JP2671666B2 - Kansei evaluation device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sensitivity evaluation device which is widely used in each process from design to production in order to develop a product based on human sensitivity, and particularly to improve accuracy and efficiency of sensitivity evaluation. The present invention relates to an improved sensitivity evaluation device.

[0002]

2. Description of the Related Art In recent years, various sensitivity evaluation devices have been proposed. Psychological evaluation methods are mainly used for the sensitivity evaluation in such sensitivity evaluation devices. Among them, the semantic differential method, which is almost established as a psychological evaluation method (hereinafter, referred to as “the combination of colors and shapes for expressing the intention of a product”), is investigated in order to find out how the user can perceive it. The SD method) is often used. The SD method is an evaluation target (object or word) by having a subject evaluate a scale composed of many adjective pairs.
Is a method for analyzing the images given by. Also,
At the time of this evaluation, in order to reduce the fluctuation of the subjective judgment criteria, a procedure of showing the entire evaluation target to the subject prior to the evaluation is generally used.

[0003]

However, a problem in the application of the SD method is that the reproducibility of the evaluation of each evaluation object is not so good as shown in FIG. That is, in FIG. 9, the evaluation results are significantly different between the first time and the second time, and it is impossible to judge whether the evaluation target has a clear impression or a vague impression, for example.

This is very important, for example, when judging the quality of evaluation of a newly developed product. The main cause of this poor reproducibility is that the subjective judgment criteria set before starting the evaluation change in the process of evaluating each evaluation target.

Conventionally, in order to solve this problem, a method of improving accuracy by applying a plurality of psychological evaluation methods in combination may be used. However, since such a psychological method alone hardly reveals the evaluation process of what the subject looks at and how the evaluation is performed, the accuracy cannot always be improved. In addition, by using a plurality of psychological methods together, it takes a lot of time and it is difficult to apply the method to product development.

The present invention has been made in view of the above problems, and an object of the present invention is to provide a sensitivity evaluation device that can improve reliability of evaluation data based on the sensitivity of a subject.

[0007]

In order to achieve the above object, a first invention of the present application is a viewpoint detecting means for detecting a position of a subject's viewpoint for visually evaluating information, and a viewpoint detecting means. The gist is to have an input means for inputting the obtained affective evaluation data and an analyzing means for analyzing the affective evaluation data input from the input means based on the viewpoint detection data input from the viewpoint detecting means. .

A second aspect of the present invention is a sensitivity evaluation apparatus for evaluating the similarity between a plurality of presented image information, and a viewpoint of an image of a subject at the time of performing the sensitivity evaluation on the image information. Point-of-view detection means for detecting a position, input means for inputting sensitivity evaluation data regarding similarity between a plurality of image information obtained by the sensitivity evaluation, and sensitivity evaluation data input from this input means for the viewpoint detection means. The gist is to have an evaluation means for evaluating based on the detection data input from.

[0009]

The sensitivity evaluation apparatus of the first invention of the present application first visually gives information to the subject and evaluates the sensitivity to this information. The position of the subject's viewpoint at this time is detected by the viewpoint detecting means, and this viewpoint detection data is output to the analyzing means. The analyzing means analyzes the affective evaluation data obtained by the affective evaluation based on the viewpoint detection data.

The sensitivity evaluation device of the second invention of the present application is
As shown in FIG. 2, first, in steps S1 and S3, a plurality of pieces of image information are visually provided to the subject, and the sensitivity of the similarity between the pieces of image information is evaluated. The viewpoint on the image of the subject at this time is detected by the viewpoint detecting means (step S
5, S7), the detection data is output to the evaluation means. This evaluation means evaluates the affective evaluation data on the similarity between the plurality of image information obtained by the affective evaluation in step S9 based on the detected data, and, for example, adopts the affective evaluation data (step S11), Whether or not (step S1
3) is determined.

[0011]

An embodiment according to the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram of a sensitivity evaluation device according to the present embodiment, which includes a computer 1 forming an analysis unit and an evaluation unit, and an evaluation image presentation device 3 capable of visually giving a plurality of image information to a subject. An eye movement measuring device 5 as a viewpoint detecting means, a kansei evaluation input device 7 as an input means, a display of the position of the viewpoint of the subject with respect to the presented image information for confirming the experimental progress of the kansei evaluation, and the subject's kansei evaluation A monitor 9 for displaying evaluation items necessary for inputting a value and a kansei evaluation result analyzed or evaluated by the computer 1, and a printer for printing out the kansei evaluation result displayed by the monitor 9 as visible information. It is composed of 11.

Next, the configuration of the above blocks will be described.

