Scan patterns during real-world scene viewing predict individual differences in cognitive capacity
Scan patterns during real-world scene viewing predict individual differences in cognitive capacity
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DOI：
10.1167/17.5.23
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发表时间：
2017-05-01
影响因子：
1.8
通讯作者：
Henderson, John M.
中科院分区：
文献类型：
--
作者：
Hayes, Taylor R.;Henderson, John M.
从最早的眼动记录在积极的场景观看到今天，研究人员通常报告眼动扫描模式的个体差异在恒定的刺激和任务要求。这些研究结果表明，观众的个体差异可能是重要的理解视线控制在现场观看。然而，在场景观看期间扫描模式和观看者个体差异之间的关系仍然知之甚少，因为扫描模式难以分析。本研究使用了一种强大的技术，称为继任者表示扫描路径分析（Hayes，Petrov和Sederberg，2011年，2015年），以量化现实世界场景观看过程中扫描模式的个体差异与观看者智力，工作记忆容量和处理速度的个体差异之间的关联强度。这项分析的结果揭示了扫描模式的个体差异，这些差异解释了观众智力和工作记忆容量测量的40%以上的方差，以及处理速度测量的三分之一以上的方差。我们的研究结果的理论意义的模型的注视控制和未来的个体差异研究的途径进行了讨论。
From the earliest recordings of eye movements during active scene viewing to the present day, researchers have commonly reported individual differences in eye movement scan patterns under constant stimulus and task demands. These findings suggest viewer individual differences may be important for understanding gaze control during scene viewing. However, the relationship between scan patterns and viewer individual differences during scene viewing remains poorly understood because scan patterns are difficult to analyze. The present study uses a powerful technique called Successor Representation Scanpath Analysis (Hayes, Petrov, & Sederberg, 2011, 2015) to quantify the strength of the association between individual differences in scan patterns during real-world scene viewing and individual differences in viewer intelligence, working memory capacity, and speed of processing. The results of this analysis revealed individual differences in scan patterns that explained more than 40% of the variance in viewer intelligence and working memory capacity measures, and more than a third of the variance in speed of processing measures. The theoretical implications of our findings for models of gaze control and avenues for future individual differences research are discussed.