Determination device, program, and method for determining cognitive characteristics from user's gaze movement

The gaze-based determination device and method accurately assess cognitive traits by analyzing gaze time on main and secondary regions, addressing existing inaccuracies in cognitive characteristic measurement and enabling tailored intervention strategies.

JP7797433B2Active Publication Date: 2026-01-13KDDI CORP
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Patent Information

Application Number
JP2023054582
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2023-03-30
Publication Date
2026-01-13
Estimated Expiration
2043-03-30

AI Technical Summary

Technical Problem

Existing methods for determining cognitive characteristics, both explicit and implicit, suffer from issues such as variability in correct answer rates across problems, inclusion of explicit characteristics in implicit measurements, and limited applicability to users who can solve calculation problems, leading to low accuracy and inability to account for decision-making in uncertain situations.

Method used

A determination device and method that utilizes gaze movement analysis to assess cognitive characteristics by measuring gaze time on main and secondary regions, distinguishing between intuitive and deliberative traits, and determining decision-making characteristics based on explicit cognitive traits, with additional consideration for latent cognitive traits through emotion term classification and gaze distance time calculation.

Benefits of technology

Enables accurate determination of cognitive characteristics, allowing for personalized intervention information to modify behavior in both normal and uncertain situations, improving the accuracy of decision-making assessments.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

To provide a determination device, etc. for determining perception characteristics of a user with comparative high accuracy.SOLUTION: A determination device for determining perception characteristics from the visual line movement of a user includes: test screen display means for displaying a test image including a main region and a sub-region other than the main region to a user; gaze trajectory acquisition means for acquiring a gaze trajectory of the user for the test image; gaze time detection means for detecting a main gaze time for gazing at the main region and a sub-gaze time for gazing at the sub-region from the gaze trajectory; and overt perception characteristic determination means for comparing the main gaze time and the sub-gaze time, and determining overt perception characteristics. The overt perception characteristic determination means determines "intuitive" or "deliberate" in the overt perception characteristics. When the difference between the main gaze time and the sub-gaze time is a predetermined threshold or more, the determination is "intuitive." and when the difference is smaller than the predetermined threshold, the determination is "deliberate." The overt perception characteristics are accumulated as attributes for each user.SELECTED DRAWING: Figure 2
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Description

[Technical Field]

[0001] The present invention relates to a technique for determining a cognitive characteristic of a user. [Background technology]

[0002] People's decision-making characteristics can be broadly divided into "risk preference" and "risk aversion." For example, people with a "risk preference" may understand that disaster prevention supplies will be necessary in the event of a disaster, but may not prepare for them, or may not take evacuation action even when they see an evacuation advisory on the news, thinking "I'll be fine."

[0003] Human decision-making characteristics often lead to the selection of "risk-seeking" behavior, even when "risk-averse" behavior would be better. One influential theory for such irrational decision-making is the "dual process theory." Specifically, it is said that humans have both the ability to process information quickly, automatically, and “intuitively,” and the ability to process information slowly but consciously and “deliberatively” (see, for example, non-patent document 1). Such cognitive characteristics are said to affect a person's decision-making characteristics (see, for example, Non-Patent Documents 1 and 2). People with "deliberative" cognitive characteristics tend to make decisions from a variety of perspectives and choose risk-averse behavior. On the other hand, people with "intuitive" cognitive characteristics tend to make decisions based on biased information without deep thought and therefore choose risk-taking behavior.

[0004] Conventionally, there is a test method in which subjects are asked to answer several calculation problems to assess explicit cognitive characteristics (see, for example, Non-Patent Documents 2 and 3). Each problem has an intuitive answer (a typical incorrect answer) and a deliberate answer (a correct answer), and correct answers are counted as one point per question. A person with a higher total score is judged to be more "deliberate," while a person with a lower total score is judged to be more "intuitive." However, in order to score all problems as one point, it is necessary to assume equivalence between all problems.

[0005] In addition to a person's explicit cognitive characteristics, there are also implicit cognitive characteristics. Implicit cognitive characteristics are tested, for example, by the IAT (Implicit Association Test). This measures the strength of the association between concepts through a classification task of words that represent different concepts. The faster and more correctly a person can classify, the stronger the implicit association between the "classifying concept" and the "classified concept." According to the IAT, there are two types of operation methods: an operation method in which the user presses keys on the keyboard of a personal computer (see, for example, Non-Patent Document 5), and an operation method in which the user presses and moves options with a finger (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Patent No. 6161097 [Non-patent literature]

[0007] [Non-Patent Document 1] Kahneman, D. (2003). A perspective on judgment and choice: mapping bounded rationality. American psychologist, 58(9), 697. [online] [Retrieved March 25, 2023], Internet<URL: https: / / psycnet.apa.org / record / 2003-08746-001> [Non-patent document 2] Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25-42. [online] [Retrieved March 25, 2023], Internet <url: https: www.aeaweb.org articles?id="10.1257 / 089533005775196732"> [Non-patent document 3] Harada, Y., Harada, E., Harada, E., & Sudo, S. (2018). Verification of inter-item equivalence and presentation order / instruction effects in the Cognitive Reflection Test (CRT): A study using a group experiment with university students. Tsukuba University Psychological Research, 56, 27-34. [online] [Retrieved March 25, 2023], Internet<URL:https: / / iss.ndl.go.jp / books / R000000004-I029333276-00> [Non-patent document 4] Gibson, B. (2008). Can evaluative conditioning change attitudes toward mature brands? New evidence from the Implicit Association Test. Journal of Consumer Research, 35(1), 178-188. [online] [Retrieved March 25, 2023], Internet <URL: https: / / www.researchgate.net / publication / 23547436_Can_Evaluative_Conditioning_Change_Attitudes_Toward_Mature_Brands_New_Evidence_from_the_Implicit_Association_Test> [Non-patent document 5] Morio, H. (2007). The Potential of Implicit Association Tests. Educational Testing Research Center, 4th Research Meeting Report, 1-13. [online], [Retrieved March 25, 2023], Internet<URL: https: / / www.cret.or.jp / files / 29801c5f8e57f38971ca33db8ebfde0a.pdf> [Non-patent document 6] Damiano, C., & Walther, DB (2019). Distinct roles of eye movements during memory encoding and retrieval. Cognition, 184, 119-129., [online], [Retrieved March 25, 2020], Internet<URL:https: / / pubmed.ncbi.nlm.nih.gov / 30594878 / > DISCLOSURE OF THE INVENTION [Problem to be solved by the invention]

[0008] According to Non-Patent Documents 2 and 3, the rate of correct answers varies from one calculation problem to another, posing a problem regarding equivalence. Also, the low accuracy of estimating cognitive characteristics is an issue due to the influence of factors such as likes and dislikes of calculation problems, skills (strengths and weaknesses), and calculation errors. Furthermore, there is also the issue of limiting the subjects to be measured, since only subjects over a certain age who have the skills to solve the calculation problems can be measured.

