Advertisement visibility determination method, advertisement visibility determination program, and advertisement visibility determination device

Abstract

To provide an advertisement visibility determination method capable of determining whether or not a passer-by has visually recognized advertisement, without requiring a severe camera installation condition.SOLUTION: An advertisement visibility determination method includes the steps of: acquiring data in the periphery of an advertising medium including an advertising medium installation place where advertisement is installed outdoors and displayed; determining a visible range of the advertising medium on the basis of the data; acquiring positional information of a terminal device of a user in the periphery of the advertising medium; determining whether or not a first position is within the visible range; determining whether or not a second position is within the visible range; determining a user moving direction; estimating a visual field of the user at the second position on the basis of the moving direction and the second position; determining whether or not the advertisement is included in the visual field; and determining that the user visually recognizes the advertisement at the second position according to the determination that the first and second positions are within the visible range and the advertisement is included in the visual field.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to Advertisement visibility determination method and advertisement visibility determination program and Advertisement visibility determination device Regarding. [Background technology]

[0002] The value of an advertising medium is mainly evaluated based on the number of views, which is the number of people who viewed the advertisement displayed on the advertising medium. Patent Document 1 discloses an advertising effectiveness evaluation support method that uses a camera attached to the frame of the advertising medium to capture an image of the surroundings, counts the number of passersby and the number of people whose faces are facing the advertising medium using the captured image, and calculates the audience rating using the number of passersby and the number of people whose faces are facing the advertising medium. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2007-18218 A Summary of the Invention [Problem to be solved by the invention]

[0004] The method for supporting evaluation of advertising effectiveness described in Patent Document 1 requires that the camera be installed so that the range in which a person can view an advertisement is within the camera's field of view. In the method for supporting evaluation of advertising effectiveness described in Patent Document 1, the viewer rating is calculated, so even if the range in which a person can view an advertisement does not exactly match the camera's field of view, there is little impact on the accuracy of the calculation of the viewer rating. However, when the method described in Patent Document 1 is applied to the calculation of the number of views, if the range in which a person can view an advertisement does not exactly match the camera's field of view, Determining whether a person viewed an ad For this reason, when using the method described in Patent Document 1, Determine whether or not passersby around the ad have seen the ad However, there is a problem in that strict conditions must be met for the camera to be installed.

[0005] The present disclosure has been made in consideration of the above, and is directed to a method for detecting a subject without requiring strict installation conditions for the camera, Determine whether passersby have seen the advertisement can be Ad visibility determination method The purpose is to obtain [Means for solving the problem]

[0006] In order to solve the above-mentioned problems and achieve the object, an advertisement visibility determination method according to the present disclosure is executed by a computer, and includes the steps of: acquiring data on the vicinity of an advertising medium, including an installation location of the advertising medium that is installed outdoors and displays an advertisement; determining a viewable range of the advertising medium on which the advertisement is displayed based on the data; and acquiring location information indicating the location of a terminal device carried by a user who is a passerby in the vicinity of the advertising medium; wherein the location information is time-series information associated with the location time of the terminal device, and is acquired as a plurality of location information of the terminal device, including at least first location information indicating a first location of the user, and second location information indicating a second location of the user that is a location acquired next in time to the first location. , No. determining whether the second position is within a viewable range of the advertising medium; determining a moving direction of the user based on the first position and the second position; estimating a visual field of the user at the second position based on the moving direction and the second position; and determining whether an advertisement displayed on the advertising medium is included in the visual field. , No. The method includes a step of determining that the second position is within a viewable range of the advertising medium and, in response to a determination that the advertisement displayed on the advertising medium is within the field of view, determining that the user is viewing the advertisement at the second position. Effect of the Invention

[0007] The present disclosure Ad visibility determination method According to the company, the camera does not require strict installation conditions, Determine whether passersby have seen the advertisement This has the effect of making it possible. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing a configuration example of an evaluation support system according to a first embodiment. [Diagram 2]FIG. 1 is a diagram showing an example of a visible range according to the first embodiment; [Diagram 3] FIG. 1 is a diagram for explaining consideration of obstacles in the first embodiment; [Figure 4] 1 is a flowchart showing an example of an evaluation support process procedure in the evaluation support device according to the first embodiment. [Diagram 5] A diagram to explain people looking at advertising media [Figure 6] Diagram to explain a person looking at advertising media, taking into account obstacles [Figure 7] FIG. 1 is a diagram showing an example of the configuration of a computer system that realizes an evaluation support device according to a first embodiment. [Figure 8] FIG. 13 is a diagram showing a configuration example of an evaluation support system according to a second embodiment. [Figure 9] FIG. 13 is a diagram showing an example of a questionnaire according to the second embodiment. [Figure 10] FIG. 13 is a diagram for explaining a travel route in pedestrian information according to the second embodiment; [Figure 11] FIG. 13 is a diagram showing an example of passerby information according to the second embodiment; [Figure 12] FIG. 13 is a diagram showing a configuration example of an evaluation support system according to a fourth embodiment. [Figure 13] FIG. 13 is a diagram showing an example of a display screen according to the fourth embodiment; [Figure 14] FIG. 13 is a diagram showing an example of a simulation image according to the fourth embodiment; [Figure 15] FIG. 13 is a diagram showing a configuration example of an evaluation support system according to a fifth embodiment. [Figure 16] FIG. 23 is a diagram showing an example of a reception screen for receiving input of desired conditions according to the fifth embodiment. [Figure 17] FIG. 13 is a diagram showing an example of medium information according to the fifth embodiment. [Figure 18] FIG. 23 is a diagram showing an example of a display screen of proposal information according to the fifth embodiment. [Figure 19] FIG. 13 is a diagram showing an example of a map showing the installation positions of advertising media proposed in the fifth embodiment. [Figure 20] FIG. 13 is a diagram showing an example of a display screen of detailed information according to the fifth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] An evaluation support device, an evaluation support system, an evaluation support method, and a program according to the embodiments will be described in detail below with reference to the drawings.

[0010] Embodiment 1 Fig. 1 is a diagram showing a configuration example of an evaluation support system according to a first embodiment. The evaluation support system 100 of this embodiment includes an advertising medium 3 and an evaluation support device 1 that supports the evaluation of the advertising medium 3. Although one advertising medium 3 is shown in Fig. 1, the number of advertising media 3 may be one or more, and may be multiple.

[0011] The advertising medium 3 is, for example, a display on which advertisements are displayed, but is not limited thereto, and may be a non-digital medium such as a signboard on which pictures and characters are directly written. The advertising medium 3 is installed, for example, outdoors, but is not limited thereto, and may be installed indoors. The advertising medium 3 may be installed on the wall of a building or the like, or may be installed independently, and there is no particular restriction on the installation location. In the following, an example in which the advertising medium is a display on which advertisements are displayed will be mainly described, but as mentioned above, the advertising medium 3 may be a non-digital medium.

[0012] The evaluation support device 1 calculates the number of views, which is the number of people who viewed the advertising medium 3, by using a viewable range, which is a range within which the advertising medium 3 can be viewed and is defined as three-dimensional data, and people flow information indicating the flow of people around the advertising medium 3. In this way, the evaluation support device 1 can present the number of views to a service user, which is a user who uses the evaluation support device 1. The service user is, for example, an advertiser considering placing an advertisement in the advertising medium 3, an advertiser who has placed an advertisement in the advertising medium 3, an advertising agency, an organization such as a provider of the advertising medium 3, people belonging to these organizations, people requested by these organizations, etc., but is not limited to these.

[0013] In this embodiment, sensor information obtained by the sensor 2 is used as the people flow information. The sensor 2 may be any sensor capable of detecting people present within the visible range of the advertising medium 3, such as a camera (visible light camera, infrared camera), LiDAR (Light Detection And Ranging), radar, etc., but is not limited thereto. Although one sensor 2 is illustrated in FIG. 1, there may be multiple sensors 2. When multiple sensors 2 are used, multiple types of sensors 2 may be mixed. The sensor 2 may be mounted on the advertising medium 3, or may be installed separately from the advertising medium 3. A surveillance camera or the like may be used as the sensor 2. The sensor 2 may be included in the evaluation support system 100.

[0014] The evaluation support device 1 includes a range acquisition unit 11, a visual count calculation unit 12, an evaluation unit 13, an information storage unit 14, a people flow information acquisition unit 15, and a presentation unit 16. The people flow information acquisition unit 15 acquires sensor information from the sensor 2 and stores the acquired sensor information in the information storage unit 14. The sensor 2 may have a communication function, and the people flow information acquisition unit 15 may acquire the sensor information by communicating with the sensor 2, or the sensor 2 may be connected to another device such as a communication device (not shown), and the people flow information acquisition unit 15 may acquire the sensor information via the other device. The communication performed by the people flow information acquisition unit 15 may be wireless communication, wired communication, or both wireless communication and wired communication.

[0015] The range acquisition unit 11 acquires the viewable range of the advertising medium 3, and outputs the acquired viewable range to the view count calculation unit 12. The range acquisition unit 11 may store the viewable range in the information storage unit 14, and the viewable range calculation unit 12 may read out the viewable range from the information storage unit 14 when using the viewable range. When there are multiple advertising media 3 that are the subject of evaluation support by the evaluation support device 1, the range acquisition unit 11 acquires the viewable range for each advertising medium 3.

[0016] The range acquisition unit 11 may acquire the visible range by accepting a visible range input manually, or may acquire the visible range by receiving the visible range from another device (not shown). The range acquisition unit 11 may acquire the visible range by calculating the visible range based on three-dimensional surrounding data, which is at least one of three-dimensional map data and three-dimensional measurement data, and the viewing angle of the advertising medium 3. That is, the visible range may be determined based on at least one of three-dimensional map data and three-dimensional measurement data. The viewing angle of the advertising medium 3 is the vertical and horizontal angle range in which the advertising medium 3 can be viewed when there are no obstacles around the advertising medium 3, and may be a specification value or may be actually measured by a test or the like when there are no obstacles around the advertising medium 3.

[0017] When the range acquisition unit 11 calculates the visible range based on the three-dimensional peripheral data, for example, the three-dimensional peripheral data is acquired by receiving the data from another device (not shown), but the method of acquiring the three-dimensional peripheral data is not limited thereto. The other device may be a measuring device that acquires three-dimensional measurement data, or an information processing device that provides three-dimensional measurement data, three-dimensional map data, and the like. An example of the three-dimensional map data is, for example, PLATEAU by the Ministry of Land, Infrastructure, Transport and Tourism, but is not limited thereto. The three-dimensional measurement data is, for example, three-dimensional point cloud data acquired by LiDAR, a stereo camera, a three-dimensional scanner, and the like, but is not limited thereto.

