Publication type: Conference paper
Type of review: Peer review (publication)
Title: GeoGCD: improved visual search via gaze-contingent display
Authors : Bektaş, Kenan
Çöltekin, Arzu
Krüger, Jens
Duchowski, Andrew T.
Fabrikant, Sara Irina
et. al : No
DOI : 10.1145/3317959.3321488
Proceedings: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
Conference details: ACM Symposium on Eye Tracking Research & Applications (ETRA), Denver, Colorado, 25-28 June 2019
Issue Date: 25-Jun-2019
Publisher / Ed. Institution : ACM
Publisher / Ed. Institution: New York
ISBN: 978-1-4503-6709-7
Language : English
Subjects : Gaze-Contingent Display; Foveation; Contrast; Color; Depth perception; Depth-of-field simulation; Visual crowding; Visual search
Subject (DDC) : 620: Engineering
Abstract: Gaze-Contingent Displays (GCDs) can improve visual search performance on large displays. GCDs, a Level Of Detail (LOD) management technique, discards redundant peripheral detail using various human visual perception models. Models of depth and contrast perception (e.g., depth-of-field and foveation) have often been studied to address the trade-off between the computational and perceptual benefits of GCDs. However, color perception models and combinations of multiple models have not received as much attention. In this paper, we present GeoGCD which uses individual contrast, color, and depth-perception models, and their combination to render scenes without perceptible latency. As proof-of-concept, we present a three-stage user evaluation built upon geographic image interpretation tasks. GeoGCD does not impair users' visual search performance or affect their display preferences. On the contrary, in some cases, it can significantly improve users' performance.
Fulltext version : Published version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Centre for Aviation (ZAV)
Appears in Collections:Publikationen School of Engineering

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