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GeoGCD: improved visual search via gaze-contingent display


Bektaş, Kenan; Cöltekin, Arzu; Krüger, Jens; Duchowski, Andrew T; Fabrikant, Sara I (2019). GeoGCD: improved visual search via gaze-contingent display. In: ETRA '19: 2019 Symposium on Eye Tracking Research and Applications, Denver, Colorado, 25 June 2019 - 28 June 2019, online.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:28 June 2019
Deposited On:29 Jan 2020 16:17
Last Modified:29 Jan 2020 20:30
Publisher:Association for Computing Machinery
ISBN:978-1-4503-6709-7
Additional Information:Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
OA Status:Closed
Publisher DOI:https://doi.org/10.1145/3317959.3321488

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