As shown in FIG. 3, the evaluation image presenting apparatus 3 projects image information A and B on the screen 10 by, for example, two projection apparatuses 3A and 3B. The image processing apparatus 3C outputs arbitrary or predetermined image information to the projection apparatus according to an instruction from the computer 1 in which the image information is stored in advance. The image information given as an evaluation target is presented as a three-dimensional image by computer graphics. The evaluation image presenting apparatus 3 is
The image information is not limited to the one configured by the projection device and the screen, and a large display may present any number of image information. Further, the switching of the evaluation image information to be presented can be performed by the subject himself or the operator of the sensitivity evaluation device instructing the computer 1 via the keyboard, and the computer 1 operates the evaluation image presenting device 3 in accordance with the instruction. It is pre-programmed to change the image information presented.

The eye movement measuring device 5 is a corneal reflection type or sclera reflection type eye camera (for example, EMR-6 manufactured by Nac Co.).
00) is applied, and is configured by a visual field imaging device mounted on the head of the subject and a device for detecting reflected light from the eyes of the light source. The eye movement measuring device 5 measures the eye movement of a subject and outputs the position of a target point (hereinafter referred to as a viewpoint) of the central vision of the visual field perceived by the subject to the computer 1 as coordinates. It should be noted that the computer 1 previously knows, in correspondence with the position of the head, which position on the coordinates within the visual field of the subject the image information area to be presented by the evaluation image presenting apparatus 3 is. It is set. Therefore, it is possible to know which image information the subject is looking at based on the coordinate data of the viewpoint output from the eye movement measuring device 5 and the coordinate data of the image information area preset in the computer 1.

The sensitivity evaluation input device 7 is composed of, for example, a keyboard and a mouse connected to the computer 1, and the sensitivity evaluation of the subject for the evaluation item displayed on the monitor 9 is input via the keyboard or the like. In addition,
All of the evaluation items may be displayed each time the whole affective evaluation is input, or may be sequentially displayed by instructing via the keyboard. The sensitivity evaluation may be input by the subject himself or herself by looking at the evaluation items displayed on the monitor, or the operator may ask the subject about the evaluation items and the operator may input the sensitivity evaluations answered by the subject. You may.

Here, a method of evaluating the sensitivity will be described. The commonly used SD method is applied to the sensitivity evaluation performed by the subject. First, prior to the evaluation, the image information of all the evaluation objects is presented at the same time when the evaluation objects are 5, 6 points, and in the case of more than that, it is presented two by two or simply divided into several groups. It should be noted that the viewpoint position of the subject has been measured by the eye movement measuring device 5 since the time of disclosure of the presentation. Next, the image information to be evaluated is presented one by one. The subject performs the SD method evaluation on the presented image information, and inputs the affective evaluation value for each evaluation item from the keyboard in five levels. When the subject has performed the affective evaluation on all the evaluation targets, the input of the affective evaluation value is completed by pressing a predetermined key on the keyboard.

Next, the relationship between the similarity of the two pieces of image information and the movement of the viewpoint, which the present inventor has found, will be described with reference to FIGS. 3 to 5. First, as shown in FIG. 3, the same subject was shown two sets of two pieces of image information to evaluate whether or not they were similar. It should be noted that it is predetermined that a set of image information A and B is randomly presented in the plurality of sets of two image information. Also, when the subject is evaluating, how the subject views the two image information is detected by the movement of the viewpoint. As a result of the above-described evaluation experiment, there were cases where the subject evaluated that the image information A and B did not resemble each other even if the same image information A and B were presented. It is considered that this is because the subject's sensibility evaluation standard was changed by the image information presented while the image information A and B were presented twice.

FIG. 4 shows which image information is gazed from the detection result when the subject makes different evaluations of the presented image information A and B in association with each observation time. FIG. 4 (a) shows the movement of the subject's viewpoint when the subject is evaluated to be dissimilar, and FIG. 4 (b) shows the movement of the subject's viewpoint when the subject is evaluated to be somewhat similar. is there. Further, in each of the strip-shaped portions shown in FIGS. 4A and 4B, the position of the viewpoint of the subject is in the area of the image information A and B, and the subject processes the information in the image information A and B. Time (hereinafter referred to as "gaze time") is represented, and the blank portion between the band-shaped portions is the time when the viewpoint position is not processing the information of the image information A and B, for example, the viewpoint is present in the image information A and B. Is not fixed, or image information A,
The time is outside the area B, for example, the time when the viewpoint moves from the image information A to the image information B.

It should be noted that the detection of whether or not the subject is processing information is performed by the eye movement measuring device 5, and specifically, the viewpoint of the subject is centered on the position at a certain time. 100 msec within a given range (within 1 ° radius)
This is performed by detecting whether or not the above is maintained.
This is because it is considered that the subject cannot recognize the information represented by the image in a short time of 100 msec or less.

