Literature DB >> 19045983

Can intertrial effects of features and dimensions be explained by a single theory?

Stefanie I Becker1.   

Abstract

This study investigated feature- and dimension-based intertrial effects in visual search for a pop-out target. The 2 prominent theories explaining intertrial effects, priming of pop-out and dimension weighting, both assume that repeating the target from the previous trial facilitates attention shifts to the target, whereas changing the target leads to attentional switch costs. In contrast, the results from the present study indicate that intertrial effects from changing features and dimensions involve different underlying mechanisms: Eye movement recordings showed that feature priming reliably modulates the speed of visually selecting the target, whereas changing the target dimension interferes only with processes after selection of the search target. Further experiments with a size and orientation singleton target showed that feature priming does not consist in carryover effects of target activation or nontarget inhibition, contrary to standard assumptions in visual search. Instead, priming effects critically depended on whether a coarse relation between target and nontarget features (e.g., smaller or larger) was repeated or reversed across trials. These results suggest the need to modify current models of priming in visual search.

Mesh:

Year:  2008        PMID: 19045983     DOI: 10.1037/a0011386

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  8 in total

1.  Testing a postselectional account of across-dimension switch costs.

Authors:  Stefanie I Becker
Journal:  Psychon Bull Rev       Date:  2010-12

Review 2.  Does feature intertrial priming guide attention? The jury is still out.

Authors:  Aniruddha Ramgir; Dominique Lamy
Journal:  Psychon Bull Rev       Date:  2021-10-08

3.  The long and the short of priming in visual search.

Authors:  Wouter Kruijne; Martijn Meeter
Journal:  Atten Percept Psychophys       Date:  2015-07       Impact factor: 2.199

4.  Color priming in pop-out search depends on the relative color of the target.

Authors:  Stefanie I Becker; Christian Valuch; Ulrich Ansorge
Journal:  Front Psychol       Date:  2014-04-08

5.  You prime what you code: The fAIM model of priming of pop-out.

Authors:  Wouter Kruijne; Martijn Meeter
Journal:  PLoS One       Date:  2017-11-22       Impact factor: 3.240

6.  Predicting how surface texture and shape combine in the human visual system to direct attention.

Authors:  Zoe Jing Xu; Alejandro Lleras; Simona Buetti
Journal:  Sci Rep       Date:  2021-03-17       Impact factor: 4.379

7.  Inhibition continues to guide search under concurrent visual working memory load.

Authors:  Zachary Hamblin-Frohman; Stefanie I Becker
Journal:  J Vis       Date:  2022-02-01       Impact factor: 2.240

8.  Predicting how color and shape combine in the human visual system to direct attention.

Authors:  Simona Buetti; Jing Xu; Alejandro Lleras
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

  8 in total

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