지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.10
- 수록면
- 487 - 500 (14page)
- DOI
- 10.5143/JESK.2020.39.5.487
이용수
초록· 키워드
오류제보하기
Objective: The purpose of this study is to find out the possibility of using eye movement entropy for the emotional satisfaction evaluation of design.
Background: Emotion is often considered important in product design. Emotion, however, is very comprehensive and difficult to express clearly, so there have been attempts to analyze it through eye tracking. Most researchers used basic eye tracking metrics such as eye fixation time, time to first fixation, the number of eye fixation, and the change of pupil size to evaluate emotion. Basic metrics are effective in analyzing the importance of each design element but difficulties arise when analyzing the overall aspects of the design. In order to assess user"s emotion about design, it is necessary to present eye movement as a single metric. Therefore, we suggest the possibility of using the eye movement entropy.
Method: A literature study was conducted to determine how to obtain entropies from eye movement. In addition, an experiment was conducted to identify the relationship between emotional satisfaction and eye movement entropy. For the experiment, the front design images of three car models were used as experimental stimuli. Eight college students participated in the experiment and Tobii Glasses 2 was used to record eye movement while looking at car images. Car images were presented on the 65-inch TV screen. Subjects evaluated how much emotionally satisfied to the car design on a five-point scale at the end of each image presentation.
Results: In the analysis of emotional satisfaction for car designs, it showed that a significant difference exist between car R and H. Therefore, eye movement entropies; Shannon entropy, Markov entropy, dwell time entropy, and heatmap entropy for R and H were calculated and analyzed. In the analysis of entropies for R and H, all entropies showed the average of the high entropy in the design model with highly emotional satisfaction. However, the means of Shannon, Morkov, dwell time entropy showed no significant difference between R and H, and heatmap entropy showed a significant difference. In the correlation analysis, there was no significant correlation between the emotional satisfaction and the Shannon, Markov and dwell time entropy, but there was a positive correlation (p=0.552) with the heatmap entropy.
Conclusion: This study was carried out to know if the eye movement entropy can be used for the emotional satisfaction evaluation of design. The entropies derived from the gazeplot and heatmap of the eye movement showed a meaningful relationship with the emotional satisfaction, especially the heatmap entropy showed stronger correlation with the emotional satisfaction. Eye movement entropies were higher in the design with high emotional satisfaction, which means that the higher the emotion satisfaction level, the more the subject"s eye movement. From the results, it can be seen that eye movement entropy can be used as a meaningful physiological measure for evaluating the emotional satisfaction of a design, especially the heatmap entropy can be used as the most appropriate entropy measure.
Application: The results of this study could be used as a guide to the use of eye tracking for the emotional satisfaction evaluation of design.
Background: Emotion is often considered important in product design. Emotion, however, is very comprehensive and difficult to express clearly, so there have been attempts to analyze it through eye tracking. Most researchers used basic eye tracking metrics such as eye fixation time, time to first fixation, the number of eye fixation, and the change of pupil size to evaluate emotion. Basic metrics are effective in analyzing the importance of each design element but difficulties arise when analyzing the overall aspects of the design. In order to assess user"s emotion about design, it is necessary to present eye movement as a single metric. Therefore, we suggest the possibility of using the eye movement entropy.
Method: A literature study was conducted to determine how to obtain entropies from eye movement. In addition, an experiment was conducted to identify the relationship between emotional satisfaction and eye movement entropy. For the experiment, the front design images of three car models were used as experimental stimuli. Eight college students participated in the experiment and Tobii Glasses 2 was used to record eye movement while looking at car images. Car images were presented on the 65-inch TV screen. Subjects evaluated how much emotionally satisfied to the car design on a five-point scale at the end of each image presentation.
Results: In the analysis of emotional satisfaction for car designs, it showed that a significant difference exist between car R and H. Therefore, eye movement entropies; Shannon entropy, Markov entropy, dwell time entropy, and heatmap entropy for R and H were calculated and analyzed. In the analysis of entropies for R and H, all entropies showed the average of the high entropy in the design model with highly emotional satisfaction. However, the means of Shannon, Morkov, dwell time entropy showed no significant difference between R and H, and heatmap entropy showed a significant difference. In the correlation analysis, there was no significant correlation between the emotional satisfaction and the Shannon, Markov and dwell time entropy, but there was a positive correlation (p=0.552) with the heatmap entropy.
Conclusion: This study was carried out to know if the eye movement entropy can be used for the emotional satisfaction evaluation of design. The entropies derived from the gazeplot and heatmap of the eye movement showed a meaningful relationship with the emotional satisfaction, especially the heatmap entropy showed stronger correlation with the emotional satisfaction. Eye movement entropies were higher in the design with high emotional satisfaction, which means that the higher the emotion satisfaction level, the more the subject"s eye movement. From the results, it can be seen that eye movement entropy can be used as a meaningful physiological measure for evaluating the emotional satisfaction of a design, especially the heatmap entropy can be used as the most appropriate entropy measure.
Application: The results of this study could be used as a guide to the use of eye tracking for the emotional satisfaction evaluation of design.
목차
1. Introduction
2. Literature Survey
3. Entropies in Eye Movements
4. Experiment and Data Collection
5. Analysis
6. Conclusion and Discussion
References
참고문헌 (27)
참고문헌 신청
Ahn, S. Y. / 2014 / A study on features of space through sensibility estimation and eye-tracking - Focus on Premium Supermakets :125~128
Ahn, S. / 2016 / Visual attention analysis on stereoscopic images for subjective discomfort evaluation / 2016IEEE International Conference on Multimedia and Expo (ICME) :1~6
Alzubaidi, M. / 2010 / Reading a radiologist's mind: monitoring rising and falling interest levels while scanning chest x-rays / Proceedings of Medical Imaging 2010, Society of Photo-Optical, Instrumentation Engineers
Bhavsar, P. / 2017 / Quantifying situation awareness of control room operators using eye-gaze behavior / Computers & Chemical Engineering 106(2):191~201
Chanijani, S. M. / 2016 / Entropy based transition analysis of eye movement on physics representational competence / Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing :1027~1034
Ahn, S. / 2016 / Visual attention analysis on stereoscopic images for subjective discomfort evaluation / 2016IEEE International Conference on Multimedia and Expo (ICME) :1~6
Alzubaidi, M. / 2010 / Reading a radiologist's mind: monitoring rising and falling interest levels while scanning chest x-rays / Proceedings of Medical Imaging 2010, Society of Photo-Optical, Instrumentation Engineers
Bhavsar, P. / 2017 / Quantifying situation awareness of control room operators using eye-gaze behavior / Computers & Chemical Engineering 106(2):191~201
Chanijani, S. M. / 2016 / Entropy based transition analysis of eye movement on physics representational competence / Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing :1027~1034
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