[0009] According to Non-Patent Document 5 and Patent Document 1, finger manipulation as a method for measuring implicit cognitive characteristics has the problem that it is relatively easily controlled by a person's conscious awareness. In other words, even though it is intended to measure a person's implicit cognitive characteristics, it is likely to include a person's explicit cognitive characteristics.

[0010] It has been proposed that human decision-making requires consideration of both explicit and implicit cognitive characteristics (see, for example, Non-Patent Document 4). However, in the cases of Non-Patent Documents 2 and 3, the accuracy of determining explicit cognitive characteristics is low, and in the cases of Non-Patent Document 5 and Patent Document 1, explicit cognitive characteristics are included in implicit cognitive characteristics. As a result, it is difficult to determine a person's decision-making characteristics as accurately as possible.

[0011] Furthermore, the decision-making characteristics in the above-mentioned prior art have been considered only in normal situations, and not in uncertain situations. For example, when an evacuation advisory is issued, the user faces a high cognitive load when making a decision to evacuate due to time constraints, lack of information, etc. In this way, decision-making in uncertain situations that impose a high cognitive load may differ from decision-making in normal situations (see, for example, Non-Patent Document 4).

[0012] In response to this, the inventors of the present application envision a service that can provide appropriate intervention information for behavior modification to users, whether they are in a normal situation or an uncertain situation. In this case, if it is possible to determine the user's decision-making characteristics, it is possible to provide appropriate intervention information for behavior modification for each user, according to their decision-making characteristics. Providing such intervention information can also prepare for future risks.

[0013] Therefore, an object of the present invention is to provide a determination device, a program, and a method for determining a user's cognitive characteristics with relatively high accuracy. [Means for solving the problem]

[0014] According to the present invention, there is provided a determination device for determining a cognitive characteristic from a movement of a user's gaze, comprising: a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; When the difference between the primary and secondary gaze times is equal to or greater than a predetermined threshold, the user is judged as "intuitive," and when it is less than the threshold, the user is judged as "deliberative." an explicit cognitive characteristic assessment means for assessing explicit cognitive characteristics; 、 A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; The present invention is characterized by having the following.

[0015] According to another embodiment of the determination device of the present invention, The gaze time detection means sets one or more arbitrary coordinate points in the test image, and defines the area from the coordinate points up to a predetermined distance as the main area, and the area other than the main area as the sub-area. It is also preferred that the

[0017] According to another embodiment of the determination device of the present invention, The system further includes a decision-making characteristic determination means for determining whether the decision-making characteristic is "risk preference" when the explicit cognitive characteristic is "intuitive" or "risk aversion" when the explicit cognitive characteristic is "deliberative." death, The user attribute storage means stores decision-making characteristics as attributes for each user. It is also preferable. According to another embodiment of the determination device of the present invention, In order to send behavioral change intervention information to the user in normal situations, an intervention information storage means for storing different intervention information according to the explicit cognitive characteristics; an intervention information transmission means for transmitting different intervention information for each user using the intervention information storage means; It is also preferable that it further has

[0018] The present invention According to the present invention, a determination device for determining cognitive characteristics from the movement of a user's gaze includes: a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; an explicit cognitive characteristic determination means for determining the explicit cognitive characteristic such that the larger the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "intuitive" and the smaller the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "deliberative"; A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; have It is characterized by:

[0019] According to another embodiment of the determination device of the present invention, The method further includes a decision-making characteristic assessment means for determining whether the characteristic level of the explicit cognitive characteristics is "intuitive" or "risk preference" and whether the characteristic level of the explicit cognitive characteristics is "deliberative" or "risk aversion" or "risk preference" as the decision-making characteristic. death, The user attribute storage means stores decision-making characteristics as attributes for each user. It is also preferable.

[0020] According to another embodiment of the determination device of the present invention, In order to send behavioral change intervention information to the user in normal situations, an intervention information storage means for storing different intervention information according to the explicit cognitive characteristics; an intervention information transmission means for transmitting different intervention information for each user using the intervention information storage means; It is also preferable that it further has

[0028] According to the present invention, there is provided a determination device for determining a cognitive characteristic from a movement of a user's gaze, comprising: a term storage means for storing a plurality of positive and negative emotion terms as first-type concepts and a plurality of intuitive and deliberative terms as second-type concepts; a term selection means for selecting positive emotion terms and negative emotion terms as first-class concepts and intuitive terms and deliberative terms as second-class concepts using a term storage means; a first operation screen display means for displaying a first operation screen that classifies any deliberative term included in the term storage means into either a first icon representing good and deliberative or a second icon representing bad and intuitive, according to a user's gaze trajectory; a second operation screen display means for displaying a second operation screen for classifying the arbitrary deliberative term into either a third icon representing good and intuitive or a fourth icon representing bad and deliberative according to a user's gaze trajectory; a gaze distance time calculation means for calculating a first gaze distance time by multiplying the gaze path distance and gaze time when the arbitrary deliberative term is classified as a first icon on the first operation screen, and a fourth gaze distance time by multiplying the gaze path distance and gaze time when the arbitrary deliberative term is classified as a fourth icon on the second operation screen; a latent cognitive characteristic determination means for determining the latent cognitive characteristic as "deliberative" if the first gaze distance time is shorter than the fourth gaze distance time, and determining the latent cognitive characteristic as "intuitive" otherwise; The present invention is characterized by having the following.

