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Tallon, Miles ; Greenlee, Mark W. ; Wagner, Ernst ; Rakoczy, Katrin ; Frick, Ulrich

How Do Art Skills Influence Visual Search? – Eye Movements Analyzed With Hidden Markov Models

Article

Tallon, Miles, Greenlee, Mark W. , Wagner, Ernst, Rakoczy, Katrin and Frick, Ulrich (2021) How Do Art Skills Influence Visual Search? – Eye Movements Analyzed With Hidden Markov Models. Frontiers in Psychology 12 (594248), pp. 1-17.

DOI to cite this document: 10.5283/epub.45087


Abstract

The results of two experiments are analyzed to find out how artistic expertise influences visual search. Experiment I comprised survey data of 1,065 students on self-reported visual memory skills and their ability to find three targets in four images of artwork. Experiment II comprised eye movement data of 50 Visual Literacy (VL) experts and non-experts whose eye movements during visual search ...

The results of two experiments are analyzed to find out how artistic expertise influences visual search. Experiment I comprised survey data of 1,065 students on self-reported visual memory skills and their ability to find three targets in four images of artwork. Experiment II comprised eye movement data of 50 Visual Literacy (VL) experts and non-experts whose eye movements during visual search were analyzed for nine images of artwork as an external validation of the assessment tasks performed in Sample I. No time constraint was set for completion of the visual search task. A latent profile analysis revealed four typical solution patterns for the students in Sample I, including a mainstream group, a group that completes easy images fast and difficult images slowly, a fast and erroneous group, and a slow working student group, depending on task completion time and on the probability of finding all three targets. Eidetic memory, performance in art education and visual imagination as self-reported visual skills have significant impact on latent class membership probability. We present a hidden Markov model (HMM) approach to uncover underlying regions of attraction that result from visual search eye-movement behavior in Experiment II. VL experts and non-experts did not significantly differ in task time and number of targets found but they did differ in their visual search process: compared to non-experts, experts showed greater precision in fixating specific prime and target regions, assessed through hidden state fixation overlap. Exploratory analysis of HMMs revealed differences between experts and non-experts in image locations of attraction (HMM states). Experts seem to focus their attention on smaller image parts whereas non-experts used wider parts of the image during their search. Differences between experts and non-experts depend on the relative saliency of targets embedded in images. HMMs can determine the effect of expertise on exploratory eye movements executed during visual search tasks. Further research on HMMs and art expertise is required to confirm exploratory results.



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Details

Item typeArticle
Journal or Publication TitleFrontiers in Psychology
PublisherFrontiers
Open Access TypeGold (with APC)
Place of PublicationLAUSANNE
Volume12
Number of Issue or Book Chapter594248
Page Rangepp. 1-17
Date28 January 2021
Date of publication11 Mar 2021 10:21
InstitutionsHuman Sciences > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee
Human Sciences > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee
Identification Number
ValueType
10.3389/fpsyg.2021.594248DOI
Keywordsvisual literacy; assessment; fixation sequence; hidden markov model; eye tracking data; visual search task; latent profile analysis
Dewey Decimal Classification100 Philosophy & psychology > 150 Psychology
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-450875
Item ID45087

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