[0018] FIG. 2 is a diagram showing an example of the visible range of this embodiment. The visible range of this embodiment is a range in which the advertising medium 3 can be viewed when a person faces the advertising medium 3. In detail, for example, the visible range is a range in which the advertising medium 3 can be viewed when the person's eyes are in the visible range and face the advertising medium 3, but is not limited thereto. The range 200 shown in FIG. 2 shows the visible range of the advertising medium 3. As shown in FIG. 2, in this embodiment, the visible range is defined three-dimensionally. That is, the visible range is defined as three-dimensional data. The visible range is indicated by, for example, three-dimensional coordinate values. The visible range indicated by the three-dimensional coordinate values ​​may be displayed by a map viewer or the like together with a three-dimensional map of the periphery of the advertising medium 3. This display may be performed by the presentation unit 16, or the visible range indicated by the three-dimensional coordinate values ​​may be transmitted to an external device, so that the external device may display the visible range together with the three-dimensional map. It should be noted that the range 200 shown in FIG. 2 is merely an image of the visible range, and the actual visible range is not limited to this example.

[0019] If the visible range is defined in two dimensions, i.e., in a horizontal plane, based on the viewing angle of the advertising medium 3, the height of the advertising medium 3 is not taken into consideration. In particular, when the advertising medium 3 is installed outdoors, the advertising medium 3 may be installed at a certain height, and the range in which the advertising medium 3 can be viewed varies depending on the installation height. A visible range defined in two dimensions, taking into consideration only the field of view in a horizontal plane without considering the height direction, cannot accurately represent whether the advertising medium 3 can actually be viewed. In this embodiment, by defining the visible range in three dimensions, the visible range can be defined more accurately than when defined in two dimensions.

[0020] The visible range may also be defined taking into consideration obstacles such as buildings, plants, etc. In Fig. 2, obstacles such as buildings 4 and plants 5 exist around the advertising medium 3, and depending on the height at which the advertising medium 3 is installed and the height of the obstacles, the advertising medium 3 may not be visible even if it is within the visual field of the advertising medium 3. For this reason, the visible range may be determined taking the obstacles into consideration.

[0021] FIG. 3 is a diagram for explaining the consideration of obstacles in this embodiment. FIG. 3 is a diagram showing the advertising medium 3 and the periphery of the advertising medium 3 from above. FIG. 3 shows an example in which an area in which the advertising medium 3 cannot be seen exists even within the range of the field of view of the advertising medium 3 due to the presence of an obstacle. In the example shown in FIG. 3, the advertising medium 3 cannot be seen in an area 201 in which an obstacle exists and an area 202 in which the advertising medium 3 cannot be seen due to the shadow of the obstacle. Therefore, the visible range can be more appropriately defined by setting the range 200, which is the range in which the areas 201 and 202 are excluded from the range of the field of view of the advertising medium 3, as the visible range. Note that FIG. 3 shows the concept of considering obstacles and does not show the actual shapes of the range 200, the area 201, and the area 202.

[0022] Depending on the height of the advertising medium 3 and the height of the obstacle, there may be an area where the advertising medium 3 is visible at a position farther from the advertising medium 3 than the shadow area 202, and in such a case, the area is also within the visible range. For example, the visible range considering the obstacle can be obtained by tracing a ray of light that is the range of the visual field of the advertising medium 3 starting from the advertising medium 3, that is, using three-dimensional surrounding data, but the method of determining the visible range is not limited to this. The visible range may be input to the evaluation support device 1 as described above, and in this case, the visible range (data indicating the visible range) defined in three dimensions based on the visual angle of the advertising medium 3 is generated by an external device not shown or manually, and the generated visible range is input to the evaluation support device 1. When the only subjects to be considered in the evaluation of the advertising medium 3 are passersby passing on the ground, the visible range may be determined based on the maximum expected human height, excluding the range above the maximum expected human height.

[0023] Returning to the description of FIG. 1, the view number calculation unit 12 calculates the number of views of the advertising medium 3 using the viewable range received from the range acquisition unit 11 and the sensor information read from the information storage unit 14, and outputs the calculated number of views to the evaluation unit 13. The view number calculation unit 12 includes a gaze estimation unit 121 and a counting unit 122. The gaze estimation unit 121 identifies people present within the viewable range using the viewable range and the sensor information, and estimates the gaze (gaze direction) of the identified people. The counting unit 122 counts the number of gazes directed at the advertising medium 3 among the gazes estimated by the gaze estimation unit 121, and calculates the number of views based on the counting result. The view number calculation unit 12 may output not only the number of views, but also data obtained in the process of calculating the number of views (hereinafter, also referred to as intermediate data) to the evaluation unit 13. The view number calculation unit 12 may also store the calculated number of views, data obtained in the process of calculating the number of views, and the like in the information storage unit 14. The calculation of the number of views by the number-of-views calculation unit 12 will be described later in detail.

[0024] The evaluation unit 13 calculates an evaluation value of the advertising medium 3 using the number of views acquired from the number of views calculation unit 12. The evaluation unit 13 may calculate an evaluation value of the advertising medium 3 using intermediate data acquired from the number of views calculation unit 12, or may calculate an evaluation value of the advertising medium 3 using the number of views and intermediate data acquired from the number of views calculation unit 12. The evaluation unit 13 may calculate multiple types of evaluation values, and some of the multiple evaluation values ​​may be calculated based on data other than the number of views and the intermediate data. The evaluation unit 13 may include the number of views itself and the intermediate data itself acquired from the number of views calculation unit 12 in the evaluation value. Details of the calculation of the evaluation value by the evaluation unit 13 will be described later.

[0025] The evaluation unit 13 stores the calculated evaluation value in the information storage unit 14 as a part of the medium information. The medium information is information about the advertising medium 3, and includes, for example, the identification information of the advertising medium 3, the installation position of the advertising medium 3, and the evaluation value of the advertising medium 3. The identification information of the advertising medium 3 is, for example, but is not limited to, the name of the advertising medium 3. When there are multiple advertising media 3, the identification information of the advertising medium 3, the installation position of the advertising medium 3, the evaluation value of the advertising medium 3, and the like are stored in the information storage unit 14 as medium information for each advertising medium. The evaluation value of the advertising medium 3 is calculated by the evaluation unit 13 as described above. The number of views calculated by the view number calculation unit 12, or the number of views and intermediate data are stored in the information storage unit 14 by the evaluation unit 13 or the view number calculation unit 12 as an evaluation value in the medium information. Alternatively, the number of views calculated by the view number calculation unit 12, or the number of views and intermediate data may be stored in the information storage unit 14 as a part of the medium information separately from the evaluation value.

[0026] The presentation unit 16 presents the information stored in the information storage unit 14. The presentation unit 16 presents, for example, the number of views. The information to be presented may be predetermined, or the presentation unit 16 or an input receiving unit (not shown) may receive designation of the information to be presented from the service user, and the presentation unit 16 may present the information designated by the service user. For example, the presentation unit 16 displays the information stored in the information storage unit 14 to present the information to the service user, who is a user using the evaluation support device 1. The presentation unit 16 may also present the information to the service user, who is a user using the evaluation support device 1, by transmitting the information stored in the information storage unit 14 to at least one of a display device (not shown) and a terminal device (not shown) operable by the service user. The display device and the terminal device (not shown) operable by the service user display the information when they receive the information from the evaluation support device 1. The terminal device (not shown) operable by the service user may be, for example, a personal computer, a smartphone, a tablet, or the like, or may be a computer system managed by an organization that is a service user, but is not limited to these.

[0027] The information storage unit 14 stores the sensor information, the ratio information, and the medium information. The ratio information indicates various ratios used for the calculation of the number of views in the view number calculation unit 12 and the calculation of the evaluation value in the evaluation unit 13. The ratio information will be described in detail later.

[0028] 1 shows an example in which the evaluation support device 1 includes the evaluation unit 13, but the present invention is not limited thereto, and the evaluation support device 1 may not include the evaluation unit 13. For example, the service user may evaluate the advertising medium 3 using the number of views calculated by the evaluation support device 1 itself as an evaluation value, or may evaluate the advertising medium 3 by calculating another evaluation value using the number of views calculated by the evaluation support device 1.

[0029] Next, the operation of this embodiment will be described. FIG. 4 is a flowchart showing an example of an evaluation support processing procedure in the evaluation support device 1 of this embodiment. As shown in FIG. 4, the evaluation support device 1 acquires a viewable range (step S1). In detail, the range acquisition unit 11 acquires a viewable range defined as three-dimensional data, and outputs the acquired viewable range to the view number calculation unit 12. As described above, the viewable range may be input manually, or may be calculated by the range acquisition unit 11 based on three-dimensional surrounding data, which is at least one of three-dimensional map data and three-dimensional measurement data, and the viewing angle of the advertising medium 3.

[0030] The evaluation support device 1 acquires sensor information (step S2). In detail, the people flow information acquisition unit 15 acquires the sensor information by receiving the sensor information from the sensor 2, and stores the acquired sensor information in the information storage unit 14.

[0031] The evaluation support device 1 identifies people within the visible range (step S3). In detail, the gaze estimation unit 121 of the visible number calculation unit 12 identifies people within the visible range using the visible range received from the range acquisition unit 11 and the sensor information stored in the information storage unit 14. Note that one sensor 2 may cover the entire visible range, or the visible range may be covered by multiple sensors 2. That is, one sensor 2 may be capable of detecting the entire visible range, or the visual field ranges of the multiple sensors 2 may be complementary to each other, so that the entire visible range may be detected by the multiple sensors 2.

[0032] The gaze estimation unit 121 detects a person in the visual field of the sensor 2, for example, by using sensor information. For example, when the sensor 2 is a camera, the gaze estimation unit 121 may detect a person by extracting an area corresponding to a predetermined human feature from an image captured by the camera through image analysis, or may detect a person using a trained model generated by machine learning for detecting a person. In addition, the gaze estimation unit 121 may detect a person by recognizing a face through face recognition processing, or may detect a human skeleton using a skeleton model. Note that the method of detecting a person by the gaze estimation unit 121 is not limited to these, and any method may be used. Even when the sensor 2 is not a camera, the detection of a person is performed by a method according to the type of the sensor 2.

[0033] The gaze estimation unit 121 specifies the position of the detected person in the coordinate system of the sensor 2. Note that when the sensor 2 acquires two-dimensional data such as a monocular camera, the position in the depth direction cannot be measured. However, for example, the three-dimensional position of the detected person may be obtained based on the size of a general person, or the three-dimensional position of the detected person may be obtained using sensor information of multiple sensors 2. The gaze estimation unit 121 aligns the sensor 2 with the visible range, and identifies the person within the visible range after the alignment. For example, when the visible range is defined by the position of the eyes, the gaze estimation unit 121 obtains the position of the detected person's eyes, and uses the position of the sensor 2 and the visual field range of the sensor 2 to convert the three-dimensional position of the person's eyes from the coordinate system of the sensor 2 to a coordinate system representing the visible range, and determines whether the three-dimensional position of the person's eyes after the coordinate conversion is within the visible range, thereby specifying the person within the visible range. The three-dimensional position of the person's eyes may be determined by face recognition processing, skeletal detection, or the like, or may be determined based on the position of the person in the horizontal direction calculated based on the sensor information and the average height of the person's eyes.