[0029] According to the present invention, there is provided a determination device for determining a cognitive characteristic from a movement of a user's gaze, comprising: a term storage means for storing a plurality of positive and negative emotion terms as first-type concepts and a plurality of intuitive and deliberative terms as second-type concepts; a term selection means for selecting positive emotion terms and negative emotion terms as first-class concepts and intuitive terms and deliberative terms as second-class concepts using a term storage means; a first operation screen display means for displaying a first operation screen that allows any intuitive term included in the term storage means to be classified into a first icon representing good and deliberate or a second icon representing bad and intuitive, according to a user's gaze trajectory; a second operation screen display means for displaying a second operation screen for classifying the arbitrary intuitive term into either a third icon representing good and intuitive or a fourth icon representing bad and deliberate, according to a user's gaze trajectory; a gaze distance time calculation means for calculating a second gaze distance time by multiplying the gaze time by the distance of the gaze trajectory when the given intuitive term is classified as a second icon on the first operation screen, and a third gaze distance time by multiplying the gaze time by the distance of the gaze trajectory when the given intuitive term is classified as a third icon on the second operation screen; a latent cognitive characteristic determination means for determining the latent cognitive characteristic as "intuitive" if the third gaze distance time is shorter than the second gaze distance time, and determining the latent cognitive characteristic as "deliberative" otherwise; The present invention is characterized by having the following.

[0030] According to another embodiment of the determination device of the present invention, the determination device further includes a decision-making characteristic determination means for determining the decision-making characteristic as "risk preference" when the latent cognitive characteristic is "intuitive" and determining the decision-making characteristic as "risk aversion" when the latent cognitive characteristic is "deliberative." It is also preferable.

[0031] According to the present invention, there is provided a program for causing a computer to function so as to determine cognitive characteristics from a user's eye movement, the program comprising: a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; When the difference between the primary and secondary gaze times is equal to or greater than a predetermined threshold, the user is judged as "intuitive," and when it is less than the threshold, the user is judged as "deliberative." an explicit cognitive characteristic assessment means for assessing explicit cognitive characteristics; 、 A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; The present invention is characterized by the fact that it makes a computer function by using the above-mentioned method. According to the present invention, there is also provided a program for causing a computer to function so as to determine cognitive characteristics from a user's gaze movement, the program comprising: a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; an explicit cognitive characteristic determination means for determining the explicit cognitive characteristic such that the larger the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "intuitive" and the smaller the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "deliberative"; A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; The present invention is characterized by the fact that it makes a computer function by using the above-mentioned method.

[0032] According to the present invention, there is provided a program for causing a computer to function so as to determine cognitive characteristics from a user's eye movement, the program comprising: a term storage means for storing a plurality of positive and negative emotion terms as first-type concepts and a plurality of intuitive and deliberative terms as second-type concepts; a term selection means for selecting positive emotion terms and negative emotion terms as first-class concepts and intuitive terms and deliberative terms as second-class concepts using a term storage means; a first operation screen display means for displaying a first operation screen that classifies any deliberative term included in the term storage means into either a first icon representing good and deliberative or a second icon representing bad and intuitive, according to a user's gaze trajectory; a second operation screen display means for displaying a second operation screen for classifying the arbitrary deliberative term into either a third icon representing good and intuitive or a fourth icon representing bad and deliberative according to a user's gaze trajectory; a gaze distance time calculation means for calculating a first gaze distance time by multiplying the gaze path distance and gaze time when the arbitrary deliberative term is classified as a first icon on the first operation screen, and a fourth gaze distance time by multiplying the gaze path distance and gaze time when the arbitrary deliberative term is classified as a fourth icon on the second operation screen; a latent cognitive characteristic determination means for determining the latent cognitive characteristic as "deliberative" if the first gaze distance time is shorter than the fourth gaze distance time, and determining the latent cognitive characteristic as "intuitive" otherwise; The present invention is characterized by the fact that it makes a computer function by using the above-mentioned method.

[0033] According to the present invention, there is provided a program for causing a computer to function so as to determine cognitive characteristics from a user's eye movement, the program comprising: a term storage means for storing a plurality of positive and negative emotion terms as first-type concepts and a plurality of intuitive and deliberative terms as second-type concepts; a term selection means for selecting positive emotion terms and negative emotion terms as first-class concepts and intuitive terms and deliberative terms as second-class concepts using a term storage means; a first operation screen display means for displaying a first operation screen that allows any intuitive term included in the term storage means to be classified into a first icon representing good and deliberate or a second icon representing bad and intuitive, according to a user's gaze trajectory; a second operation screen display means for displaying a second operation screen for classifying the arbitrary intuitive term into either a third icon representing good and intuitive or a fourth icon representing bad and deliberate, according to a user's gaze trajectory; a gaze distance time calculation means for calculating a second gaze distance time by multiplying the gaze time by the distance of the gaze trajectory when the given intuitive term is classified as a second icon on the first operation screen, and a third gaze distance time by multiplying the gaze time by the distance of the gaze trajectory when the given intuitive term is classified as a third icon on the second operation screen; a latent cognitive characteristic determination means for determining the latent cognitive characteristic as "intuitive" if the third gaze distance time is shorter than the second gaze distance time, and determining the latent cognitive characteristic as "deliberative" otherwise; The present invention is characterized by the fact that it makes a computer function by using the above-mentioned method.

[0034] According to the present invention, there is provided a method for determining cognitive characteristics of a device based on gaze movement of a user, the method comprising: The device is a first step of displaying a test image to a user, the test image including a primary region and other secondary regions; a second step of acquiring a user's gaze trajectory on the test image; a third step of detecting a main gaze time during which the user gazes at the main region and a secondary gaze time during which the user gazes at the secondary region from the gaze trajectory; When the difference between the primary and secondary gaze times is equal to or greater than a predetermined threshold, the user is judged as "intuitive," and when it is less than the threshold, the user is judged as "deliberative." The fourth step is to determine explicit cognitive characteristics. 、 Accumulate explicit cognitive characteristics as attributes for each user Fifth step and The present invention is characterized by carrying out the following. According to the present invention, there is also provided a method for determining cognitive characteristics of a device based on gaze movement of a user, the method comprising: The device is a first step of displaying a test image to a user, the test image including a primary region and other secondary regions; a second step of acquiring a user's gaze trajectory on the test image; a third step of detecting a main gaze time during which the user gazes at the main region and a secondary gaze time during which the user gazes at the secondary region from the gaze trajectory; A fourth step is to determine the explicit cognitive traits, in which the larger the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "intuitiveness," and the smaller the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "deliberativeness." The fifth step is to accumulate explicit cognitive characteristics as attributes for each user. The present invention is characterized by carrying out the following.

