1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
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dc.contributor.authorBektaş, Kenan-
dc.contributor.authorÇöltekin, Arzu-
dc.contributor.authorKrüger, Jens-
dc.contributor.authorDuchowski, Andrew T.-
dc.contributor.authorFabrikant, Sara Irina-
dc.date.accessioned2019-11-29T15:34:37Z-
dc.date.available2019-11-29T15:34:37Z-
dc.date.issued2019-06-25-
dc.identifier.isbn978-1-4503-6709-7de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18785-
dc.description.abstractGaze-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.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computing Machineryde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectGaze-Contingent Displayde_CH
dc.subjectFoveationde_CH
dc.subjectContrastde_CH
dc.subjectColorde_CH
dc.subjectDepth perceptionde_CH
dc.subjectDepth-of-field simulationde_CH
dc.subjectVisual crowdingde_CH
dc.subjectVisual searchde_CH
dc.subject.ddc620: Ingenieurwesende_CH
dc.titleGeoGCD: improved visual search via gaze-contingent displayde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitZentrum für Aviatik (ZAV)de_CH
zhaw.publisher.placeNew Yorkde_CH
dc.identifier.doi10.1145/3317959.3321488de_CH
zhaw.conference.detailsACM Symposium on Eye Tracking Research & Applications (ETRA), Denver, Colorado, 25-28 June 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 11th ACM Symposium on Eye Tracking Research & Applicationsde_CH
zhaw.webfeedHuman-Machine-Systems (ZAV)de_CH
zhaw.author.additionalNode_CH
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Bektaş, K., Çöltekin, A., Krüger, J., Duchowski, A. T., & Fabrikant, S. I. (2019, June 25). GeoGCD: improved visual search via gaze-contingent display. Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. https://doi.org/10.1145/3317959.3321488
Bektaş, K. et al. (2019) ‘GeoGCD: improved visual search via gaze-contingent display’, in Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. New York: Association for Computing Machinery. Available at: https://doi.org/10.1145/3317959.3321488.
K. Bektaş, A. Çöltekin, J. Krüger, A. T. Duchowski, and S. I. Fabrikant, “GeoGCD: improved visual search via gaze-contingent display,” in Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, Jun. 2019. doi: 10.1145/3317959.3321488.
BEKTAŞ, Kenan, Arzu ÇÖLTEKIN, Jens KRÜGER, Andrew T. DUCHOWSKI und Sara Irina FABRIKANT, 2019. GeoGCD: improved visual search via gaze-contingent display. In: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. Conference paper. New York: Association for Computing Machinery. 25 Juni 2019. ISBN 978-1-4503-6709-7
Bektaş, Kenan, Arzu Çöltekin, Jens Krüger, Andrew T. Duchowski, and Sara Irina Fabrikant. 2019. “GeoGCD: Improved Visual Search via Gaze-Contingent Display.” Conference paper. In Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. New York: Association for Computing Machinery. https://doi.org/10.1145/3317959.3321488.
Bektaş, Kenan, et al. “GeoGCD: Improved Visual Search via Gaze-Contingent Display.” Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, Association for Computing Machinery, 2019, https://doi.org/10.1145/3317959.3321488.


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