[0034] In addition, when a plurality of sensors 2 are used, there is a possibility that the same person may be detected by the sensor information acquired by each sensor 2, so the gaze estimation unit 121 determines whether the person detected from the sensor information is the same person as the person detected from the sensor information of the other sensors 2. Then, the gaze estimation unit 121 uses the determination result to identify the person within the visible range by treating the same person as one person. In addition, the person identified by the gaze estimation unit 121 as being within the visible range (the person within the visible range) is also called OTS (Opportunity To See), and the number of OTS may be used to evaluate the advertising medium 3 or to calculate the evaluation value. The gaze estimation unit 121 may output the number of people within the visible range to the evaluation unit 13 as intermediate data. In addition, the gaze estimation unit 121 may store the number of people within the visible range in the information storage unit 14 as part of the medium information or separately from the medium information.

[0035] Even if the evaluation support device 1 uses the sensor information of all the sensors 2 from which the sensor information is acquired, there may be a range in the visible range that cannot be detected by the sensor 2. That is, even if the visual field ranges of all the sensors 2 are combined, there may be a range in the visible range that is not the visual field range of the sensor 2. That is, in this case, since the gaze estimation unit 121 cannot detect all people in the visible range, an adjustment is made, for example, using a predetermined coefficient in the calculation of the number of sightings described later. In this case, the coefficient is determined by a demonstration experiment or the like, and is stored in the information storage unit 14 as a part of the ratio information.

[0036] Next, the evaluation support device 1 estimates the gaze (step S4). In detail, the gaze estimation unit 121 estimates the gaze (gaze direction) of the person identified as existing within the visible range. The gaze may be calculated using a skeletal model, or when the sensor information is an image, it may be calculated by determining the face direction by image processing. Furthermore, when the sensor information is acquired in time series, that is, when multiple pieces of sensor information corresponding to different times are acquired, the gaze estimation unit 121 may obtain the movement direction of the person identified as existing within the visible range, obtain the body orientation from the movement direction, and estimate the gaze by assuming that the body orientation is the face orientation.

[0037] Next, the evaluation support device 1 calculates the number of people looking at the advertising medium 3 (step S5). In detail, the counting unit 122 of the view count calculation unit 12 counts the number of people looking at the advertising medium 3 based on the estimation result of the gaze estimation unit 121. FIG. 5 is a diagram for explaining people looking at the advertising medium 3. The human-shaped figures shown in FIG. 5 indicate people within the visible range of the advertising medium 3, and the arrows indicate the direction of the gaze. The solid arrows indicate people who have the advertising medium 3 in their gaze, that is, people who are looking at the advertising medium 3, and the dashed arrows indicate people who do not have the advertising medium 3 in their gaze, that is, people who are not looking at the advertising medium 3.

[0038] Also, the number of people looking toward the advertising medium 3 may be calculated taking into account obstacles. FIG. 6 is a diagram for explaining people looking toward the advertising medium 3 taking into account obstacles. Like the person whose gaze is indicated by a dashed line in FIG. 6, a person whose gaze is directed toward the advertising medium 3 but cannot see the advertising medium 3 due to being shaded by an obstacle may be excluded from people looking toward the advertising medium 3. Note that when obstacles are taken into account when defining the visible range, that is, when the visible range is determined taking into account obstacles as a position where the advertising medium 3 can be seen if the eye position is present and the gaze is directed toward the advertising medium 3, the obstacles are already taken into account in the definition of the visible range. For this reason, in this case, the counting unit 122 may determine whether the gaze is directed toward the advertising medium 3 without taking obstacles into account based on the direction of the gaze.

[0039] In addition, people looking at the advertising medium 3 are also called OTCs (Opportunity To Contact), and the number of OTCs may be used to evaluate the advertising medium 3 or to calculate an evaluation value. The gaze estimation unit 121 may output the number of people looking at the advertising medium 3 to the evaluation unit 13 as intermediate data. In addition, the gaze estimation unit 121 may store the number of people looking at the advertising medium 3 in the information storage unit 14 as part of the medium information or separately from the medium information.

[0040] The gaze estimation unit 121 may estimate the attributes of the OTC or OTS based on the sensor information, and store attribute information indicating the estimated attributes as medium information in the information storage unit 14. For example, when the sensor 2 includes a camera, attributes such as gender and age of each of the OTC and OTS may be estimated using an image acquired by the camera, and the number of people for each attribute may be stored as attribute information in the information storage unit 14, or the ratio of attributes such as the gender ratio may be stored as attribute information in the information storage unit 14.

[0041] Returning to the explanation of Fig. 4, the evaluation support device 1 calculates the number of views (step S6). In detail, the counting unit 122 calculates the number of views by multiplying the number of people counted in step S5 by the determined visibility rate read from the information storage unit 14, and outputs the calculated number of views to the evaluation unit 13. The number of views is the number of people estimated to have actually viewed the advertising medium 3 (the advertisement displayed on the advertising medium 3). The visibility rate is stored in the information storage unit 14 as ratio information.

[0042] The number of people who are estimated to have actually viewed the advertising medium 3 is also called a VAC (Visibility Adjusted Contact) or an impression. The number of people of VAC can be calculated by multiplying the number of people of OTC by the ratio (visibility rate) of people who are estimated to have viewed the advertisement (advertisement displayed on the advertising medium 3). The visibility rate is calculated in advance, for example, by an experiment using an eye tracking camera, but the method of calculating the visibility rate is not limited to this and may be any method. The counting unit 122 may store the number of views in the information storage unit 14 as a part of the medium information. Note that, if there is a range in the visible range that cannot be detected by the sensor 2, the counting unit 122 calculates the number of views by multiplying the number of people counted in step S5 by the visibility rate and the coefficient included in the ratio information described above. Note that, by the above-mentioned method, the number of views can be calculated in units of the acquisition cycle of the sensor information. When calculating the number of views in a long unit time such as one hour, one day, or one week, the counting unit 122 may calculate the number of views in the unit time by tallying up the calculated number of views for the unit time. In this case, the number-of-views calculation unit 12 may identify the same person detected in multiple different time periods within the unit time and treat them as one person.

[0043] In this embodiment, the number of sightings is calculated using the visible range defined as three-dimensional data and the sensor information, so that it is not necessary to install a camera to match the visible range of the advertising medium 3, and the number of sightings can be calculated without strict installation conditions for the camera. In addition, when estimating the gaze using face recognition processing using a camera image, the camera needs to capture the front of the person, but if the OTS is specified by the direction of the body or face using a skeleton model, or the gaze is estimated based on the movement direction, the number of sightings calculation unit 12 can estimate the gaze even if the direction of the sensor 2 cannot detect the front of the person. Note that the number of sightings calculation unit 12 may estimate the gaze by combining two or more of the face recognition processing, the estimation using the skeleton model, and the estimation using the movement direction. Therefore, the evaluation support device 1 of this embodiment can estimate the number of sightings using the sensor 2 installed in various positions and orientations, such as a surveillance camera installed in a position different from the advertising medium 3.

[0044] Next, the evaluation support device 1 calculates an evaluation value (step S7). In detail, the evaluation unit 13 calculates an evaluation value for evaluating the advertising medium 3 using the number of views, and stores the calculated evaluation value in the information storage unit 14 as a part of the medium information. The evaluation unit 13 may calculate the evaluation value, for example, using the advertising price set for the advertising medium 3 and the number of views. The advertising price is a usage fee for the advertising medium, and is also called the advertisement posting price. Specifically, the evaluation unit 13 calculates, as the evaluation value, a cost per viewer obtained by dividing the advertising price by the number of views. In this case, the advertising price is stored in advance in the information storage unit 14 as medium information. The evaluation unit 13 may also calculate a viewer rating (advertising viewer rating) which is a ratio of the number of views (number of people in the VAC) to the number of people within the viewable range (number of people in the OTS).

[0045] The evaluation unit 13 may calculate the evaluation value using intermediate data such as the number of OTC users and the number of OTS users calculated by the view count calculation unit 12. As described above, the view count (the number of VACs, the number of impressions) itself may be used as the evaluation value, or the intermediate data itself may be used as the evaluation value. The evaluation value calculated by the evaluation unit 13 is not limited to the above-mentioned example, and may include CPM (Cost Per Mille: impression cost), reach click count, CTR (Click Through Rate: click rate), CPC (Cost Per Click: click cost), CV (Conversion: number of conversions), CVR (Conversion Rate: conversion rate), number of sessions, CPA (Cost Per Acquisition: conversion cost), etc. Regarding the evaluation value using a click-related numerical value, for example, the number of views, the number of OTC users, the number of OTS users, etc. may be used in place of the click-related numerical value as appropriate according to the evaluation value.

[0046] The evaluation support device 1 presents the calculation result (step S8) and ends the process. In detail, the presenting unit 16 presents the number of views, intermediate data, evaluation value, etc. stored in the information storage unit 14 to the service user. As described above, the number of views and intermediate data may be included in the evaluation value.

[0047] Note that FIG. 4 is an example, and the order of each process is not limited to the example shown in FIG. 4. For example, in FIG. 4, step S8 is presented after the evaluation value is calculated, but if the service user wants to check the number of views and intermediate data, step S8 may be presented before the evaluation value is calculated. In this way, the timing of presenting each piece of information to the service user is not limited to the example shown in FIG. 4. Also, step S1 may be performed at a timing different from the timing of the processes after step S2. Step S1 may be performed when the advertising medium 3 is added or deleted, the specifications of the advertising medium 3 are changed, or the situation around the advertising medium 3 is changed, or it may be performed at regular intervals such as every six months.

[0048] Next, a hardware configuration of the evaluation support device 1 of this embodiment will be described. In the evaluation support device 1 of this embodiment shown in FIG. 1, a computer system functions as the evaluation support device 1 by executing a program, which is a computer program describing the processing in the evaluation support device 1, on the computer system. FIG. 7 is a diagram showing an example of the configuration of a computer system that realizes the evaluation support device 1 of this embodiment. As shown in FIG. 7, this computer system includes a control unit 101, an input unit 102, a storage unit 103, a display unit 104, a communication unit 105, and an output unit 106, which are connected via a system bus 107. The control unit 101 and the storage unit 103 form a processing circuit.

