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Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation
Spatial Cognition & Computation ( IF 1.533 ) Pub Date : 2020-10-12 , DOI: 10.1080/13875868.2020.1830993
Demet Yesiltepe 1 , Ayse Ozbil Torun 1 , Antoine Coutrot 2 , Michael Hornberger 3 , Hugo Spiers 4 , Ruth Conroy Dalton 5
Affiliation  

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.



中文翻译:

仅显着性的计算机模型无法预测观察到的导航过程中对地标的主观视觉注意

抽象的

这项研究旨在了解显着性的计算机模型是否可以解释标志性的显着性。进行了在线调查,并要求参与者观看空间导航视频游戏(Sea Hero Quest)中的视频。要求参与者注意船在其中行驶的环境,并对每个标志的显着性进行评分。此外,最新的计算机显着性模型用于客观地量化地标显着性。在客观和主观显着性措施之间未发现显着关系。这表明在导航过程中对环境进行被动观察期间,当前的显着性自动化模型无法预测视觉关注地标的主观报告。

更新日期:2020-10-12
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