What can be seen from FIGS. 4 (a) and 4 (b) is that
After processing the image information for the first time (starting point of gazing time),
As the tendency of the movement of the viewpoint up to about 3 seconds, when the subject feels similar, the image information A and B are alternately viewed in a short time, and when the subject feels dissimilar, each image That is, after individually viewing the information for a relatively long time, the sensitivity evaluation is determined after viewing the short-time image information A and B. It is considered that this reflects the kansei evaluation process for obtaining more detailed visual information before the evaluation is determined for the two pieces of image information that are felt to be similar.

FIG. 5 shows the result of an experiment for evaluating the sensitivity of all evaluation objects. The gaze time ratio (T = An + 1 / B) of the evaluation target is used as a parameter indicating the movement of the viewpoint with respect to the two image information.
n) is used. FIG. 5A shows the relationship between the gaze time ratio and the similarity, and FIG. 5B shows the gaze time A which is a parameter required to obtain the gaze time ratio T.
It is a figure for demonstrating n + 1 and Bn. Gaze time An
Alternatively, Bn is a gaze time when the subject views the image information A or the image information B for the nth time, and n is 3 for example.
In this case, the gaze time ratio T can be obtained from the ratio of the time when the image information A was seen the fourth time to the time when the image information B was seen the third time.

As shown in FIG. 5, when there are individual differences, but when it is felt that they are not similar to each other as shown in FIG. 4A, the gaze time of image information A and that of image information B change greatly. It can be seen that the gaze time ratio T is small because it is (small). Further, when they are similar to each other, it can be seen that there is not much difference between the gaze times of the image information A and B as shown in FIG. From these, by calculating the gaze time ratio and comparing the index t as the reference value with the gaze time ratio, it is possible to determine the similarity (whether or not the image information A and B are similar). it can.

Since the value of the index t depends on the object to be evaluated, it is necessary to perform a preliminary experiment and set it before using this device. This setting is performed as follows. First, a large number of pieces of image information similar to the evaluation target of the actual sensitivity evaluation are presented, and the subject is evaluated by the SD method to determine the similarity. Then, the movement of the line of sight when the image information is presented is detected. FIG. 6 shows the detection results. In addition, in FIG.
The locus | trajectory of the movement of the viewpoint for every 00 msec is shown. That is, FIG. 6A shows 0 to 200 msec, and FIG.
01 msec to 400 msec, 401 m in FIG. 6 (c)
The locus | trajectory of the movement of the viewpoint of the time zone of sec-600msec is shown. The gaze time shown in FIG. 4 is measured from such a detection result, and the gaze time ratio T is calculated. FIG. 5 shows the gaze time ratio T and the sensitivity evaluation (similarity) by the subject.
The table shown in (a) is created, and a reference value for similarity is determined and used as an index t. In the case of FIG. 5A, t
= 1.

Next, the operation of the computer 1 will be described with reference to the flowchart shown in FIG. First, in step S21, the coordinate data of the viewpoint is continuously input from the eye movement measuring device 5. Then, based on the input viewpoint coordinate data and the coordinate data of the image information area preset in the computer 1, it is detected which image information was seen at which time. Next, in step S23, combinations of all evaluation targets are created and the number of combinations m is calculated based on the evaluation target number i input by the operator or the like from the keyboard or the like. In step S23, j represents the number of the created set. Therefore, when there are 6 evaluation targets, the number of sets m is 15 and j is 1 to 15.

Next, in step S25, S
The sensitivity evaluation value evaluated by the subject by the D method is input. Next, in step S27, j is set to 1. Then, the processing from step S29 is performed on the evaluation target of the first combination number. Next, in step S29, step S
Based on the detection result in 21 and the time, in the case where the viewpoint exists for the j-th group (here, j = 1) of image information, for about 3 seconds from the time when the image information is first processed. The gaze time for each image information is measured based on the data of. For example, when the viewpoint moves to the image information A, B, A, B, and C, the data of the group of the image information A and B becomes the data before the time when the viewpoint moves from the image information B to the image information C, and the viewpoint ends. After the time of being present in the image information B, the data becomes a set of image information B and C. Of this data, the image information A, B
In the case of the set, the gaze time of each image information for 3 seconds from the time when the image information is first processed is measured. Based on this gaze time, a gaze time ratio T = An + 1 / Bn is calculated.

In the calculation, the number of times two pieces of image information are alternately viewed is determined based on the detection result in step S21. If the number is less than two, the image information of the set is not compared. Since it is difficult to estimate the reliability of the affective evaluation based on the movement of the viewpoint, the affective evaluation value input by the subject is saved as it is for the statistical processing (step S31). On the other hand, when the number of times the two pieces of image information are viewed alternately is two or more, the sets of image information are compared alternately and it is possible to determine the similarity. Therefore, in step S33, the gazing time ratio T (= An + 1 / Bn ) And the index t
The similarity between the two pieces of image information is determined by comparing and. That is, when the gaze time T is larger than the index t (YE
In S), it is determined that the two pieces of image information are similar.
If the gaze time T is equal to or less than the index t (NO), it is determined that the two pieces of image information are not similar.