[0049] In FIG. 7, the control unit 101 is, for example, a processor such as a CPU (Central Processing Unit), and executes a program in which the processing in the evaluation support device 1 of the present embodiment is described. Note that a part of the control unit 101 may be realized by dedicated hardware such as a GPU (Graphics Processing Unit) or an FPGA (Field-Programmable Gate Array). The input unit 102 is a button, a keyboard, a mouse, a touchpad, or the like. The storage unit 103 includes various memories such as a RAM (Random Access Memory), a ROM (Read Only Memory), and a storage device such as a hard disk, and stores the program to be executed by the control unit 101, necessary data obtained in the process of processing, and the like. The storage unit 103 is also used as a temporary storage area for the program. The display unit 104 is, for example, a display, such as an LCD (Liquid Crystal Display: liquid crystal display panel). Note that the display unit 104 and the input unit 102 may be integrated and realized by a touch panel or the like. The communication unit 105 is a receiver and a transmitter that perform communication processing. The output unit 106 is a speaker or the like. Note that Fig. 7 is an example, and the configuration of the computer system is not limited to the example of Fig. 7. For example, the computer system realizing the evaluation support device 1 does not need to include the input unit 102, the display unit 104, and the output unit 106.

[0050] Here, an example of the operation of the computer system until the program of this embodiment is in an executable state will be described. In the computer system having the above-mentioned configuration, for example, a computer program is installed in the storage unit 103 from a CD-ROM or DVD-ROM set in a CD (Compact Disc)-ROM drive or DVD (Digital Versatile Disc)-ROM drive (not shown). Then, when the program is executed, the program read from the storage unit 103 is stored in the main storage area of ​​the storage unit 103. In this state, the control unit 101 executes the process as the evaluation support device 1 of this embodiment according to the program stored in the storage unit 103.

[0051] In the above description, a program describing the processing in the evaluation support device 1 is provided on a CD-ROM or DVD-ROM as a recording medium. However, this is not limited to this, and depending on the configuration of the computer system, the capacity of the program to be provided, etc., it is also possible to use a program provided via a transmission medium such as the Internet.

[0052] The program of this embodiment, for example, causes a computer system to execute the steps of acquiring people flow information indicating the flow of people around the advertising medium 3, acquiring a viewable range, and calculating a view count, which is the number of people who viewed the advertising medium 3, using the viewable range and the people flow information.

[0053] The number-of-views calculation unit 12 and the evaluation unit 13 shown in FIG. 1 are realized by executing a computer program stored in the storage unit 103 shown in FIG. 7 by the control unit 101 shown in FIG. 7. The storage unit 103 shown in FIG. 7 is also used to realize the number-of-views calculation unit 12 and the evaluation unit 13. The range acquisition unit 11 shown in FIG. 1 may be realized by at least one of the input unit 102 and the communication unit 105, or may be realized by the control unit 101 shown in FIG. 7. The people flow information acquisition unit 15 shown in FIG. 1 is realized by the communication unit 105 shown in FIG. 7. The presentation unit 16 shown in FIG. 1 is realized by at least one of the display unit 104 and the communication unit 105 shown in FIG. 7. The presentation unit 16 shown in FIG. 1 may be realized by the control unit 101 shown in FIG. 7 or the input unit 102 shown in FIG. The evaluation support device 1 may be realized by a plurality of computer systems. For example, the evaluation support device 1 may be realized by a cloud computer system.

[0054] As described above, in this embodiment, the evaluation support device 1 calculates the number of views by using the viewable range defined as three-dimensional data and the sensor information. Therefore, it is not necessary to install a camera so as to match the viewable range of the advertising medium 3, and it is possible to calculate the number of views without requiring strict installation conditions for the camera.

[0055] Embodiment 2 FIG. 8 is a diagram showing a configuration example of an evaluation support system according to the second embodiment. The evaluation support system 100a according to the present embodiment includes an evaluation support device 1a and an advertising medium 3. The advertising medium 3 is the same as that according to the first embodiment. The evaluation support device 1a is the same as that according to the first embodiment, except that it includes a view count calculation unit 12a instead of the view count calculation unit 12, and the people flow information acquisition unit 15 uses people flow information provided by the people flow information providing device 6 instead of sensor information as people flow information. Components having the same functions as those according to the first embodiment are given the same reference numerals as those according to the first embodiment, and duplicated explanations are omitted. Below, differences from the first embodiment are mainly explained.

[0056] In this embodiment, the people flow information acquisition unit 15 acquires people flow information from the people flow information providing device 6 and stores the acquired people flow information in the information storage unit 14. The people flow information providing device 6 provides people flow information indicating the flow of people around the advertising medium 3. People such as passersby around the advertising medium 3 are audiences that advertisers, advertising agencies, etc. want to view advertisements displayed on the advertising medium 3, and hereinafter, people around the advertising medium 3 are also referred to as passersby or general users.

[0057] The people flow information provided by the people flow information providing device 6 may be, for example, a questionnaire response obtained from a terminal device 7 that can be operated by a general user who is a passerby, and location information indicating the location of the terminal device 7. The terminal device 7 is, for example, a smartphone, a tablet, a personal computer, or the like, and is a terminal device carried by a general user. The terminal device 7 is equipped with a location detection device that detects its own location, such as a GPS (Global Positioning System) receiver. The location information is, for example, time-series information associated with the location time of the terminal device 7, and the terminal device 7 transmits the location information to the people flow information providing device 6. The questionnaire is, for example, distributed to the terminal devices 7 in the vicinity of the advertising medium 3, and the general user inputs a response by operating the terminal device 7, and the terminal device 7 transmits the inputted response to the people flow information providing device 6.

[0058] The questionnaire includes a question asking whether or not the advertising medium 3 has been viewed, that is, whether or not the advertising medium 3 has been seen. FIG. 9 is a diagram showing an example of a questionnaire in this embodiment. In the example shown in FIG. 9, three options for an advertisement displayed on a certain advertising medium 3 (indicated as XX in FIG. 9), namely, "saw (are seeing)", "may have seen", and "did not see", are displayed on the terminal device 7. A general user selects an answer from among the options by operating the terminal device 7. The terminal device 7 transmits the answer to the questionnaire to the people flow information providing device 6. Note that the number of options when asking whether or not the advertising medium 3 has been viewed is not limited to the example shown in FIG. 9, and two options of "saw" or "did not see" may be displayed, or four or more options may be displayed.

[0059] The questionnaire may also include questions about attributes of general users. The attributes include, for example, at least one of gender and age. The attributes are not limited to this, and may also include age, hobbies, occupation, educational background, annual income, assets, place of residence, place of work, nationality, family structure, hobbies / preferences / lifestyle, health condition, etc. Note that, although two terminal devices 7 are illustrated in FIG. 8, the number of terminal devices 7 is not limited to this.

[0060] Furthermore, the people flow information provided by the people flow information providing device 6 may be information indicating the number of passersby (number of passersby) or may be location information obtained from a terminal device 7 that can be operated by a general user. The people flow information provided by the people flow information providing device 6 may be information indicating the flow of people around the advertising medium 3, and is not limited to these. Hereinafter, the survey result and location information are also referred to as survey information, and information indicating the number of passersby is also referred to as passerby information. The people flow information provided by the people flow information providing device 6 may be two or more of the survey information, the passerby information, and the location information of the terminal device 7. Furthermore, a people flow information providing device 6 may be provided for each type of people flow information, and the people flow information acquiring unit 15 may acquire each type of people flow information from the people flow information providing device 6.

[0061] The passerby information may be information indicating the flow of people for each moving route, that is, the number of passersby for each moving route. The moving route is represented by the section and the direction of movement, such as a route moving toward Y in the section from X to Y on the road A. FIG. 10 is a diagram for explaining the moving routes in the passerby information of this embodiment. The moving routes R-1 to R-14 shown in FIG. 10 are examples of moving routes around the advertising medium 3. The direction of the arrow indicates the direction of movement of the passerby. FIG. 11 is a diagram showing an example of the passerby information of this embodiment. In the example shown in FIG. 11, the passerby information includes the number of passersby in each time period for each moving route shown in FIG. 10. FIG. 10 is an example, and the definition of each moving route is not limited to the example shown in FIG. 10.

[0062] In addition, the passerby information may be calculated based on the results of actual measurements by a camera or the like, may be acquired by a traffic volume survey, or may be an analysis result calculated based on the location information of a smartphone or the like, such as Mobile Space Statistics (registered trademark). The analysis result may be calculated for each day of the week, season, weather, or the like. In addition, the passerby information may include attribute information regarding the attributes of passersby. For example, based on a questionnaire conducted in the past, the ratio of attributes such as the gender ratio (gender composition) and age ratio (age composition) of passersby may be calculated, and these ratios may be included in the passerby information as attribute information, or the number of passersby may be calculated as the number of people for each attribute. Note that the method of determining the number of passersby and the method of determining the attribute information in the number of passersby are not limited to these examples.

[0063] The view count calculation unit 12a calculates the number of views using the same viewable range as in the first embodiment and the people flow information stored in the information storage unit 14. In the first embodiment, the view count calculation unit 12 calculates the number of views at the time (period) when the advertising medium 3 is evaluated, but in the present embodiment, the view count calculation unit 12a may calculate the number of views in order to calculate the visibility rate described in the first embodiment. That is, the view count calculation unit 12a performs at least one of the calculation of the number of views at the time when the advertising medium 3 is evaluated and the calculation of the number of views for calculating the visibility rate.

[0064] Here, first, the process of the visible number calculation unit 12a when the people flow information includes the questionnaire information will be described. When the people flow information includes the questionnaire information, the visible number calculation unit 12a uses the visible range and the position information in the questionnaire information to identify answering users who passed through the visible range among answering users corresponding to the position information. That is, the visible number calculation unit 12a uses the position information and the visible range to identify people who passed through the visible range among passersby corresponding to the questionnaire answer (answer information). The answering users are general users who answered the questionnaire. The visible number calculation unit 12a calculates the number of answering users who existed within the visible range per unit time based on the result of the determination. The answering users who existed within the visible range are general users who answered the questionnaire in the OTS.

[0065] Next, the view count calculation unit 12a estimates the gaze of the answering user who was in the visible range based on the position information. For example, the view count calculation unit 12a uses the position information to obtain the moving direction of the answering user, and estimates the gaze based on the moving direction. The view count calculation unit 12a uses the gaze estimation result to identify people who were looking toward the advertising medium 3 among the answering users who were in the visible range, and calculates the number of people who were looking toward the advertising medium 3 using the identification result. In this way, the view count calculation unit 12a calculates the number of people who had the opportunity to view, who were looking toward the advertising medium 3, using the position information corresponding to the people identified as having passed through the visible range. The people who were looking toward the advertising medium 3 among the answering users who were in the visible range are general users of OTC who answered the questionnaire.

[0066] Next, the view count calculation unit 12a calculates the number of views of the advertising medium 3 using the questionnaire responses corresponding to those of the responding users who were within the viewable range and looked toward the advertising medium 3. The calculated number of views is the number of general users who answered the questionnaire among the VAC. Note that, as illustrated in FIG. 9, in the case where not only "saw" or "did not see" but also intermediate options such as "may have seen the advertisement" are included, the view count calculation unit 12a may calculate the number of views by regarding the intermediate answers as a number less than 1, such as 0.5 people or 0.75 people, rather than counting them as 1 person.

