Literature DB >> 26037211

The persistence of the attentional bias to regularities in a changing environment.

Ru Qi Yu1, Jiaying Zhao2,3.   

Abstract

The environment often is stable, but some aspects may change over time. The challenge for the visual system is to discover and flexibly adapt to the changes. We examined how attention is shifted in the presence of changes in the underlying structure of the environment. In six experiments, observers viewed four simultaneous streams of objects while performing a visual search task. In the first half of each experiment, the stream in the structured location contained regularities, the shapes in the random location were randomized, and gray squares appeared in two neutral locations. In the second half, the stream in the structured or the random location may change. In the first half of all experiments, visual search was facilitated in the structured location, suggesting that attention was consistently biased toward regularities. In the second half, this bias persisted in the structured location when no change occurred (Experiment 1), when the regularities were removed (Experiment 2), or when new regularities embedded in the original or novel stimuli emerged in the previously random location (Experiments 3 and 6). However, visual search was numerically but no longer reliably faster in the structured location when the initial regularities were removed and new regularities were introduced in the previously random location (Experiment 4), or when novel random stimuli appeared in the random location (Experiment 5). This suggests that the attentional bias was weakened. Overall, the results demonstrate that the attentional bias to regularities was persistent but also sensitive to changes in the environment.

Keywords:  Attentional control; Primacy effect; Statistical learning; Updating; Visual search

Mesh:

Year:  2015        PMID: 26037211     DOI: 10.3758/s13414-015-0930-5

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  6 in total

1.  No Apparent Influence of Reward upon Visual Statistical Learning.

Authors:  Leeland L Rogers; Kyle G Friedman; Timothy J Vickery
Journal:  Front Psychol       Date:  2016-11-02

2.  Alternation between different types of evidence attenuates judgments of severity.

Authors:  Jennifer C Whitman; Jiaying Zhao; Rebecca M Todd
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

3.  Statistical learning leads to persistent memory: Evidence for one-year consolidation.

Authors:  Andrea Kóbor; Karolina Janacsek; Ádám Takács; Dezso Nemeth
Journal:  Sci Rep       Date:  2017-04-10       Impact factor: 4.379

Review 4.  Prior Knowledge of Object Associations Shapes Attentional Templates and Information Acquisition.

Authors:  Rachel Wu; Jiaying Zhao
Journal:  Front Psychol       Date:  2017-05-23

5.  Statistical learning of target selection and distractor suppression shape attentional priority according to different timeframes.

Authors:  Valeria Di Caro; Chiara Della Libera
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

6.  Implicit learning of temporal behavior in complex dynamic environments.

Authors:  Josh M Salet; Wouter Kruijne; Hedderik van Rijn
Journal:  Psychon Bull Rev       Date:  2021-04-05
  6 in total

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