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Yesiltepe, Demet, Ozbil Torun, Ayse, Coutrot, Antoine, Hornberger, Michael 
ORCID: https://orcid.org/0000-0002-2214-3788, Spiers, Hugo and Conroy Dalton, Ruth
(2021)
Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation.
Spatial Cognition and Computation, 21 (1).
pp. 39-66.
ISSN 1387-5868
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Abstract
This study aimed to understand whether or not computer models of saliency could explain landmark saliency. An online survey was conducted and participants were asked to watch videos from a spatial navigation video game (Sea Hero Quest). Participants were asked to pay attention to the environments within which the boat was moving and to rate the perceived saliency of each landmark. In addition, state-of-the-art computer saliency models were used to objectively quantify landmark saliency. No significant relationship was found between objective and subjective saliency measures. This indicates that during passive observation of an environment while being navigated, current automated models of saliency fail to predict subjective reports of visual attention to landmarks.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | landmarks,object recognition,saliency,spatial knowledge,virtual environments,modelling and simulation,experimental and cognitive psychology,computer vision and pattern recognition,earth-surface processes,computer graphics and computer-aided design ,/dk/atira/pure/subjectarea/asjc/2600/2611 |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Norwich Institute for Healthy Aging Faculty of Medicine and Health Sciences > Research Groups > Mental Health Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 27 Oct 2020 01:08 |
| Last Modified: | 19 Oct 2023 02:48 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/77442 |
| DOI: | 10.1080/13875868.2020.1830993 |
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