[0035] According to the present invention, there is provided a method for determining cognitive characteristics of a device based on gaze movement of a user, the method comprising: The device is a term storage unit that stores a plurality of positive and negative emotion terms as first-type concepts and a plurality of intuitive and deliberative terms as second-type concepts; Using a term storage unit, positive emotion terms and negative emotion terms are selected as first-class concepts, and intuitive terms and deliberative terms are selected as second-class concepts; a first step of displaying a first operation screen that allows any deliberative term included in a term storage unit to be classified into either a first icon representing good and deliberative or a second icon representing bad and intuitive, based on a user's gaze trajectory; a second step of displaying a second operation screen that allows the user to classify the arbitrary deliberative term into either a third icon representing good and intuitive or a fourth icon representing bad and deliberative, based on the user's gaze trajectory; a third step of calculating a first gaze distance time by multiplying the distance of the gaze trajectory and the gaze time when the arbitrary deliberative term is classified as a first icon on the first operation screen, and a fourth gaze distance time by multiplying the distance of the gaze trajectory and the gaze time when the arbitrary deliberative term is classified as a fourth icon on the second operation screen; a fourth step in which, if the first gaze distance time is smaller than the fourth gaze distance time, the latent cognitive trait is determined to be “deliberative”; otherwise, the latent cognitive trait is determined to be “intuitive”; The present invention is characterized by carrying out the following.

[0036] According to the present invention, there is provided a method for determining cognitive characteristics of a device based on gaze movement of a user, the method comprising: The device is a term storage unit that stores a plurality of positive and negative emotion terms as first-type concepts and a plurality of intuitive and deliberative terms as second-type concepts; Using a term storage unit, positive emotion terms and negative emotion terms are selected as first-class concepts, and intuitive terms and deliberative terms are selected as second-class concepts; a first step of displaying a first operation screen that allows any intuitive term included in the term storage unit to be classified into either a first icon representing good and deliberate or a second icon representing bad and intuitive, based on a user's gaze trajectory; a second step of displaying a second operation screen that allows the user to classify the given intuitive term into either a third icon representing good and intuitive or a fourth icon representing bad and deliberate, based on the user's gaze trajectory; a third step of calculating, for the given intuitive term, a second gaze distance time by multiplying the distance of the gaze trajectory by the gaze time when the given intuitive term is classified as a second icon on the first operation screen, and a third gaze distance time by multiplying the distance of the gaze trajectory by the gaze time when the given intuitive term is classified as a third icon on the second operation screen; If the third gaze distance time is smaller than the second gaze distance time, the latent cognitive trait is judged as "intuitive"; otherwise, it is judged as "deliberative." A fourth step is The present invention is characterized by carrying out the following. [Effects of the Invention]

[0037] According to the determination device, program, and method of the present invention, it is possible to determine the cognitive characteristics of a user with a relatively high degree of accuracy. [Brief explanation of the drawings]

[0038] [Figure 1] 1 is a system configuration diagram according to the present invention. [Figure 2] 1 is a functional configuration diagram of a determination device for determining an overt cognitive characteristic in the present invention. [Figure 3] 10 is an example of a test image for determining an explicit cognitive characteristic. [Figure 4] 1 is an example showing the main and sub-regions of a test image. [Figure 5] 1 is a functional configuration diagram of a determination device for determining decision-making characteristics according to the present invention. [Figure 6] 4 is an example showing a display screen of a first preliminary operation screen display unit and a second preliminary operation screen display unit in the determination device of the present invention. [Figure 7] 4 is a first example showing a display screen of a first operation screen display unit and a second operation screen display unit in the determination device of the present invention. [Figure 8] 10 is a second example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention. [Figure 9] 10 is a third example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention. [Figure 10] 10 is a fourth example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention. [Figure 11] 3 is an explanatory diagram of a determination method of a decision-making characteristic determination unit in the determination device of the present invention. FIG. [Figure 12] 1 is a functional configuration diagram of a determination device for determining a latent cognitive trait in the present invention. [Figure 13] 1 is a functional configuration diagram of a determination device for determining decision-making characteristics from explicit cognitive characteristics in the present invention. [Figure 14] 1 is a functional configuration diagram of a determination device for determining decision-making characteristics from latent cognitive characteristics in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0039] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0040] FIG. 1 is a diagram showing the system configuration according to the present invention.

[0041] According to FIG. 1, a determination device 1 can communicate with a display device 2, an eye tracking device 3, and a mobile terminal 4 via a network.

[0042] [Judgment device 1] The determination device 1 determines the "cognitive characteristics" of a user. The determination device 1 transmits a test image to a display device 2 that the user views, and receives the user's "gaze trajectory" from an eye-tracking device 3. It also transmits "intervention information" that is expected to induce behavioral change to a mobile terminal 4 carried by the user. Although the determination device 1 is connected to a network as a server, it may of course be configured with one or more computers.

[0043] [Display device 2] The display device 2 displays the "test image" received from the determination device 1 to the user.

[0044] [Eye tracking device 3] The eye tracking device 3 measures the movement of the user's eyeballs to obtain a "gaze trajectory." The gaze trajectory corresponds to the coordinate point on which the user gazes for each time, and represents the transition of the gaze coordinate point over time (the temporal displacement of the coordinate point). One eye tracking technique is to emit infrared light toward the eye and measure the movement of the gaze from the positional relationship between the light reflected by the cornea and the pupil. Of course, the eye tracking device 3 may be configured as an integrated system with the display device 2. The eye tracking device 3 transmits the acquired gaze trajectory to the determination device 1. The determination device 1 determines the cognitive characteristics of the user based on the gaze trajectory.

[0045] [Mobile device 4] The mobile terminal 4 is, for example, a smartphone that is always carried by the user. The mobile terminal 4 receives "intervention information" from the determination device 1 under various circumstances and presents the intervention information to the user. The intervention information is, for example, a message that prompts the user to change their behavior. Different intervention information is presented to the user depending on different circumstances, such as a normal situation or an uncertain situation.

[0046] FIG. 2 is a functional configuration diagram of a determination device for determining an overt cognitive characteristic in the present invention.

[0047] Human cognitive characteristics include "overt cognitive characteristics" that can be classified as "intuitive" or "deliberative." The overt cognitive characteristics in the present invention take into account the cognitive characteristics of a user in a "normal situation" where the cognitive load is relatively low.

