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扫视流基线:解释注视行为中与图像无关的偏差。

The saccadic flow baseline: Accounting for image-independent biases in fixation behavior.

作者信息

Clarke Alasdair D F, Stainer Matthew J, Tatler Benjamin W, Hunt Amelia R

机构信息

Department of Psychology, University of Essex, Colchester, UK.

School of Psychology, University of Aberdeen, Aberdeen, UK.

出版信息

J Vis. 2017 Sep 1;17(11):12. doi: 10.1167/17.11.12.

Abstract

Much effort has been made to explain eye guidance during natural scene viewing. However, a substantial component of fixation placement appears to be a set of consistent biases in eye movement behavior. We introduce the concept of saccadic flow, a generalization of the central bias that describes the image-independent conditional probability of making a saccade to (xi+1, yi+1), given a fixation at (xi, yi). We suggest that saccadic flow can be a useful prior when carrying out analyses of fixation locations, and can be used as a submodule in models of eye movements during scene viewing. We demonstrate the utility of this idea by presenting bias-weighted gaze landscapes, and show that there is a link between the likelihood of a saccade under the flow model, and the salience of the following fixation. We also present a minor improvement to our central bias model (based on using a multivariate truncated Gaussian), and investigate the leftwards and coarse-to-fine biases in scene viewing.

摘要

人们已经付出了很多努力来解释自然场景观看过程中的眼睛引导。然而,注视点放置的一个重要组成部分似乎是眼动行为中的一组一致偏差。我们引入了扫视流的概念,它是中心偏差的一种推广,描述了在给定注视点(xi, yi)的情况下,扫视到(xi+1, yi+1)的与图像无关的条件概率。我们认为,扫视流在进行注视点位置分析时可以作为一个有用的先验信息,并且可以用作场景观看过程中眼动模型的一个子模块。我们通过呈现偏差加权的注视点分布图来证明这一想法的实用性,并表明在流模型下扫视的可能性与后续注视点的显著性之间存在联系。我们还对我们的中心偏差模型进行了一个小改进(基于使用多元截断高斯分布),并研究了场景观看中的向左偏差和从粗到细的偏差。

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