[0067] The view count calculation unit 12a calculates the visibility rate by dividing the number of views of the advertising medium 3 by the number of people looking at the advertising medium 3. In this way, the view count calculation unit 12a calculates the number of view responses, which is the number of survey responses indicating that the advertising medium 3 was viewed among the survey responses corresponding to the viewing opportunity holders, and calculates the visibility rate based on the number of viewing opportunity holders and the number of view responses. Although the answering users who existed within the viewable range are not all general users who existed within the viewable range, if the number of answering users is sufficient, the visibility rate calculated for the answering users can be considered to be the same as the visibility rate targeting all general users. For example, the number of answering users who are statistically significant based on an allowable error is set as a threshold value, and in the case where the answering users are the threshold value, the visibility rate is calculated by dividing the number of views of the advertising medium 3 by the number of people looking at the advertising medium 3, as described above. In this way, the visibility rate may be calculated based on the location information of the terminal device 7 carried by the passerby who passed around the advertising medium 3, and the questionnaire response (response information) input by the passerby, including information indicating whether or not the passerby viewed the advertising medium. The method of determining the threshold value of the responding users is not limited to this example.

[0068] The view count calculation unit 12a stores the calculated view rate as ratio information in the information storage unit 14. For example, this view rate may be used when the evaluation support device 1a calculates the number of views at the time of evaluation of the advertising medium 3, or may be used to calculate the number of views in a device that calculates the number of views in a manner similar to that of the evaluation support device 1 of the first embodiment. Note that the people flow information acquisition unit 15 of the evaluation support device 1a may further acquire sensor information from the sensor 2 described in the first embodiment, and the view count calculation unit 12a may also have the function of the view count calculation unit 12 of the first embodiment. In this case, the view rate calculated using the questionnaire information described in the present embodiment may be used when the view count calculation unit 12a calculates the number of views described in the first embodiment.

[0069] In addition, the view count calculation unit 12a may calculate a meeting probability, which is the ratio of the number of OTS users to the number of OTC users, by dividing the number of responding users who were within the visible range and were looking toward the advertising medium 3 by the number of responding users who were within the visible range and were looking toward the advertising medium 3, and store this meeting probability in the information storage unit 14 as ratio information.

[0070] Furthermore, the view count calculation unit 12a may use the location information to calculate a view rate for each moving route as illustrated in Fig. 10. Furthermore, the view count calculation unit 12a may calculate the view count for each attribute based on the questionnaire response and store it in the information storage unit 14 as medium information, or may calculate the number of answering users for each attribute and store it in the information storage unit 14 as medium information.

[0071] In addition, the view count calculation unit 12a may use the questionnaire responses to calculate the number of views at the time of evaluation of the advertising medium 3. For example, when the time of evaluation of the advertising medium 3 is in the past, the number of views can be calculated using the questionnaire information of the responding users who were within the viewable range at the time of evaluation. In detail, for example, the view count calculation unit 12a uses the location information to calculate the number of views using the questionnaire information in the same manner as described above. Since this number of views is the number of views related to the responding users, the view count calculation unit 12a calculates the total number of views by multiplying the calculated number of views by a determined ratio. This ratio is the ratio of the number of responding users to the number of general users, i.e., passersby, and is determined, for example, by demonstration experiments, statistical analysis, etc., and is stored in advance as ratio information in the information storage unit 14.

[0072] Next, the process of the number of visible views calculation unit 12a when the pedestrian flow information includes passerby information will be described. When the pedestrian flow information includes passerby information at the time of estimation of the advertising medium 3, the number of visible views calculation unit 12a calculates the number of people looking at the advertising medium 3 within the visible range (the number of OTCs) by using the visible range, passerby information, and ratio information stored in the information storage unit 14. For example, for each moving route, the ratio of people looking at the advertising medium 3 among the passersby moving on the moving route is determined as a route unit ratio by demonstration experiments, analysis, etc., and the route unit ratio is stored in advance in the information storage unit 14 as ratio information. The number of visible views calculation unit 12a calculates the number of OTCs for each moving route by multiplying the number of passersby for each moving route in the passerby information by the route unit ratio corresponding to the moving route. The view count calculation unit 12a calculates the total number of OTC people for each movement route as the number of OTC people, and calculates the number of views by multiplying the number of OTC people by the view rate stored as ratio information in the information storage unit 14. This view rate may be a view rate calculated based on the questionnaire information described in this embodiment, or may be a view rate calculated by another method.

[0073] Next, the process of the view number calculation unit 12a when the pedestrian flow information includes the position information of the terminal device 7 will be described. When the pedestrian flow information includes the position information of the terminal device 7 at the time of the estimation target of the advertising medium 3, the view number calculation unit 12a calculates the number of people facing the advertising medium 3 within the viewable range (the number of OTCs) using the viewable range, the position information, and the acquisition ratio stored in the information storage unit 14. The acquisition ratio is the ratio of the number of terminal devices 7 that can acquire position information to the total number of passersby. Since some passersby cannot acquire the position of the terminal device 7, the view number calculation unit 12a obtains the movement direction of each terminal device 7 based on the position information, identifies people facing the advertising medium 3 within the viewable range based on the movement direction, calculates the number of identified people, and calculates the number of OTCs by dividing the calculated number by the acquisition ratio. The view number calculation unit 12a calculates the number of OTCs by multiplying the number of OTCs by the view rate stored as ratio information in the information storage unit 14. This visibility rate may be a visibility rate calculated based on the questionnaire information described in the present embodiment, or may be a visibility rate calculated by another method.

[0074] The evaluation unit 13 calculates the evaluation value in the same manner as in the first embodiment, using the number of views at the time of the estimation target of the advertising medium 3 exemplified in this embodiment. In this embodiment as well, the evaluation unit 13 may use the number of views itself, intermediate data such as the number of people in the OTS, etc. as the evaluation value. As described above, the people flow information acquisition unit 15 of the evaluation support device 1a may further acquire sensor information, and the number of views calculation unit 12a may also have the function of the number of views calculation unit 12 of the first embodiment, and the visibility rate calculated using the questionnaire information described in this embodiment may be used in the calculation of the number of views described in the first embodiment. The operation of the evaluation support device 1a other than that described above is the same as that of the first embodiment.

[0075] The evaluation support device 1a of this embodiment is realized, for example, by the computer system illustrated in FIG. 7, similar to the evaluation support device 1 of the first embodiment. The view count calculation unit 12a illustrated in FIG. 8 is realized by executing a computer program stored in the storage unit 103 illustrated in FIG. 7 by the control unit 101 illustrated in FIG. 7. The storage unit 103 illustrated in FIG. 7 is also used to realize the view count calculation unit 12a. The evaluation support device 1a may be realized by a plurality of computer systems. Also, for example, the evaluation support device 1a may be realized by a cloud computer system.

[0076] As described above, in this embodiment, the number of views is calculated based on the visible range and at least one of the questionnaire information, the passerby information, and the location information of the terminal device 7. This makes it possible to achieve the same effects as in the first embodiment. In addition, the number of views can be calculated without the need to install the sensor 2.

[0077] Embodiment 3 Next, a description will be given of embodiment 3. The configuration of the evaluation support system 100 of this embodiment is the same as that of embodiment 1. Below, differences from embodiment 1 will be mainly described, and descriptions that overlap with embodiment 1 will be omitted.

[0078] In this embodiment, the visible range is determined based on the specifications of each advertising medium 3. The specifications of the advertising medium 3 include, for example, at least one of brightness, viewing angle, and curvature information indicating the shape of the screen curvature. The range acquisition unit 11 may accept an input of the visible range taking the specifications into consideration, or may calculate the visible range based on three-dimensional map data or three-dimensional measurement data taking the specifications into consideration. Furthermore, when the brightness can be changed by a setting, the range acquisition unit 11 may acquire information indicating the setting and change the visible range according to the setting.

[0079] Similarly, in the evaluation support system 100a described in the second embodiment, the viewable range may be determined based on the specifications, thereby enabling the viewable range of the advertising medium 3 to be defined with high accuracy.

[0080] Embodiment 4 FIG. 12 is a diagram showing a configuration example of an evaluation support system according to the fourth embodiment. The evaluation support system 100b according to this embodiment includes an evaluation support device 1b and an advertising medium 3. The advertising medium 3 is the same as that of the first embodiment. The evaluation support device 1b is the same as the evaluation support device 1 according to the first embodiment, except that a receiving unit 17 and a prediction unit 18 are added. Components having the same functions as those of the first embodiment are given the same reference numerals as those of the first embodiment, and duplicated explanations will be omitted. Below, differences from the first embodiment will be mainly explained.

[0081] In this embodiment, the reception unit 17 receives an input from a service user. The reception unit 17 may receive an input directly from the service user, or may receive input information input to a terminal device that the service user can operate, thereby receiving an input from the service user.

[0082] The reception unit 17, for example, receives a designation of information to be displayed from the service user, and notifies the presentation unit 16 of designation information indicating the contents of the designation from the service user. The designation information may include the advertising medium 3 to be displayed, the date and time of the display target, etc. The date and time of the display target may be a period. The information to be displayed may be the number of views, intermediate data, evaluation value, attribute information, etc. calculated by the evaluation support system 100b, information processed based on these information, or the installation location of the advertising medium 3 included in the medium information, advertising price, etc. The presentation unit 16 may present the service user with options for information to be displayed, and the service user may select information to be displayed from the options, thereby designating the information to be displayed. Each option may be a combination of multiple pieces of information. In addition, the designation information may also include a display format, such as whether the information is displayed as a numerical value, a pie chart, a line graph, or a bar graph.

[0083] The presentation unit 16 reads out information to be displayed from the information storage unit 14 based on the specified information notified from the reception unit 17, and presents the read information. The presentation method by the presentation unit 16 is the same as that of the first embodiment, and may be display of information or transmission of information to another device such as a display device or a terminal device of a service user. When the presentation unit 16 presents information by transmitting to another device, display information for displaying a display screen may be transmitted to the other device, or information indicating the information to be displayed and a display format may be transmitted to the other device, and the other device may generate a display screen. In addition, when there is no specification from the service user, an initial screen to be presented to the service user is determined, and when the specified information is not notified, the presentation unit 16 may present the initial screen.

[0084] Furthermore, when displaying information in the form of a graph, for example, the presentation unit 16 creates a graph based on the information read from the information storage unit 14, and presents the created graph. The presentation unit 16 may present at least one of the number of passersby (the number of OTCs), which is the number of passersby who passed within the visible range, information on the flow of people by attribute, and the audience rating calculated based on the number of views.