[0048] 2, the determination device 1 can determine the overt cognitive characteristic in a normal situation. Here, one of the features of the present invention is that a physiological index, namely, a user's gaze trajectory, is used to determine the overt cognitive characteristic. Compared to physical indicators such as fingertip movements, physiological indicators are difficult for users to control arbitrarily. In other words, it is believed that physiological indicators can determine a person's true feelings (their natural state) as accurately as possible.

[0049] 2, the determination device 1 includes a user attribute storage unit 101, an intervention information storage unit 102, a test image display unit 11, a gaze trajectory acquisition unit 12, a gaze time detection unit 13, an explicit cognitive characteristic determination unit 141, and an intervention information transmission unit 15. These functional components are realized by executing a program that causes a computer installed in the device to function. The processing flow of these functional components can also be understood as a method for determining cognitive characteristics.

[0050] [Test image display section 11] The test image display unit 11 is for displaying a test image including a "main region" and other "sub-regions" to the user. As shown in Figs. 1 and 2, the test image display unit 11 of the determination device 1 transmits the test image to the display device 2 that the user views. Of course, the test image display unit 11 may display the test image on a display that is integrally mounted on the determination device 1.

[0051] FIG. 3 shows an example of a test image for determining the overt cognitive characteristics.

[0052] As shown in Figure 3, the test image has the area inside the outer edge of the object of interest as the "primary area" and the rest as the "secondary area." The test image is displayed on the display for a relatively short time, for example, about 3 seconds. In addition, a task is presented to the user for each test image. The test image in Figure 3(a) displays a test image showing the facial expressions of five people. The task is also presented as "How is the person in the middle feeling?" According to this test image, the main region is the region showing the person in the middle, and the sub-region is the rest. Here, the user is asked to imagine the feelings of the person in the middle.

[0053] The test image in Figure 3(b) shows a test image of several fish in an aquarium. The task is to "memorize the image so that you can explain it to others." In this test image, the main region is the region where the fish appear, and the sub-region is the rest. Here, the user is asked to memorize the entire image.

[0054] [Gaze trajectory acquisition unit 12] The gaze trajectory acquisition unit 12 acquires the user's "gaze trajectory" for the test image. The determination device 1 receives the gaze trajectory from the eye tracking device 3. According to Figure 3, areas where the user's gaze stayed for a relatively long time are represented by circular nodes of a size corresponding to the time spent there. Furthermore, the movement of the gaze between the circular nodes is represented by links.

[0055] According to FIG. 3(a), the user moves his / her gaze as if comparing the face of the person in the middle with the faces of the other people around him / her. Also, according to FIG. 3(b), the user moves his / her gaze as if comparing the multiple fish with the surrounding seaweed.

[0056] FIG. 4 is an example showing the main and sub-regions of a test image.

[0057] According to Fig. 4, one or more arbitrary (center) coordinate points are set in the test image, and the area from the coordinate points up to a predetermined distance (for example, radius) is defined as the "main area," and the rest is defined as the "sub-area." Of course, regardless of the radius, two arbitrary coordinate points may be determined, and a rectangular area with the line connecting the two coordinate points as its diagonal may be defined as the main area, and the rest as the sub-area. Unlike Fig. 3, Fig. 4 does not require identifying the outer edge of the object of interest in the test image, but only requires setting the central coordinate point, and the main region and the sub-region can be distinguished only by a predetermined distance, which is the radius from the central coordinate point.

[0058] [Gaze time detection unit 13] The gaze time detection unit 13 detects a "main gaze time" during which the subject gazes at the main region and a "secondary gaze time" during which the subject gazes at the secondary region from the gaze trajectory. The detected main gaze time and secondary gaze time are output to the explicit cognitive characteristic determination unit 141.

[0059] [Overt cognitive characteristic assessment unit 141] The overt cognitive characteristic determination unit 141 compares the main gaze time with the secondary gaze time to determine the overt cognitive characteristic. The overt cognitive characteristic is determined to be either "intuitive" or "deliberative."

[0060] Figure 2 shows two methods of evaluation. In both methods, the larger the difference between the primary and secondary gaze times, the more "intuitive" the user is judged to be, and conversely, the smaller the difference, the more "deliberative" the user is judged to be. <First judgment method> The overt cognitive characteristics are expressed as two values: intuitive and deliberate. The difference (absolute value) between the main gaze time and the secondary gaze time is compared with a predetermined threshold to determine the following: Difference between primary and secondary gaze times (absolute value) ≥ predetermined threshold: "intuitive" Difference between main gaze time and secondary gaze time (absolute value) < predetermined threshold: "deliberative"

[0061] <Second judgment method> The explicit cognitive characteristics are expressed as a characteristic degree between intuitive and deliberative. The larger the difference between the primary and secondary gaze times, the stronger the "intuitive" characteristic degree, and conversely, the smaller the difference, the stronger the "deliberative" characteristic degree. Main fixation time is significantly longer than secondary fixation time: "intuitive" Main fixation time is relatively longer than secondary fixation time: "Somewhat intuitive" Main fixation time is slightly longer than secondary fixation time: "Somewhat deliberative" Main fixation time is almost the same as secondary fixation time: "deliberative" Main fixation time is slightly shorter than secondary fixation time: "Somewhat deliberative" Primary fixation time is relatively shorter than secondary fixation time: "Somewhat intuitive" Main fixation time is significantly shorter than secondary fixation time: "intuitive"

[0062] [User attribute storage unit 101] The user attribute storage unit 101 receives the explicit cognitive characteristics of the user as input from the explicit cognitive characteristic determination unit 141. Then, the user attribute storage unit 101 stores the explicit cognitive characteristics as attributes for each user.

[0063] [Intervention information storage unit 102] The intervention information accumulation unit 102 accumulates intervention information corresponding to each overt cognitive characteristic for each intervention type. Here, the intervention information may be a message that encourages a user in a normal situation to change their behavior.

[0064] [Intervention information transmission unit 15] The intervention information transmitting unit 15 refers to the explicit cognitive characteristic for each user using the intervention information storage unit 102. Then, the intervention information transmitting unit 15 transmits, for each user, intervention information for behavior modification according to the explicit cognitive characteristic of the user in a normal situation.

[0065] FIG. 5 is a functional configuration diagram of a determination device for determining decision-making characteristics in the present invention.

