Research Article

USE OF EYE TRACKING TECHNOLOGY IN EVALUATING PRODUCT IMAGES AND OPTIMAL PROCESS DECISIONS

Volume: 8 Number: 4 December 28, 2020
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

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Details

Primary Language

English

Subjects

Architecture

Journal Section

Research Article

Authors

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