[0085] FIG. 13 is a diagram showing an example of a display screen according to the present embodiment. The display screen shown in FIG. 13 may be displayed by the presentation unit 16, or may be displayed by another device as a result of display information for displaying the display screen being transmitted to the other device by the presentation unit 16. In the example shown in FIG. 13, advertising medium A is specified by the specification information. In the example shown in FIG. 13, the date and time to be displayed can be specified by inputting a date and time in the blank space in the line marked "Advertisement Period". FIG. 13 shows a state in which a date and time are specified once and each piece of information is displayed, and in this state, by inputting a date and time and pressing a button marked "Calculate", information corresponding to the input date and time is displayed.

[0086] In the example shown in FIG. 13, the "number of passersby within the visible range," "advertisement viewing rate," and "number of ad viewers" are displayed in the area surrounded by a rectangle, with the "number of passersby within the visible range" being the number of people within the visible range, i.e., the number of OTCs, and the "number of ad viewers" being the number of viewers, i.e., the number of VACs. The numerical values ​​of these items are shown as total values ​​for the specified date and time (period). As described in the first embodiment, these numerical values ​​are calculated by the number of views calculation unit 12 or the evaluation unit 13, and stored in the information storage unit 14 as medium information. When the date and time of the display target can be specified, for information whose numerical values ​​differ depending on the date and time, the information may be calculated for each specified unit time and stored as medium information, for example, so that information corresponding to each date and time can be tallied.

[0087] In the example shown in FIG. 13, three graphs are displayed, and the graph on the left shows the number of people at OTS, the number of people at OTC, and the number of people at VAC, with the horizontal axis showing time (date and time). The graph in the center shows the male / female ratio, and the graph on the right shows the age distribution. The male / female distribution and the age distribution may be calculated based on attributes determined based on sensor information as described in the first embodiment, or may be calculated based on questionnaire responses as described in the second embodiment, or may be analysis results included in the people flow information provided. The male / female distribution and the age distribution are examples of information on people flow for each attribute. Here, the male / female distribution and the age distribution are the same for OTS, OTC, and VAC, and the male / female distribution and the age distribution may correspond to any of OTS, OTC, and VAC. FIG. 13 is an example, and the displayed information, display format, display position, design, etc. are not limited to the example shown in FIG. 13.

[0088] In addition, in this embodiment, when a date and time to be displayed is specified by a service user and information corresponding to the date and time is not stored in the information storage unit 14, the prediction unit 18 may make a prediction corresponding to the specified date and time, output the prediction result to the presentation unit 16, and the presentation unit 16 may present the prediction result. The prediction unit 18 predicts the information of the date and time to be displayed based on the information stored in the information storage unit 14. For example, when displaying the number of views, the number of views of the date and time to be displayed is predicted based on the number of views stored in the information storage unit 14. When making the prediction, conditions related to the date and time (time period, day of the week, season, month, weekday / holiday), weather, and other conditions may be taken into consideration. The prediction target information to be predicted by the prediction unit 18 may be, for example, at least one of the number of views, the number of passersby, information on the flow of people by attribute, and the audience rating.

[0089] The conditions taken into consideration when making the prediction may include the type of industry of the advertisement displayed on the advertising medium 3, the type of the advertised product, an outline of the design of the advertisement (whether it is a video or still image, the use of colors, etc.), whether a CM (Commercial) is aired on television, the length of the advertisement period, etc. For example, the prediction unit 18 may calculate an average value of the number of views stored in the information storage unit 14 for each condition and use the average value as the predicted value, or may determine a prediction formula for predicting the average value based on the time change of these average values ​​and obtain the predicted value based on the prediction formula. The prediction formula may also use the above-mentioned conditions related to time, weather, etc.

[0090] The prediction unit 18 may obtain a predicted value by machine learning using a trained model for inferring a predicted value from an input feature. For example, the feature includes at least one of the above-mentioned time-related conditions and weather and other conditions. For example, when the number of passersby is predicted, a trained model is generated by supervised learning using a plurality of learning data sets consisting of feature values ​​and the number of passersby as correct answer data. Any algorithm may be used for machine learning, but for example, a neural network (neural network model) may be used. The prediction unit 18 inputs feature values ​​corresponding to a specified date and time into the trained model to obtain a predicted value of the number of passersby as an output of the trained model. Note that, when the feature values ​​include weather, the prediction unit 18 may obtain a forecast value of the weather at a specified date and time from an external device that provides weather data and use it as the feature value.

[0091] Furthermore, the feature amount may be changed depending on the type of information to be predicted. For example, the feature amount may be changed when the prediction target is the number of passersby and when the prediction target is the number of sightings. A trained model may be generated for each type of information, or a trained model that predicts multiple types of information may be generated by providing multiple types of information as correct answer data and performing learning. For example, a trained model that infers the number of passersby and the number of sightings may be generated by including both the number of passersby and the number of sightings as correct answer data.

[0092] A trained model is generated for each advertising medium 3, but if there are advertising media 3 with similar surrounding conditions, specifications, etc., these may be considered as one group and a trained model may be generated for each group.

[0093] In addition, when predicting information for each attribute, such as the number of passersby for each attribute, a trained model that outputs a predicted value for each attribute may be generated by including the attribute in the feature, or a trained model that outputs a predicted value for each attribute may be generated by providing information for each attribute as correct answer data and performing training. The feature and correct answer data described above are merely examples, and the feature and correct answer data are not limited to the above examples.

[0094] The machine learning algorithm is not limited to a neural network, and may be other algorithms such as a support vector machine. Furthermore, the machine learning used to generate the trained model is not limited to supervised learning, and may be reinforcement learning, etc.

[0095] The trained model may be generated by the prediction unit 18, or the evaluation support device 1b may include a model generation unit (not shown) and the trained model may be generated by the model generation unit. Alternatively, a learning device that generates the trained model may be provided separately from the evaluation support device 1b, and the trained model generated by the learning device may be used by the prediction unit 18. The trained model may be stored in the prediction unit 18 or in the information storage unit 14.

[0096] Further, the prediction unit 18 may generate not only the prediction result described above, but also a creative sample which is an advertisement sample image simulating an advertisement to be displayed on the advertising medium 3, output the generated creative sample to the presentation unit 16, and the presentation unit 16 may present the creative sample. For example, the service user may specify at least one of the following conditions for the creative sample: the type of advertisement industry, the type of product for the advertisement, the product image, the attributes targeted by the advertisement, and a desire for a design, and the prediction unit 18 may generate a creative sample based on this condition. The attributes targeted by the advertisement include, but are not limited to, at least one of the following: gender, age, occupation, annual income, assets, place of residence, nationality, family structure, educational background, occupation, hobbies and interests, lifestyle habits, and health condition. For example, when young men are targeted by the advertisement, attributes such as gender being male and age being in their teens to twenties are specified as the attributes of the target.

[0097] For example, a sample image may be created for each condition and stored in the information storage unit 14, and the prediction unit 18 may select a sample image according to the condition from the stored sample images and use the selected sample image as the creative sample, or the creative sample may be generated by machine learning. Also, part images that will be part of the creative sample, such as background images, may be stored in the information storage unit 14 in advance, and the prediction unit 18 may generate a creative sample by superimposing an image of a product input as a condition on a part image selected according to the condition. The method of generating a creative sample may be any method and is not limited to the above-mentioned example.

[0098] Furthermore, the presentation unit 16 may generate a simulation image (simulation image) simulating a state in which an advertisement is displayed on the advertising medium 3 by superimposing a creative sample on an area of ​​the image corresponding to the advertising medium 3 based on an image including the advertising medium 3, output the simulation image to the presentation unit 16, and the presentation unit 16 may present the simulation image. Furthermore, the prediction unit 18 may generate a simulation image by superimposing an image showing a visible range and a prediction result on an image around the advertising medium 3. That is, the prediction unit 18 may generate a creative sample simulating an advertisement displayed on the advertising medium 3 based on a specified condition, and generate a simulation image by superimposing the creative sample and an image showing the prediction result on an image including the advertising medium 3. The image including the advertising medium 3 is an image around the advertising medium 3, and may be photographed for each advertising medium 3 and stored in the information storage unit 14 as medium information, or may be generated based on sensor information, or may be generated based on three-dimensional map data, etc.

[0099] FIG. 14 is a diagram showing an example of a simulation image of the present embodiment. In the example shown in FIG. 14, an image 300, which is a creative sample, is displayed in an area of ​​the simulation image corresponding to the advertising medium 3. The hatched area in FIG. 14 is an area in which the visible range is projected two-dimensionally. The circles in FIG. 14 indicate people, the double circles indicate VACs, the black hatched circles (including double circles) indicate OTCs, and the open circles indicate people in OTSs excluding OTCs. In this way, the predicted results of the number of VACs, OTCs, and OTSs may be displayed as images. The positions of the VACs, OTCs, and OTSs displayed by the simulation image may be determined randomly or according to a predetermined rule within the visible range based on the number of VACs, OTCs, and OTSs. By displaying a simulation image such as that shown in FIG. 14, the service user can easily grasp the situation when an advertisement is placed on the advertising medium 3.

[0100] 12 shows an example in which the evaluation support device 1b includes the prediction unit 18, but the present invention is not limited thereto, and the evaluation support device 1b may not include the prediction unit 18 and may not perform prediction and generation of a simulation image. Furthermore, the evaluation support device 1b may include an image generation unit that generates a creative sample instead of the prediction unit 18 and generates a simulation image by superimposing the sample on an image around the advertising medium 3, and the presentation unit 16 may present the simulation image generated by the image generation unit.

[0101] The evaluation support device 1b of this embodiment is realized by, for example, the computer system illustrated in FIG. 7, like the evaluation support device 1 of the first embodiment. The prediction unit 18 illustrated in FIG. 12 is realized by executing the computer program stored in the storage unit 103 illustrated in FIG. 7 by the control unit 101 illustrated in FIG. 7. The prediction unit 18 is realized by using the storage unit 103 illustrated in FIG. 7. The prediction unit 18 may be realized by using the communication unit 105 illustrated in FIG. 7. The reception unit 17 illustrated in FIG. 12 is realized by at least one of the input unit 102 and the communication unit 105 illustrated in FIG. 7. The evaluation support device 1b may be realized by a plurality of computer systems. Also, for example, the evaluation support device 1b may be realized by a cloud computer system.

[0102] As described above, in this embodiment, the information stored in the information storage unit 14 is presented to the service user based on the designation from the service user. This provides the same effect as in the first embodiment, and allows the service user to check the desired information. In addition, the evaluation support device 1b displays the prediction results, simulation images, and the like, making it easier for the service user to grasp the situation when it is assumed that the service user places an advertisement in the advertising medium 3, and can support consideration of placing the advertisement.