[0066] According to Figure 2, the situation is considered to be normal for the user, with a low cognitive load. On the other hand, according to Figure 5, the situation is considered to be uncertain for the user, with a high cognitive load. That is, according to Figure 5, by considering the weight of implicit cognitive characteristics in addition to explicit cognitive characteristics, it is possible to determine decision-making characteristics under uncertain situations.

[0067] 5, the determination device 1 further includes a term storage unit 103, a term selection unit 16, a first operation screen display unit 171, a second operation screen display unit 172, a latent cognitive characteristic determination unit 142, a decision-making characteristic determination unit 143, a first preliminary operation screen display unit 181, a second preliminary operation screen display unit 182, and a gaze distance time calculation unit 19, in comparison with FIG. 2. These functional components are also realized by executing a program that causes a computer installed in the device to function. The processing flow of these functional components can also be understood as a method for determining cognitive characteristics.

[0068] FIG. 6 shows an example of the display screen of the first preliminary operation screen display unit and the second preliminary operation screen display unit in the determination device of the present invention.

[0069] [First auxiliary operation screen display section 181] The first preliminary operation screen display unit 181 displays, via the display device 2, a first preliminary operation screen that allows any first term to be classified as follows. Icons of positive emotions Negative emotion term icons The first term is then stored in the term storage unit 103 as a classified positive emotion term or negative emotion term.

[0070] 6, for example, the user determines whether to classify the term "logical" as a positive emotion term or a negative emotion term. In this example, the user classifies the term "logical" as a positive emotion term.

[0071] [Second auxiliary operation screen display section 182] The second preliminary operation screen display unit 182 displays, via the display device 2, a second preliminary operation screen that allows any second term to be classified as follows. Deliberative term icon Intuitive terminology icons The second terms are then stored in the term storage unit 103 as classified deliberative emotional terms or intuitive emotional terms.

[0072] 6, for example, the user determines whether to classify the term "examine" as a deliberative emotion term or an intuitive emotion term. In this example, the user classifies the term "examine" as a deliberative emotion term.

[0073] [Terminology Storage Unit 103] The term storage unit 103 stores the terms classified into two concepts by the first preliminary operation screen display unit 181 and the second preliminary operation screen display unit 182. First-class concepts: "good sentiment terms" and "bad sentiment terms" Second-class concepts: "intuitive terms" and "deliberative terms" For example, suppose you have stored terms as follows: Positive emotional terms: wonderful, logical, fun, joyful, brilliant, happy Negative emotional terms: terrible, illogical, horrible, distressing, horrible, failure Intuitive terms: emotional, intuitive, emotional, sixth sense, sensory, moment-to-moment Deliberative terms: carefully, reconsider, reconsider, reassess, fold one's arms, "examine"

[0074] [Term Selection Section 16] The term selection unit 16 uses the term storage unit 103 to select terms as follows. First-class concepts: Select any positive and negative emotion terms. Second-class concepts: choose any intuitive term and any deliberative term

[0075] [First operation screen display unit 171] The first operation screen display unit 171 displays, via the display device 2, a first operation screen that allows any term included in the term storage unit 103 to be classified into one of the following icons according to the user's gaze trajectory. First icon: Means good and deliberate Second icon: Means evil and intuitive

[0076] [Second operation screen display unit 172] The second operation screen display unit 172 displays, via the display device 2, a second operation screen that allows any term included in the term storage unit 103 to be classified into one of the following icons according to the user's gaze trajectory. Third icon: Good and intuitive Fourth Icon: Evil and Deliberative

[0077] The classification presentation of combinations such as the first to fourth icons allows the user to consider the relationship between the first type concept and the second type concept. Specifically, if a user can classify correctly and quickly (short decision time), it means that the relationship between the two concepts for that term is strong. On the other hand, if the user classifies incorrectly or with hesitation (long decision time), it means that the relationship between the two concepts for that term is weak.

[0078] 7, the first operation screen prompts the user to classify, for example, the term "examine" into either the first icon or the second icon. Also, the second operation screen prompts the user to classify, for example, the term "examine" into either the third icon or the fourth icon.

[0079] [Gaze distance time calculation unit 19] The gaze distance time calculation unit 19 calculates the gaze distance time for the given term as follows. First gaze distance time: When classified as a first icon on the first operation screen The value obtained by multiplying the gaze path distance by the gaze duration. Second gaze distance time: When classified as the second icon on the first operation screen The value obtained by multiplying the gaze path distance by the gaze duration. Third gaze distance time: When classified as the third icon on the second operation screen The value obtained by multiplying the gaze path distance by the gaze duration. Fourth gaze distance time: When classified as the fourth icon on the second operation screen The value obtained by multiplying the gaze path distance by the gaze duration.

[0080] [Latent cognitive characteristic determination unit 142] When a user classifies a "deliberative term," if the first gaze distance time is smaller than the fourth gaze distance time, the latent cognitive characteristic determination unit 142 determines the latent cognitive characteristic to be "deliberative," and otherwise determines it to be "intuitive." 1st gaze distance time < 4th gaze distance time: Deliberative First gaze distance time ≥ fourth gaze distance time: intuitive On the other hand, when the user classifies an "intuitive term," if the third gaze distance time is smaller than the second gaze distance time, the latent cognitive characteristic determination unit 142 determines the latent cognitive characteristic to be "intuitive," and otherwise determines it to be "deliberative." Third gaze distance time < Second gaze distance time : intuitive Third gaze distance time ≥ Second gaze distance time: Deliberative The determined latent cognitive trait is output to the decision-making trait determination unit 143 .

[0081] FIG. 7 is a first example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention.

[0082] According to FIG. 7, on the first operation screen, the user classifies the term "consider" (classified as "deliberative" in the preliminary operation) into the first icon (good and deliberative) with a first gaze distance time. Furthermore, on the second operation screen, the user classifies the term "consider" (classified as "deliberative" in the preliminary operation) into the fourth icon (bad and deliberative) with a fourth gaze distance time. At this time, the first gaze distance time<the fourth gaze distance time, and the user is determined to have a latent cognitive characteristic of "deliberative."

[0083] FIG. 8 is a second example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention.