Next, in steps S35 and S37, two sensitivity evaluation values corresponding to the image information of the j-th group (here, j = 1) in the sensitivity evaluation values of all the evaluation objects input in step S25 are compared. To do. The comparison method is performed, for example, by comparing the values of the respective evaluation items and determining whether they match or are within a predetermined range. Y in step S35
In the case of ES, it is judged that they are similar depending on the gaze time ratio (step 33), and it is judged that they are also similar according to the affective evaluation value. Step S3
In the case of 7 and NO, it is determined that they are not similar depending on the gaze time ratio (step 33), and it is also determined that they are not similar according to the affective evaluation value.

That is, since the similarity based on the gaze time and the similarity based on the sensitivity evaluation match, it can be determined that the reliability of the sensitivity evaluation value is high. Therefore, the process proceeds to step S39, and these sentiment evaluations are saved for statistical processing. If NO in step S35, it is determined that they are similar depending on the gaze time ratio (step S33), and it is determined that they are not similar depending on the affective evaluation value. If YES in step S39, it is determined that they are not similar depending on the gaze time ratio (step S33), and it is determined that they are similar depending on the affective evaluation value. That is, the sensitivity evaluation standard may have changed during the evaluation, and the similarity by the gaze time ratio and the similarity by the sensitivity evaluation value do not match, so the reliability of the sensitivity evaluation value is low. Can be determined. Therefore, the process proceeds to step S41,
These sentiment evaluation values are not saved for statistical processing and are not saved.

Then, in steps S43 and S45, steps S29 to (S31, S39, S) are performed for all the sets.
41), and then step S3 in step S47.
1, using a commercially available statistical analysis program (for example, a multivariate analysis program for NEC98) based on the values stored in S39, analyze a psychological image for each evaluation target as shown in FIG. Based on the result, the similarity of each evaluation target is analyzed, the quality of the evaluation of the newly developed product is determined, and the result is output to the monitor 9 and the printer 11, and the process ends.

By the procedure shown in FIG. 7 above, the evaluation value of the subject is corrected based on the movement of the viewpoint to obtain an evaluation value such as reproducibility rather than the evaluation value of sensitivity by the conventional method (see FIG. 9). It was possible (see FIG. 8).

[0031]

As described above, according to the sensitivity evaluation device of the present invention, it is possible to obtain an evaluation value having excellent reproducibility.

[Brief description of the drawings]

FIG. 1 is a block diagram showing one embodiment of the present invention.

FIG. 2 is a diagram showing a basic idea of the present invention.

FIG. 3 is a diagram showing a sensitivity evaluation scene in one embodiment of the present invention.

FIG. 4 is a diagram showing that the pattern of the movement of the viewpoint also changes when the psychological evaluations are different even if the same image pair is viewed.

FIG. 5 is a diagram showing a relationship between a degree of similarity based on psychological evaluation and an index calculated from a pattern of viewpoint movement.

FIG. 6 is a diagram showing an example of measurement of viewpoint movement measured in FIG. 8;

FIG. 7 is a diagram showing a flow of calculation for estimating the reliability of a psychological evaluation result by using an index based on a pattern of viewpoint movement.

FIG. 8 is a diagram showing reproducibility in kansei evaluation to which the present invention is applied. .

FIG. 9 is a diagram showing reproducibility in a conventional sensitivity evaluation.

[Explanation of symbols]

 1 Computer 3 Image Display Device for Evaluation 3A Projector 3B Projector 3C Image Processor 5 Eye Movement Measuring Device 7 Psychological Evaluation Input Device 9 Monitor 11 Printer

Claims (2)

(57) [Claims] 1. A viewpoint detecting means for detecting a position of a viewpoint of a subject who performs a sensitivity evaluation on visually given information, an input means for inputting a sensitivity evaluation data obtained by the sensitivity evaluation, and an input from the input means. And an analyzing unit for analyzing the sentiment evaluation data based on the viewpoint detection data input from the viewpoint detecting unit. 2. A kansei evaluation device for kansei evaluation of similarity between a plurality of presented image information, a viewpoint detecting means for detecting a position of a viewpoint on an image of a subject when kansei evaluation is performed on the image information. And input means for inputting the affective evaluation data regarding the similarity between the plurality of image information obtained by the affective evaluation, and the affective evaluation data input from this input means for detecting the detection data input from the viewpoint detecting means. A sensibility evaluation device comprising: an evaluation unit for making an original evaluation.