| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | GeoGCD: improved visual search via gaze-contingent display |
| Autor/-in: | Bektaş, Kenan Çöltekin, Arzu Krüger, Jens Duchowski, Andrew T. Fabrikant, Sara Irina |
| et. al: | No |
| DOI: | 10.1145/3317959.3321488 |
| Tagungsband: | Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications |
| Angaben zur Konferenz: | ACM Symposium on Eye Tracking Research & Applications (ETRA), Denver, Colorado, 25-28 June 2019 |
| Erscheinungsdatum: | 25-Jun-2019 |
| Verlag / Hrsg. Institution: | Association for Computing Machinery |
| Verlag / Hrsg. Institution: | New York |
| ISBN: | 978-1-4503-6709-7 |
| Sprache: | Englisch |
| Schlagwörter: | Gaze-Contingent Display; Foveation; Contrast; Color; Depth perception; Depth-of-field simulation; Visual crowding; Visual search |
| Fachgebiet (DDC): | 620: Ingenieurwesen |
| Zusammenfassung: | 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/18785 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Zentrum für Aviatik (ZAV) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
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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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