EN
USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS
Abstract
Evaluation of visual elements constitutes a significantly important input in the field of design as well as in numerous other fields. We are on the verge of a transformation where users generally meet the product on a screen, also with the influence of changing lifestyle habits. Within this scope, the time users spend with visual elements and collection of information about the said process constitute an important topic of research. This study focused on the evaluation of images via eye tracking technology. Variables such as the repetition, number, order and layout of the elements that form an image are known to have an effect on the use of images. This experimental study was conducted in 3 different steps with the users and the obtained results were provided here. In this context, application recommendations were provided concerning the order of visual pages, properties of transition between images, time factor and content layout.
Keywords
Thanks
Ethics committee approval was obtained for the study. We would like to thank all participants of the experiments and the METU HCI laboratory and its team for providing the suitability of the experimental setting and eye trackers.
References
- Albert, W. ve Tedesco, D. (2010). Reliability of self-reported awareness measures based on eye tracking. Journal of Usability Studies, 5 (2), 50–64.
- Bergstrom, J. R. ve Schall, A. J. (2014). Eye Tracking in User Experience Design. San Francisco: Morgan Kaufmann Publishers Inc.
- Buswell, G. T. (1935). How People Look at Pictures. Chicago, IL: University of Chicago Press.
- Crilly, N., Moultrie, J., & Clarkson, P. J. (2004). Seeing things: Consumer response to the visual domain in product design. Design Studies, 25 (2004), 547-577.
- Cross, N. (1999). Natural intellligence in design. Design Studies, 20 (1), 25-39.
- Du, P. (2016). Investigating Effects of Product Visual Designs on Consumer Judgments with the Aid of Eyetracking (Doktora tezi). ProQuest.(Erişim numarası. 10126545)
- Guiping, C., Axu, H., Yonghong, L. & Hongzhi, Y. (2011). Review of linguistics understanding based on eye tracking system. Journal of Northwest University for Nationalities (Natural Science), 32(2), 49-55.
- Guo, F., Li, M., Hu, M., Li, F., & Lin, B. (2019). Distinguishing and quantifying the visual aesthetics of a product: An integrated approach of eye-tracking and EEG. International Journal of Industrial Ergonomics, 71 (2019), 47-56.
Details
Primary Language
English
Subjects
Architecture
Journal Section
Research Article
Publication Date
December 28, 2020
Submission Date
October 9, 2020
Acceptance Date
November 23, 2020
Published in Issue
Year 2020 Volume: 8 Number: 4
APA
İlhan, E., & Togay, A. (2020). USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS. Gazi University Journal of Science Part B: Art Humanities Design and Planning, 8(4), 709-719. https://izlik.org/JA89ZS39ZX
AMA
1.İlhan E, Togay A. USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS. GUJSPB. 2020;8(4):709-719. https://izlik.org/JA89ZS39ZX
Chicago
İlhan, Ezgi, and Abdullah Togay. 2020. “USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS”. Gazi University Journal of Science Part B: Art Humanities Design and Planning 8 (4): 709-19. https://izlik.org/JA89ZS39ZX.
EndNote
İlhan E, Togay A (December 1, 2020) USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS. Gazi University Journal of Science Part B: Art Humanities Design and Planning 8 4 709–719.
IEEE
[1]E. İlhan and A. Togay, “USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS”, GUJSPB, vol. 8, no. 4, pp. 709–719, Dec. 2020, [Online]. Available: https://izlik.org/JA89ZS39ZX
ISNAD
İlhan, Ezgi - Togay, Abdullah. “USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS”. Gazi University Journal of Science Part B: Art Humanities Design and Planning 8/4 (December 1, 2020): 709-719. https://izlik.org/JA89ZS39ZX.
JAMA
1.İlhan E, Togay A. USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS. GUJSPB. 2020;8:709–719.
MLA
İlhan, Ezgi, and Abdullah Togay. “USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS”. Gazi University Journal of Science Part B: Art Humanities Design and Planning, vol. 8, no. 4, Dec. 2020, pp. 709-1, https://izlik.org/JA89ZS39ZX.
Vancouver
1.Ezgi İlhan, Abdullah Togay. USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS. GUJSPB [Internet]. 2020 Dec. 1;8(4):709-1. Available from: https://izlik.org/JA89ZS39ZX