Home > Research > Publications & Outputs > Computer models of saliency alone fail to predi...

Electronic data

  • SCC_August_2020

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Spatial Cognition and Computation on 12/10/2020, available online: https://www.tandfonline.com/doi/full/10.1080/13875868.2020.1830993

    Accepted author manuscript, 1.57 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
Close
<mark>Journal publication date</mark>1/03/2021
<mark>Journal</mark>Spatial Cognition and Computation
Issue number1
Volume21
Publication StatusPublished
Early online date12/10/20
<mark>Original language</mark>English

Abstract

In this study, it was 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 being navigated, current automated
models of saliency fail to predict subjective reports of visual attention to
landmarks.

Bibliographic note

This is an Accepted Manuscript of an article published by Taylor & Francis in Spatial Cognition and Computation on 12/10/2020, available online: https://www.tandfonline.com/doi/full/10.1080/13875868.2020.1830993