet”, “te”, “sour”, “yo”, “ne” Is broken down into morphemes.

  Part-of-speech information is, for example, "this" is a pronoun, "sweet" is an adjective, "te" is a particle, "supai" is an adjective, "yo" is a particle, "ne" is a participle in each morpheme .

  In S204, the sales support information analysis unit 1406 extracts data corresponding to a specific part of speech from the data subjected to morphological analysis in S203. From the viewpoint of the use of sales support information for analyzing customer needs, adjectives are preferable as parts of speech to be extracted. When it is necessary to analyze the degree and state, adverbs may be included in the extraction target together with adjectives.

  In S205, the sales support information analysis unit 1406 creates a frequency matrix based on the data extracted in S204. The customer's needs can be accurately grasped by weighting each morphological element with the appearance frequency of the morpheme during the customer's conversation and reflecting it in the sales support information. In the present embodiment, for example, during the customer conversation, “sweet” and “sour” associated with the emotion information of “joy” for the product C appear once and twice, respectively. Similarly, “sour” associated with the emotion information of “sorrow” for the product C appears once.

  Furthermore, the morphemes may be weighted by the co-occurrence relationship between the morphemes and reflected in the sales support information. A co-occurrence relationship is a relationship in which two morphemes appear together in one sentence or sentence. If there is no co-occurrence relationship, the weight can be weighted with a value of 1 or more depending on the strength of the relationship. As a result, it is possible to accurately grasp the needs of the customer.

  In S206, the sales support information generation unit 1405 generates sales support information based on the data extracted in S204 and the frequency matrix created in S205. In the present embodiment, a mind map is generated as an example of sales support information. In the mind map of the present embodiment, the product C has the emotion of “joy” and the emotion of “sorrow”, and it can be seen that there are more customers with the emotion of “joy” because of the size of each circle. . In addition, there are “sour” and “sweet” in “joy”, and it can be seen that there are many customers who have an impression of “sour” from the size of each circle. Similarly, there are customers who have an impression of “sour” in “sorrow”, and the size of the circle can be compared with the number of customers with other impressions.

  In S207, the sales support information display unit 1201 displays sales support information such as the mind map generated in S206 on the display device 120.

  The generated sales support information such as a mind map may be output to the external recording medium 130 a or transmitted to another information processing apparatus or the like via the communication processing unit 1600.

  Note that after the sales support information is generated in S206, the sales support information may be stored in the data storage unit 1500. In this case, when sales support information based on the same parameters as the input parameters is stored in the data storage unit 1500, the sales support data may be acquired from the data storage unit 1500.

As described above, in addition to the content that the customer has said directly, such as “sweet” or “sour”, in addition to the emotions such as “joy” and “sorrow”, the customer can be displayed in relation to the product. Can be grasped including potential needs.
[Second Embodiment]
<System configuration>
FIG. 7 is a configuration diagram of an example of the sales support system according to the present embodiment.

  The sales support system 20 in FIG. 7 includes an IC tag 400 and a customer terminal 500 in addition to the system configuration according to the first embodiment in order to effectively collect information on customer products.

  When the IC tag 400 is attached to a product and the customer picks up the product, information about the product can be acquired by sending information, time, and the like of the product to the sales support terminal 100. It is preferable to attach it to a product that wants to know the customer's impression, such as a newly released product.

  The customer terminal 500 is a smartphone, a tablet terminal, a mobile phone, or the like. In the present embodiment, information relating to the product can be acquired by displaying a questionnaire screen on the customer terminal 500 via the Internet website and sending the questionnaire result to the sales support terminal 100 via the network. Further, a questionnaire screen may be displayed on the customer terminal using near field communication technology such as NFC (Near Field Communication).

  It should be noted that information relating to products can be effectively collected by performing an advertisement or the like for encouraging answering a questionnaire to the digital signage described above at a store such as a store.

<Hardware configuration>
Since the hardware configuration of the sales support terminal 100 according to the present embodiment is the same as the hardware configuration of the sales support terminal 100 according to the first embodiment, the description thereof is omitted.

<Software configuration>
The sales support terminal 100 according to the present embodiment can be represented by, for example, a processing block as shown in FIG. FIG. 8 is a processing block diagram of an example of the sales support terminal according to the present embodiment.

  The processing block diagram according to this embodiment includes a tag information acquisition unit 1407, a questionnaire result acquisition unit 1408, and a questionnaire result in the engine unit 1400 of the processing block diagram (FIG. 3) of the sales support terminal 100 according to the first embodiment. The configuration further includes an analysis unit 1409.

  The sales support terminal 100 includes an input processing unit 1100, a display processing unit 1200, an engine unit 1400, a data storage unit 1500, and a communication processing unit 1600. The input processing unit 1100 includes a voice information input unit 1101, an image information input unit 1102, and a parameter input unit 1103. The display processing unit 1200 includes a sales support information display unit 1201. The engine unit 1400 includes a voice recognition unit 1401, an image analysis unit 1402, a morpheme analysis unit 1403, an emotion recognition unit 1404, a sales support information generation unit 1405, a sales support information analysis unit 1406, a tag information acquisition unit 1407, and a questionnaire result acquisition unit 1408. And a questionnaire result analysis unit 1409. The data storage unit 1500 includes a sales support source data storage unit 1501 and a dictionary data storage unit 1502.