[0103] In the above example, the receiving unit 17 and the prediction unit 18 are added to the evaluation support device 1 of embodiment 1. However, this is not limited to the above. The operation of this embodiment may be performed by adding the receiving unit 17 and the prediction unit 18 to the evaluation support device 1a described in embodiment 2 or the evaluation support device 1 described in embodiment 3.

[0104] Embodiment 5. FIG. 15 is a diagram showing a configuration example of an evaluation support system according to a fifth embodiment. The evaluation support system 100c according to this embodiment includes an evaluation support device 1c and an advertising medium 3. The advertising medium 3 is the same as that of the first embodiment. The evaluation support device 1c is the same as the evaluation support device 1 according to the first embodiment, except that a receiving unit 17 and a proposal information generating unit 19 are added. Components having the same functions as those of the first embodiment are given the same reference numerals as those of the first embodiment, and duplicated explanations will be omitted. Below, differences from the first embodiment will be mainly explained.

[0105] The receiving unit 17 receives input from the service user, similarly to the receiving unit 17 in the fourth embodiment. In the present embodiment, the receiving unit 17 receives input of desired conditions related to advertisement from the service user, and outputs the received desired conditions to the proposed information generating unit 19. The presentation unit 16 may present a screen for receiving the desired conditions to the service user, and the receiving unit 17 may receive the input of the desired conditions by receiving a selection result.

[0106] FIG. 16 is a diagram showing an example of a reception screen for receiving input of desired conditions in this embodiment. In the example shown in FIG. 16, the desired conditions include advertisement period, budget (advertising budget), sex, age group, annual income, asset amount (assets), area (area) in which the advertising medium 3 is desired to be installed, number of passersby, number of views (number of viewers), cost per view obtained, place of residence, place of work, nationality, family structure, occupation, academic background, hobby / lifestyle, and health condition. Note that gender, age group, annual income, asset amount, place of residence, place of work, nationality, family structure, occupation, academic background, hobby / lifestyle, and health condition are attributes of general users targeted by advertisement. The desired conditions shown in FIG. 16 are merely examples, and the desired conditions may be advertisement period, budget (advertising budget), sex, and age, and the desired conditions are not limited to the example shown in FIG. 16. Furthermore, the input method of the desired conditions is not limited to the example shown in FIG. 16.

[0107] The proposal information generating unit 19 generates one or more plans (advertising plans) including information on advertising media 3 that match the desired conditions, and generates proposal information including the generated one or more advertising plans. In detail, the proposal information generating unit 19 determines advertising media 3 to be proposed to the service user for use by searching for medium information stored in the information storage unit 14 based on the desired conditions, determines one or more advertising plans including information indicating the determined advertising media 3, and generates proposal information indicating the determined advertising plans. Note that multiple advertising media 3 may be combined into one plan.

[0108] FIG. 17 is a diagram showing an example of the medium information of this embodiment. The medium information of this embodiment includes, like the medium information of the first embodiment, the identification information of the advertising medium, the installation position, the advertising price, the number of views, the evaluation value, and the like. In this embodiment, the medium information stores information used to select the advertising medium 3 according to the desired conditions. For example, if the desired conditions include gender, the medium information may include a gender ratio (gender composition) such as a male-female ratio, or may include the number of views by gender, the number of passersby, and the like. Information on these attributes may be estimated based on sensor information, or may be obtained by conducting a questionnaire asking about attributes as in the second embodiment, or may be obtained from a device that provides the analysis results of people flow information, such as the people flow information providing device 6 described in the second embodiment.

[0109] The proposal information generating unit 19 refers to the medium information based on the desired conditions, selects the advertising medium 3 that satisfies the desired conditions, and determines an advertisement plan including the use of the selected advertising medium 3. For example, the proposal information generating unit 19 selects the advertising medium 3 whose advertising price, area, cost per view obtained, and number of views satisfy the desired conditions, and selects the advertising medium 3 from the selected advertising media 3 that has a large number of views corresponding to the attributes of the target specified as the desired conditions according to the number of views for each attribute. In addition, in determining the advertisement plan, a priority order may be set for each item constituting the desired conditions, and the proposal information generating unit 19 may determine the advertisement plan using the priority order. In addition, the priority order may be specified by the service user. Note that the method of determining the advertisement plan in the proposal information generating unit 19 is not limited to this. The proposal information generating unit 19 generates proposal information including the advertisement plan, and outputs the generated proposal information to the presentation unit 16. The presentation unit 16 presents the proposal information. The proposal information may include multiple advertisement plans.

[0110] The advertisement plan includes at least information indicating the advertising medium 3 to be used (identification information of the advertising medium 3). The identification information of the advertising medium 3 is, for example, but not limited to, the name of the advertising medium 3 (advertising medium name). The advertisement plan may include the number of views, the number of passersby, the advertising price, the evaluation value, and the like corresponding to the advertising medium 3. The advertisement plan may also include information determined based on desired conditions, in addition to information extracted from the medium information. For example, the proposal information generating unit 19 may use at least a part of the desired conditions to determine the optimal time period for displaying the advertisement, an outline of the advertisement to be displayed (creative outline), and the like, and include the determined information in the advertisement plan. The proposal information generating unit 19 may also determine a recommended plan that is particularly recommended, and the presentation unit 16 may present it so that it is clear that it is a recommended plan. For example, a criterion for determining a recommended plan is set in advance, and the proposal information generating unit 19 determines a recommended plan based on the criterion.

[0111] The optimal time period is a time period during which there is a large flow of people who are the target of the advertisement, and is determined, for example, based on information indicating the target of the advertisement and people flow data (including information such as male / female ratio for each time, day of the week, and date, age group, and annual income). Alternatively, the optimal time period may be determined based on information indicating the target of the advertisement and age group and male / female ratio acquired by a camera, sensor, etc. The information indicating the target of the advertisement may be specified by the service user, or may be determined by the proposal information generating unit 19 based on the product targeted by the advertisement. For example, if the product targeted by the advertisement is cosmetics for young men, the optimal time period is a time period during which many young men (for example, those in their 30s or younger) pass by.

[0112] The proposal information generating unit 19 may perform the above-mentioned process by regarding the number of views, evaluation value, etc., during the advertising period under the desired conditions as equivalent to the number of views and evaluation value stored in the medium information. For example, when a future one year is specified as the advertising period, the proposal information generating unit 19 may perform the above-mentioned process by regarding the number of views, evaluation value, etc., corresponding to the most recent one year stored in the medium information as the number of views, evaluation value, etc., corresponding to the advertising period. Alternatively, similar to the fourth embodiment, the evaluation support device 1c may include a prediction unit 18, which predicts the number of views, evaluation value, etc., corresponding to the advertising period, and the proposal information generating unit 19 may generate an advertising plan using the prediction result by the prediction unit 18.

[0113] FIG. 18 is a diagram showing an example of a display screen of the proposed information of the present embodiment. In the example shown in FIG. 18, a plurality of advertisement plans are included in the proposed information. In the example shown in FIG. 18, the advertisement plan includes an advertisement period, an optimal time slot, an advertising medium name, a creative summary, an expected number of viewers, an advertisement price, and a cost per view acquisition. Items included in the advertisement plan are not limited to the example shown in FIG. 18. When a recommended plan is determined, a mark or character indicating that the recommended plan is a recommended plan among the advertisement plans shown in FIG. 18 may be displayed on the recommended plan, or the recommended plan may be highlighted by being displayed in a color different from other plans. In the example shown in FIG. 18, a button 400 with "Details" written thereon is displayed on the right end of the row corresponding to each advertisement plan, and when the service user presses the button 400, the advertisement plan in the row corresponding to the button 400 is selected, and detailed information about the advertising medium 3 corresponding to the selected advertisement plan is displayed. Note that FIG. 18 is an example, and the display method of the proposed information, the displayed items, the arrangement, and the like are not limited to this example. In addition, the button 400 for displaying detailed information may not be displayed.

[0114] Additionally, a map showing the installation positions of the proposed advertising medium 3 may be displayed together with the proposed information. Fig. 19 is a diagram showing an example of a map showing the installation positions of the proposed advertising medium 3 in this embodiment. In the example shown in Fig. 19, the installation positions of the advertising medium 3 are indicated by triangles, and a black triangle indicates the installation position of the advertising medium 3 proposed in the proposed information. For example, detailed information on the selected advertising medium 3 may be displayed by a service user selecting a triangle.

[0115] FIG. 20 is a diagram showing an example of a display screen of the detailed information in this embodiment. FIG. 20 shows an example in which the evaluation support device 1c includes a prediction unit 18, as in the fourth embodiment, and a simulation image and each piece of information related to the advertising medium 3 are displayed as detailed information, as in the fourth embodiment. A creative sample in a simulation image (selected simulated image) corresponding to a selected advertising plan is generated based on attributes in the desired conditions, as in the fourth embodiment. The display screen of the detailed information may include only the number of views, evaluation value, etc., or may include only a simulation image. The display screen of the detailed information is not limited to the example shown in FIG. 20.

[0116] The evaluation support device 1c of this embodiment is realized, for example, by the computer system illustrated in FIG. 7, like the evaluation support device 1 of the first embodiment. The proposal information generation unit 19 illustrated in FIG. 15 is realized by executing a computer program stored in the storage unit 103 illustrated in FIG. 7 by the control unit 101 illustrated in FIG. 7. The proposal information generation unit 19 is also realized by using the storage unit 103 illustrated in FIG. 7. The evaluation support device 1c may be realized by a plurality of computer systems. Also, for example, the evaluation support device 1c may be realized by a cloud computer system.

[0117] As described above, in this embodiment, the advertising plan to be proposed is determined based on the desired conditions specified by the service user, and the determined advertising plan is presented to the service user. This provides the same effect as in the first embodiment, and also makes it possible to propose advertising media 3 that meet the user's desires.

[0118] In the above example, the reception unit 17 and the proposal information generating unit 19 are added to the evaluation support device 1 of the first embodiment, but the present embodiment may be performed by adding the proposal information generating unit 19 to the evaluation support device 1b described in the fourth embodiment. The present embodiment may be performed by adding the reception unit 17 and the proposal information generating unit 19 to the evaluation support device 1a described in the second embodiment or the evaluation support device 1 described in the third embodiment. Alternatively, the present embodiment may be performed by adding the reception unit 17 and the prediction unit 18 described in the fourth embodiment and the proposal information generating unit 19 described in the present embodiment to the evaluation support device 1a described in the second embodiment or the evaluation support device 1 described in the third embodiment.

[0119] The configurations shown in the above embodiments are merely examples, and may be combined with other known technologies, or the embodiments may be combined with each other. Also, parts of the configurations may be omitted or modified without departing from the spirit of the invention.

[0120] Various aspects of the present disclosure are summarized below as appendices.

