Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation

Yesiltepe, Demet, Ozbil Torun, Ayse, Coutrot, Antoine, Hornberger, Michael, Spiers, Hugo and Conroy Dalton, Ruth (2020) Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation. Spatial Cognition and Computation. ISSN 1542-7633 (In Press)

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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, saliency, object recognition, spatial knowledge, virtual environments
Subjects: G400 Computer Science
K100 Architecture
K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Depositing User: Rachel Branson
Date Deposited: 07 Oct 2020 10:35
Last Modified: 07 Oct 2020 10:45
URI: http://nrl.northumbria.ac.uk/id/eprint/44439

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