[0084] According to Figure 8, unlike Figure 7, on the first operation screen, the user classifies the term "Consider" (classified as "Deliberative" in the preliminary operation) into the first icon (Good and Deliberative) with a first gaze distance time. Furthermore, on the second operation screen, the user classifies the term "consider" (classified as "deliberative" in the preliminary operation) into the fourth icon (bad and deliberative) with a fourth gaze distance time. At this time, the first gaze distance time is equal to or greater than the fourth gaze distance time, and the user is determined to have an "intuitive" latent cognitive characteristic.

[0085] FIG. 9 is a third example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention.

[0086] According to FIG. 9, on the first operation screen, the user classifies the term "sixth sense" (classified as "intuitive" in the preliminary operation) into the second icon (bad and intuitive) with a second gaze distance time. Furthermore, on the second operation screen, the user classifies the term "sixth sense" (classified as "intuitive" in the preliminary operation) into the third icon (good and intuitive) with a third gaze distance time. At this time, the third gaze distance time is smaller than the second gaze distance time, and the user is determined to have an "intuitive" latent cognitive characteristic.

[0087] FIG. 10 is a fourth example showing the display screen of the first operation screen display unit and the second operation screen display unit in the determination device of the present invention.

[0088] According to Figure 10, unlike Figure 9, on the first operation screen, the user classifies the term "sixth sense" (classified as "intuitive" in the preliminary operation) into the second icon (bad and intuitive) at a second gaze distance time. Furthermore, on the second operation screen, the user classifies the term "sixth sense" (classified as "intuitive" in the preliminary operation) into the third icon (good and intuitive) with a third gaze distance time. At this time, the third gaze distance time is equal to or greater than the second gaze distance time, and the user is determined to have a latent cognitive characteristic of "deliberative."

[0089] [Decision-making characteristics determination unit 143] The decision-making characteristic determination unit 143 determines whether the decision-making characteristic is "risk preference" or "risk aversion" by taking into consideration the implicit cognitive characteristic in addition to the explicit cognitive characteristic. The determined decision-making characteristics are output to the user attribute storage unit 101 and stored as attributes for each user.

[0090] FIG. 11 is an explanatory diagram of the determination method of the decision-making characteristic determination unit in the determination device of the present invention.

[0091] According to FIG. 11, the decision-making characteristic determination unit 143 differs depending on the combination of the explicit cognitive characteristic determination unit 141 and the implicit cognitive characteristic determination unit 142. <First judgment method> When explicit cognitive traits are expressed as two values, intuitive and deliberative, decision-making traits are determined as follows, corresponding to the two values ​​of implicit cognitive traits, intuitive and deliberative. (Explicit cognitive traits) (Latent cognitive traits) (Decision-making traits: trait level) Intuitive Intuitive Risk Appetite Intuitive Deliberative Somewhat risk-seeking Deliberative Intuitive Somewhat risk-averse Deliberative Deliberative Risk-averse

[0092] <Second judgment method> The explicit cognitive characteristics are expressed as a degree of characteristic between intuitive and deliberative. The larger the difference between the primary and secondary gaze times, the stronger the degree of "intuitive" characteristic, and conversely, the smaller the difference, the stronger the degree of "deliberative" characteristic. (Explicit cognitive traits) (Latent cognitive traits) (Decision-making traits: trait level) Intuitive Intuitive Risk Appetite Intuitive Deliberative Somewhat risk-seeking Somewhat intuitive Somewhat risk-loving Somewhat Deliberative Intuitive Somewhat Risk-Taking Somewhat intuitive Somewhat deliberate Somewhat risk averse Somewhat deliberative Somewhat risk averse Deliberative Intuitive Somewhat risk-averse Deliberative Deliberative Risk-averse

[0093] This allows the user attribute storage unit 101 to store the "latent cognitive characteristics" and / or "decision-making characteristics" as attributes for each user.

[0094] In addition, when the explicit cognitive characteristic is determined as a characteristic degree between intuitive and deliberative, as in the second determination method, the decision-making characteristic determination unit 143 may weight the implicit cognitive characteristic to the explicit cognitive characteristic to estimate the characteristic degree of the decision-making characteristic.

[0095] FIG. 12 is a functional configuration diagram of a determination device for determining a latent cognitive trait in the present invention.

[0096] According to Fig. 12, the determination device 1 can determine only the implicit cognitive traits without determining the explicit cognitive traits or decision-making traits, unlike Fig. 5. The processing contents of each functional configuration unit are exactly the same as those in Fig. 5.

[0097] FIG. 13 is a functional configuration diagram of a determination device for determining decision-making characteristics from overt cognitive characteristics in the present invention.

[0098] 13, a decision-making characteristic determination unit 143 is added to the configuration of FIG. 2. The decision-making characteristic determination unit 143 determines the decision-making characteristic in accordance with the explicit cognitive characteristic output from the explicit cognitive characteristic determination unit 141. This allows the user attribute storage unit 101 to store "decision-making characteristics" as attributes for each user.

[0099] Specifically, when the explicit cognitive characteristic determination unit 141 outputs the explicit cognitive characteristic as two values, “intuitive” or “deliberative,” the decision-making characteristic determination unit 143 outputs the decision-making characteristic as two values, “risk preference” or “risk aversion,” as follows: If the explicit cognitive trait is "intuitive," the decision-making trait is "risk preference." If the explicit cognitive trait is "deliberative," then the decision-making trait is "risk averse."

[0100] Furthermore, when the explicit cognitive characteristic determination unit 141 outputs the characteristic degree of the explicit cognitive characteristic ranging from “intuitive” to “deliberative,” the decision-making characteristic determination unit 143 outputs the characteristic degree of the decision-making characteristic as follows. The stronger the "intuitive" characteristic of the explicit cognitive traits, The decision-making characteristic is defined as a trait with a strong "risk preference." The stronger the "deliberative" characteristic of the explicit cognitive trait, The decision-making characteristic is defined as a trait with a strong tendency toward "risk aversion."

[0101] FIG. 14 is a functional configuration diagram of a determination device for determining decision-making characteristics from latent cognitive characteristics in the present invention.

[0102] 14, a decision-making characteristic determination unit 143 is added to the configuration of FIG. 12. The decision-making characteristic determination unit 143 determines a decision-making characteristic in accordance with the latent cognitive characteristic output from the latent cognitive characteristic determination unit 142. This allows the user attribute storage unit 101 to store "decision-making characteristics" as attributes for each user.

