|Publication type:||Conference paper|
|Type of review:||Peer review (publication)|
|Title:||GeoGCD: improved visual search via gaze-contingent display|
|Authors :||Bektaş, Kenan|
Duchowski, Andrew T.
Fabrikant, Sara Irina
|et. al :||No|
|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|
|Publisher / Ed. Institution :||ACM|
|Publisher / Ed. Institution:||New York|
|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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