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Article

Visual Evaluation Strategies in Art Image Viewing: An Eye-Tracking Comparison of Art-Educated and Non-Art Participants

by
Adem Korkmaz
1,*,
Sevinc Gülsecen
2 and
Grigor Mihaylov
3
1
Department of Computer Technologies, Gonen Vocational School, Bandirma Onyedi Eylul University, Bandirma 10200, Türkiye
2
Department of Computer Science, Istanbul University, Istanbul 34134, Türkiye
3
Department of Telecommunications, University of Telecommunications and Post, 1700 Sofia, Bulgaria
*
Author to whom correspondence should be addressed.
J. Eye Mov. Res. 2026, 19(1), 14; https://doi.org/10.3390/jemr19010014
Submission received: 19 December 2025 / Revised: 23 January 2026 / Accepted: 27 January 2026 / Published: 30 January 2026

Abstract

Understanding how tacit knowledge embedded in visual materials is accessed and utilized during evaluation tasks remains a key challenge in human–computer interaction and visual expertise research. Although eye-tracking studies have identified systematic differences between experts and novices, findings remain inconsistent, particularly in art-related visual evaluation contexts. This study examines whether tacit aspects of visual evaluation can be inferred from gaze behavior by comparing individuals with and without formal art education. Visual evaluation was assessed using a structured, prompt-based task in which participants inspected artistic images and responded to items targeting specific visual elements. Eye movements were recorded using a screen-based eye-tracking system. Areas of Interest (AOIs) corresponding to correct-answer regions were defined a priori based on expert judgment and item prompts. Both AOI-level metrics (e.g., fixation count, mean, and total visit and gaze durations) and image-level metrics (e.g., fixation count, saccade count, and pupil size) were analyzed using appropriate parametric and non-parametric statistical tests. The results showed that participants with an art-education background produced more fixations within AOIs, exhibited longer mean and total AOI visit and gaze durations, and demonstrated lower saccade counts than participants without art education. These patterns indicate more systematic and goal-directed gaze behavior during visual evaluation, suggesting that formal art education may shape tacit visual evaluation strategies. The findings also highlight the potential of eye tracking as a methodological tool for studying expertise-related differences in visual evaluation processes.
Keywords: tacit knowledge; human–computer interaction; screen-based eye tracking; visual perception; attention and cognition; eye tracking in education; digital assessment tacit knowledge; human–computer interaction; screen-based eye tracking; visual perception; attention and cognition; eye tracking in education; digital assessment

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MDPI and ACS Style

Korkmaz, A.; Gülsecen, S.; Mihaylov, G. Visual Evaluation Strategies in Art Image Viewing: An Eye-Tracking Comparison of Art-Educated and Non-Art Participants. J. Eye Mov. Res. 2026, 19, 14. https://doi.org/10.3390/jemr19010014

AMA Style

Korkmaz A, Gülsecen S, Mihaylov G. Visual Evaluation Strategies in Art Image Viewing: An Eye-Tracking Comparison of Art-Educated and Non-Art Participants. Journal of Eye Movement Research. 2026; 19(1):14. https://doi.org/10.3390/jemr19010014

Chicago/Turabian Style

Korkmaz, Adem, Sevinc Gülsecen, and Grigor Mihaylov. 2026. "Visual Evaluation Strategies in Art Image Viewing: An Eye-Tracking Comparison of Art-Educated and Non-Art Participants" Journal of Eye Movement Research 19, no. 1: 14. https://doi.org/10.3390/jemr19010014

APA Style

Korkmaz, A., Gülsecen, S., & Mihaylov, G. (2026). Visual Evaluation Strategies in Art Image Viewing: An Eye-Tracking Comparison of Art-Educated and Non-Art Participants. Journal of Eye Movement Research, 19(1), 14. https://doi.org/10.3390/jemr19010014

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