[0121] (Appendix 1) A people flow information acquisition unit that acquires people flow information indicating the flow of people around the advertising medium; a range acquisition unit that acquires a viewable range defined as three-dimensional data, the viewable range being a range in which the advertising medium is viewable; a view count calculation unit that calculates a view count, which is the number of people who viewed the advertising medium, by using the viewable range and the people flow information; An evaluation support device comprising: (Appendix 2) 2. The evaluation support device according to claim 1, wherein the visible range is determined based on at least one of three-dimensional map data and three-dimensional measurement data. (Appendix 3) 3. The evaluation support device according to claim 1, wherein the visible range is determined taking into account obstacles. (Appendix 4) An evaluation support device described in any one of Appendices 1 to 3, characterized in that the people flow information is sensor information acquired by one or more sensors capable of detecting people present in the visible range. (Appendix 5) The view count calculation unit is a gaze estimation unit that identifies a person present in the visible range by using the visible range and the sensor information and estimates a gaze of the identified person; a counting unit that counts the number of gazes directed at the advertising medium among the gazes estimated by the gaze estimation unit and calculates a view number based on the counting result; 5. The evaluation support device according to claim 4, comprising: (Appendix 6) The evaluation support device according to claim 5, wherein the counting unit calculates the number of views by multiplying the counting result by a predetermined visibility rate. (Appendix 7) The evaluation support device described in Appendix 6, characterized in that the visibility rate is calculated based on location information of a terminal device carried by a passerby who passed near the advertising medium and response information input by the passerby, the response information including information indicating whether or not the advertising medium was viewed. (Appendix 8) The evaluation support device described in Appendix 7, characterized in that the view count calculation unit uses the location information and the viewable range to identify people who passed through the viewable range among the passersby corresponding to the response information, calculates the number of view opportunity holders who were looking toward the advertising medium using the location information of the identified people, calculates a view response number which is the number of response information that indicates that the advertising medium was viewed among the response information corresponding to the view opportunity holders, and calculates the visibility rate based on the number of view opportunity holders and the view response number. (Appendix 9) The evaluation support device according to claim 1, wherein the people flow information includes information indicating the number of passersby for each movement route. (Appendix 10) An evaluation support device described in any one of Appendices 1 to 9, characterized in that the visible range is determined based on at least one of the brightness, viewing angle, and curvature information indicating the shape of the screen curvature of the advertising medium. (Appendix 11) A presentation unit that presents the number of views; 11. The evaluation support device according to claim 1, further comprising: (Appendix 12) The evaluation support device described in Appendix 11, characterized in that the presentation unit further presents at least one of the number of passersby, which is the number of pedestrians who passed within the visible range, information on people flow by attribute, and a viewership rate calculated based on the number of views. (Appendix 13) a prediction unit that predicts prediction target information, which is at least one of the number of viewers, the number of passersby, information on people flow for each attribute, and the audience rating; The evaluation support device according to claim 12, wherein the presentation unit presents a prediction result by the prediction unit. (Appendix 14) the prediction unit generates an advertisement sample image simulating an advertisement to be displayed on the advertising medium based on specified conditions, and generates a simulation image by superimposing the advertisement sample image and an image showing the prediction result on an image including the advertising medium; The evaluation support device according to claim 13, wherein the presentation unit presents the simulated image. (Appendix 15) A reception unit that receives input of desired conditions regarding advertisements; a proposal information generating unit that generates one or more advertising plans including information on the advertising media suitable for the desired conditions based on the desired conditions, and generates proposal information including the generated one or more advertising plans; Equipped with The evaluation support device according to claim 13, wherein the presentation unit displays the proposal information. (Appendix 16) The reception unit receives a selection of the advertising plan from among the advertising plans included in the proposal information, The evaluation support device described in Appendix 15, characterized in that the presentation unit presents at least one of the number of passersby corresponding to the selected advertising plan, information regarding people flow by attribute, and the viewership rate. (Appendix 17) When the reception unit receives the selection of the advertising plan, the prediction unit predicts the prediction target information corresponding to the selected advertising plan, generates an advertising sample image simulating an advertisement based on the desired conditions, and generates a selected simulation image corresponding to the selected advertising plan by superimposing the generated advertising sample image and an image showing a prediction result corresponding to the selected advertising plan on an image of the advertising medium corresponding to the selected advertising plan, The evaluation support device according to claim 16, wherein the presentation unit presents the selected simulated image. (Appendix 18) Advertising media, an evaluation support device that supports evaluation of the advertising medium; Equipped with The evaluation support device includes: A people flow information acquisition unit that acquires people flow information indicating people flow around the advertising medium; a range acquisition unit that acquires a viewable range defined as three-dimensional data, the viewable range being a range in which the advertising medium is viewable; a view count calculation unit that calculates a view count, which is the number of people who viewed the advertising medium, by using the viewable range and the people flow information; An evaluation support system comprising: (Appendix 19) An evaluation support method in an evaluation support device, acquiring people flow information indicating people flow around the advertising medium; A step of acquiring a viewable range defined as three-dimensional data, which is a range in which the advertising medium is viewable; A step of calculating a number of views, which is the number of people who viewed the advertising medium, using the viewable range and the people flow information; An evaluation support method comprising: (Appendix 20) In the computer system, acquiring people flow information indicating people flow around the advertising medium; A step of acquiring a viewable range defined as three-dimensional data, which is a range in which the advertising medium is viewable; A step of calculating a number of views, which is the number of people who viewed the advertising medium, using the viewable range and the people flow information; A program characterized by executing the above. [Explanation of symbols]

[0122] 1, 1a, 1b, 1c evaluation support device, 2 sensor, 3 advertising medium, 4 building, 5 planting, 6 people flow information providing device, 7 terminal device, 11 range acquisition unit, 12, 12a view number calculation unit, 13 evaluation unit, 14 information storage unit, 15 people flow information acquisition unit, 16 presentation unit, 17 reception unit, 18 prediction unit, 19 proposal information generation unit, 100, 100a, 100b, 100c evaluation support system, 121 gaze estimation unit, 122 counting unit.

Claims

1. A step of acquiring data on the surroundings of an advertising medium, the data including a location of the advertising medium that is installed outdoors and displays an advertisement; determining a viewable range of the advertising medium on which the advertisement is displayed based on the data; a step of acquiring location information indicating a location of a terminal device carried by a user who is a passerby in the vicinity of the advertising medium, wherein the location information is time-series information associated with a location time of the terminal device, and is acquired as a plurality of the location information of the terminal device, including at least first location information indicating a first location of the user, and second location information indicating a second location of the user which is a location acquired next in time to the first location, determining whether the second location is within a viewable range of the advertising medium; determining a moving direction of the user based on the first position and the second position; estimating a field of view of the user at the second location based on the direction of movement and the second location; determining whether the advertisement displayed on the advertising medium is within the field of view; determining that the second position is within a viewable range of the advertising medium and that the advertisement displayed on the advertising medium is included in the field of view, determining that the user is viewing the advertisement at the second position; Including, A method for determining whether an advertisement is visible, the method being carried out by a computer.

2. The method further includes a step of determining that the user does not view the advertisement at the second location in response to a determination that the second location is not within a viewable range of the advertising medium or a determination that the advertisement displayed on the advertising medium is not included in the field of view. The advertisement viewing determination method according to claim 1 .

3. The first position and the second position are The user's own position detected by a GPS receiver included in the terminal device carried by the user is a two-dimensional position composed of latitude and longitude. The advertisement viewing determination method according to claim 1 .

4. The first position and the second position are The user's own position detected by a GPS receiver included in the terminal device carried by the user is a three-dimensional position composed of latitude, longitude, and altitude. The advertisement viewing determination method according to claim 1 .

5. acquiring people flow information including a plurality of pieces of position information of a plurality of the users; acquiring the first location information indicating the first location and the second location information indicating the second location from the people flow information; The advertisement viewing determination method according to claim 1 , further comprising:

6. A step of acquiring data on the surroundings of an advertising medium, the data including a location of the advertising medium that is installed outdoors and displays an advertisement; determining a viewable range of the advertising medium on which the advertisement is displayed based on the data; acquiring people flow information indicating the flow of people of a plurality of users passing through the vicinity of the advertising medium, the people flow information including a plurality of pieces of location information indicating the location of a terminal device carried by a user who is a passerby in the vicinity of the advertising medium, the plurality of pieces of location information being time-series information associated with the location time of the terminal device; acquiring the location information indicating a location of the user from the people flow information; determining a three-dimensional position of the user's eyes based on an assumed height of the user; determining whether the user's position is within a viewable range of the advertising medium; estimating a field of view of the user at a position of the user; determining whether the advertisement displayed on the advertising medium is within the field of view; determining that the user's position is within a viewable range of the advertising medium and that the advertisement displayed on the advertising medium is included in the field of view, determining that the user is viewing the advertisement at the position; Including, A method for determining whether an advertisement is visible, the method being carried out by a computer.

7. Further comprising a step of generating information regarding people flow for each attribute based on information regarding the plurality of users who viewed the advertisement displayed on the advertising medium. The advertisement viewing determination method according to claim 1 .

8. The step of determining a viewable range of the advertising medium includes: determining a distance to a position away from the advertising medium in a viewable range of the advertising medium defined in three dimensions based on specifications of the advertising medium on which the advertisement is displayed and / or based on information on the height of the advertising medium on which the advertisement is displayed, The advertisement viewing determination method according to claim 1 .

9. identifying an obstacle within a viewable area of ​​the advertising medium that makes the advertisement invisible; setting at least a part of an area around the obstacle as an area in which the advertisement displayed on the advertising medium cannot be viewed due to the presence of the obstacle; In response to a determination that the second location is included in an area in which the advertisement displayed on the advertising medium is not viewable due to the presence of the obstacle, determining that the user is not viewing the advertisement at the second location; The advertisement viewing determination method according to claim 1 , further comprising:

10. A step of acquiring data on the surroundings of an advertising medium, the data including a location of the advertising medium that is installed outdoors and displays an advertisement; determining a viewable range of the advertising medium on which the advertisement is displayed based on the data; wherein the viewable range of the advertising medium is a three-dimensionally defined range surrounded by a plurality of surfaces including at least a screen of the advertising medium on which the advertisement is displayed; obtaining location information indicative of a user's location; determining whether the location is within a viewable range of the advertising medium; estimating a field of view of the user at the location; determining whether the advertisement displayed on the advertising medium is within the field of view; determining that the position is within a viewable range of the advertising medium and that the advertisement displayed on the advertising medium is included in the field of view, determining that the user is viewing the advertisement at the position; Including, A method for determining whether an advertisement is visible, the method being carried out by a computer.

11. An advertisement viewing determination program that causes a computer to execute the advertisement viewing determination method according to claim 1 .

12. An advertisement viewing determination device comprising at least one processor and a memory for storing a program, When the program is executed by the processor, the advertisement viewing determination device executes the advertisement viewing determination method according to any one of claims 1 to 10. Advertisement visibility determination device.

Images