Literature DB >> 28364341

The role of stimulus predictability in the allocation of attentional resources: an eye-tracking study.

Magdalena Król1, Magdalena Kilan-Banach2, Renata Strzelecka2.   

Abstract

By allocating less attention to predictable events we are able to focus on novel, unpredictable and unexpected events that require more extensive processing. This strategy should result in improved performance by optimizing the use of brain's limited resources. Participants' task was to look at two types of stimuli presented simultaneously at the opposite sides of a computer screen: "static" stimuli, i.e. emotionally neutral photographs; and "dynamic" stimuli, i.e. video clips presenting a moving dot. The dot moved along a predictable, semi-predictable or random trajectory. This was followed by a memory test of the static stimuli. Participants spent more time looking at the dynamic stimuli when its trajectory was less predictable. Additionally, participants who readily adjusted their dwell time allocation to the dot trajectory performed better in the memory test, as demonstrated by a positive correlation between memory test sensitivity and the rate of eye movement patterns adjustment to stimulus predictability. This suggests that people adjust gaze duration to stimulus predictability and that doing so optimizes attentional resource allocation and improves performance. However, study design did not allow to distinguish between spatial and temporal predictability, so it is impossible to estimate the impact of each type of predictability specifically.

Entities:  

Keywords:  Eye tracking; Prediction; Top down; Visual attention

Mesh:

Year:  2017        PMID: 28364341     DOI: 10.1007/s10339-017-0806-9

Source DB:  PubMed          Journal:  Cogn Process        ISSN: 1612-4782


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  1 in total

1.  The trickle-down effect of predictability: Secondary task performance benefits from predictability in the primary task.

Authors:  Magdalena Ewa Król; Michał Król
Journal:  PLoS One       Date:  2017-07-10       Impact factor: 3.240

  1 in total

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