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

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL Spatial Cognition and Computation Pub Date : 2020-10-12 DOI:10.1080/13875868.2020.1830993
Demet Yesiltepe, A. O. Torun, A. Coutrot, M. Hornberger, H. Spiers, R. Dalton
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引用次数: 5

Abstract

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.
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计算机模型的显著性本身不能预测在观察导航过程中对地标的主观视觉注意
摘要本研究旨在了解显著性的计算机模型是否可以解释地标显著性。一项在线调查进行了,参与者被要求观看空间导航电子游戏(海上英雄任务)的视频。参与者被要求注意船只移动的环境,并对每个地标的显著性进行评分。此外,最先进的计算机显著性模型被用于客观量化地标显著性。客观显著性测量与主观显著性测量之间无显著关系。这表明,在导航时被动观察环境时,当前的显著性自动模型无法预测对地标的视觉注意的主观报告。
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来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
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