  Of these processing blocks, description of processing blocks similar to those of the first embodiment shown in FIG. 3 is omitted.

  When the customer picks up a product with the IC tag 400 attached, the tag information acquisition unit 1407 acquires product information such as the product name of the product via the communication processing unit 1600.

  The questionnaire result acquisition unit 1408 acquires the questionnaire result sent from the customer terminal 500 via the communication processing unit 1600.

  The questionnaire result analysis unit 1409 analyzes the questionnaire result acquired by the questionnaire result acquisition unit 1408. For example, product information such as a product name or text data such as emotion information is acquired from a questionnaire result.

<Details of processing>
Below, the detail of the process of the sales support terminal 100 which concerns on this embodiment is demonstrated.

  FIG. 9 is a flowchart showing an example of sales support source data creation processing according to the present embodiment. Note that S301 to S305 are the same as S101 to S105, respectively, and a description thereof will be omitted.

  In step S306, the tag information acquisition unit 1407 acquires product information such as a product name. As a result, when the customer has a conversation with the product in hand, it can be determined that the pronoun in conversation, for example, “this” indicates the product C.

  In step S <b> 307, the questionnaire result acquisition unit 1408 acquires the questionnaire result sent from the customer terminal 500. The questionnaire result may be voice data or image data in addition to text data.

  In S308, the questionnaire result analysis unit 1409 analyzes the questionnaire result acquired in S307. For example, product information such as a product name or emotion information is acquired from the text data acquired in S307.

  In S309, the sales support source data storage unit 1501 adds the emotion information and product name acquired in S306 and S308 in addition to the text data acquired in S302, emotion information acquired in S303, and product information such as the product name acquired in S305. Sales support source data is also generated in association with product information such as time series.

  The sales support information generation / display process is the same as that of the first embodiment shown in FIG.

  As described above, according to the present embodiment, sales support information can be generated based on questionnaire results from the IC tag 400 and the customer terminal 500 in addition to the first embodiment. As a result, it is possible to more accurately grasp customer needs including potential needs.

100 Sales Support Terminal 110 Input Device 120 Display Device 130 External Storage I / F Device 130a External Storage Medium 140 CPU
150 RAM
151 ROM
152 HDD
160 Communication I / F Device 170 External Input / Output I / F Device 170a External Input / Output Device 200 Camera 300 Microphone 400 IC Tag 500 Customer Terminal 1100 Input Processing Unit 1101 Audio Information Input Unit 1102 Image Information Input Unit 1103 Parameter Input Unit 1200 Display Processing Unit 1201 sales support information display unit 1400 engine unit 1401 speech recognition unit 1402 image analysis unit 1403 morpheme analysis unit 1404 emotion recognition unit 1405 sales support information generation unit 1406 sales support information analysis unit 1407 tag information acquisition unit 1408 questionnaire result acquisition unit 1409 questionnaire Result analysis unit 1500 Data storage unit 1501 Sales support source data storage unit 1502 Dictionary data storage unit 1600 Communication processing unit

Japanese Patent No. 4672526 JP 2011-044662 A JP 2011-210100 A JP 2012-187178 A

Claims (10)

Product specifying information acquisition means for acquiring information for specifying the product from information on the product input via the input device;
Merchandise emotion information acquisition means for acquiring information representing customer emotions related to the merchandise from the merchandise information;
Related information generating means for generating information that associates information that identifies the product with information that represents customer emotions related to the product;
Output means for generating and outputting information for supporting sales based on the associated information;
A sales support terminal characterized by comprising: Having voice information input means for inputting voice information;
The sales support terminal according to claim 1, wherein the merchandise emotion information acquisition unit acquires information representing customer emotion regarding the merchandise from the voice information. From the voice information, having product impression information acquisition means for acquiring information representing customer impressions regarding the product,
The sales support terminal according to claim 2, wherein the related information generating unit associates information indicating customer impressions regarding the product with information specifying the product.   4. The sales support terminal according to claim 3, wherein the product impression information acquisition means acquires information representing customer impressions about the product from an information processing terminal possessed by the customer. Having image information input means for inputting image information;
5. The sales support terminal according to claim 1, wherein the merchandise emotion information obtaining unit obtains information representing a customer's emotion regarding the merchandise from the image information.   The sales support terminal according to claim 5, wherein the product specifying information acquisition unit acquires information for specifying the product from the image information.   The sales support terminal according to claim 6, wherein the product specifying information acquisition unit acquires information for specifying the product from a customer's line of sight in the image information.   8. The sales according to claim 1, wherein the product specifying information acquiring unit acquires information specifying the product by acquiring information from an IC tag attached to the product. Support terminal. Obtaining information identifying the product from information about the product input via the input device;
Obtaining information representing customer emotions related to the product from the information related to the product;
Generating information that associates information that identifies the product with information that represents customer emotion regarding the product;
Generating and outputting information for supporting sales based on the associated information; and
A program that causes a computer to execute. Obtaining information identifying the product from information about the product input via the input device;
Obtaining information representing customer emotions related to the product from the information related to the product;
Generating information that associates information that identifies the product with information that represents customer emotion regarding the product;
Generating and outputting information for supporting sales based on the associated information; and
An information processing method characterized by comprising:

Images