[0103] Specifically, since the latent cognitive characteristic determination unit 142 outputs the latent cognitive characteristic as two values, “intuitive” or “deliberative,” the decision-making characteristic determination unit 143 outputs the decision-making characteristic as two values, “risk preference” or “risk aversion,” as follows. If the latent cognitive trait is "intuitive," the decision-making trait is "risk preference." If the latent cognitive trait is "deliberative," then the decision-making trait is "risk averse."

[0104] As described above in detail, the determination device, program, and method of the present invention can determine the cognitive characteristics of a user with relatively high accuracy.

[0105] Furthermore, this will enable, for example, "to determine the user's cognitive characteristics," which will contribute to Goal 3 of the United Nations-led Sustainable Development Goals (SDGs), which is to "Ensure healthy lives and promote well-being for all at all ages."

[0106] Based on the various embodiments of the present invention described above, those skilled in the art can easily make various changes, modifications, and omissions within the scope of the technical spirit and scope of the present invention. The above description is for illustrative purposes only and is not intended to be limiting in any way. The present invention is limited only by the claims and their equivalents. [Explanation of symbols]

[0107] 1 Judgment device 101 User attribute storage unit 102 Intervention Information Storage Department 103 Terminology Storage Unit 11 Test image display section 12 Gaze trajectory acquisition unit 13 Gaze time detection unit 141 Explicit Cognitive Characteristics Assessment Unit 142 Latent cognitive characteristics determination unit 143 Decision-making characteristics determination unit 15. Intervention information transmission unit 16 Term Selection Section 171 first operation screen display unit 172 second operation screen display unit 181 First auxiliary operation screen display unit 182 Second auxiliary operation screen display unit 19. Gaze distance and time calculation unit 2 Display device 3. Eye-tracking device 4. Mobile devices< / url:>

Claims

1. A determination device that determines cognitive characteristics from a user's gaze movement, a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; an explicit cognitive characteristic determination means for determining the explicit cognitive characteristic by determining "intuitive" when the difference between the primary gaze time and the secondary gaze time is equal to or greater than a predetermined threshold, and determining "deliberative" when the difference is less than the predetermined threshold; A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; A determination device comprising:

2. The gaze time detection means sets one or more arbitrary coordinate points in the test image, and defines the area from the coordinate points up to a predetermined distance as a main area, and the area other than the main area as a sub-area.

2. The determination device according to claim 1, further comprising:

3. A decision-making characteristic assessment method in which, if the explicit cognitive characteristic is "intuitive," the decision-making characteristic is "risk preference," and, if the explicit cognitive characteristic is "deliberative," the decision-making characteristic is "risk aversion." and The user attribute storage means stores decision-making characteristics as attributes for each user.

2. The determination device according to claim 1.

4. In order to send behavioral change intervention information to the user in normal situations, an intervention information storage means for storing different intervention information according to the explicit cognitive characteristics; an intervention information transmission means for transmitting different intervention information for each user using the intervention information storage means; 2. The determination device according to claim 1, further comprising:

5. A determination device that determines cognitive characteristics from a user's gaze movement, a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; an explicit cognitive characteristic determination means for determining the explicit cognitive characteristic such that the larger the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "intuitive" and the smaller the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "deliberative"; A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; A determination device comprising:

6. The device further comprises a decision-making characteristic assessment means for assessing whether the stronger the characteristic level of the explicit cognitive characteristic is "intuitive," the stronger the characteristic level of the decision-making characteristic is "risk preference," and whether the stronger the characteristic level of the explicit cognitive characteristic is "deliberative," the stronger the characteristic level of the decision-making characteristic is "risk aversion," The user attribute storage means stores decision-making characteristics as attributes for each user.

6. The determination device according to claim 5.

7. In order to send behavioral change intervention information to the user in normal situations, an intervention information storage means for storing different intervention information according to the explicit cognitive characteristics; an intervention information transmission means for transmitting different intervention information for each user using the intervention information storage means; 6. The determination device according to claim 5, further comprising:

8. A program that causes a computer to function so as to determine cognitive characteristics from a user's eye movement, a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; an explicit cognitive characteristic determination means for determining the explicit cognitive characteristic by determining "intuitive" when the difference between the primary gaze time and the secondary gaze time is equal to or greater than a predetermined threshold, and determining "deliberative" when the difference is less than the predetermined threshold; A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; A program that causes a computer to function.

9. A program that causes a computer to function so as to determine cognitive characteristics from a user's eye movement, a test screen display means for displaying a test image including a main region and other sub-regions to a user; a gaze trajectory acquisition means for acquiring a gaze trajectory of a user with respect to a test image; a gaze time detection means for detecting a main gaze time for gazing at the main region and a secondary gaze time for gazing at the secondary region from the gaze trajectory; an explicit cognitive characteristic determination means for determining the explicit cognitive characteristic such that the larger the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "intuitive" and the smaller the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "deliberative"; A user attribute storage means for storing explicit cognitive characteristics as attributes for each user; A program that causes a computer to function.

10. A method for determining cognitive characteristics of a device based on gaze movement of a user, comprising: The device is a first step of displaying a test image to a user, the test image including a primary region and other secondary regions; a second step of acquiring a user's gaze trajectory on the test image; a third step of detecting a main gaze time during which the user gazes at the main region and a secondary gaze time during which the user gazes at the secondary region from the gaze trajectory; a fourth step of determining the overt cognitive traits, in which the difference between the primary gaze time and the secondary gaze time is equal to or greater than a predetermined threshold and the difference is determined to be "intuitive," and in which the difference is smaller than the predetermined threshold and the difference is determined to be "deliberative." The fifth step is to accumulate explicit cognitive characteristics as attributes for each user. A determination method characterized by executing the above.

11. A method for determining cognitive characteristics of a device based on gaze movement of a user, comprising: The device is a first step of displaying a test image to a user, the test image including a primary region and other secondary regions; a second step of acquiring a user's gaze trajectory on the test image; a third step of detecting a main gaze time during which the user gazes at the main region and a secondary gaze time during which the user gazes at the secondary region from the gaze trajectory; a fourth step of determining the overt cognitive traits, in which the larger the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "intuitiveness," and the smaller the difference between the primary gaze time and the secondary gaze time, the stronger the characteristic degree of "deliberativeness." The fifth step is to accumulate explicit cognitive characteristics as attributes for each user. A determination method characterized by executing the above.

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