Literature DB >> 26163225

Repetition priming in selective attention: A TVA analysis.

Árni Gunnar Ásgeirsson1, Árni Kristjánsson2, Claus Bundesen3.   

Abstract

Current behavior is influenced by events in the recent past. In visual attention, this is expressed in many variations of priming effects. Here, we investigate color priming in a brief exposure digit-recognition task. Observers performed a masked odd-one-out singleton recognition task where the target-color either repeated or changed between subsequent trials. Performance was measured by recognition accuracy over exposure durations. The purpose of the study was to replicate earlier findings of perceptual priming in brief displays and to model those results based on a Theory of Visual Attention (TVA; Bundesen, 1990). We tested 4 different definitions of a generic TVA-model and assessed their explanatory power. Our hypothesis was that priming effects could be explained by selective mechanisms, and that target-color repetitions would only affect the selectivity parameter (α) of our models. Repeating target colors enhanced performance for all 12 observers. As predicted, this was only true under conditions that required selection of a target among distractors, but not when a target was presented alone. Model fits by TVA were obtained with a trial-by-trial maximum likelihood estimation procedure that estimated 4-15 free parameters, depending on the particular model. We draw two main conclusions. Color priming can be modeled simply as a change in selectivity between conditions of repetition or swap of target color. Depending on the desired resolution of analysis; priming can accurately be modeled by a simple four parameter model, where VSTM capacity and spatial biases of attention are ignored, or more fine-grained by a 10 parameter model that takes these aspects into account.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Modeling; Repetition priming; TVA; Visual attention; Visual cognition

Mesh:

Year:  2015        PMID: 26163225     DOI: 10.1016/j.actpsy.2015.06.008

Source DB:  PubMed          Journal:  Acta Psychol (Amst)        ISSN: 0001-6918


  10 in total

1.  How visual working memory contents influence priming of visual attention.

Authors:  Nancy B Carlisle; Árni Kristjánsson
Journal:  Psychol Res       Date:  2017-04-12

2.  Selection and response bias as determinants of priming of pop-out search: Revelations from diffusion modeling.

Authors:  Bryan R Burnham
Journal:  Psychon Bull Rev       Date:  2018-12

Review 3.  Does feature intertrial priming guide attention? The jury is still out.

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

Review 4.  Priming of probabilistic attentional templates.

Authors:  Árni Kristjánsson
Journal:  Psychon Bull Rev       Date:  2022-07-13

5.  Inter-trial effects in visual pop-out search: Factorial comparison of Bayesian updating models.

Authors:  Fredrik Allenmark; Hermann J Müller; Zhuanghua Shi
Journal:  PLoS Comput Biol       Date:  2018-07-30       Impact factor: 4.475

6.  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

7.  Hidden by bias: how standard psychophysical procedures conceal crucial aspects of peripheral visual appearance.

Authors:  Fazilet Zeynep Yildirim; Daniel R Coates; Bilge Sayim
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

8.  Keeping it real: Looking beyond capacity limits in visual cognition.

Authors:  Árni Kristjánsson; Dejan Draschkow
Journal:  Atten Percept Psychophys       Date:  2021-03-31       Impact factor: 2.199

9.  The Effects of Feature-Based Priming and Visual Working Memory on Oculomotor Capture.

Authors:  Jeroen D Silvis; Artem V Belopolsky; Jozua W I Murris; Mieke Donk
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

10.  Inter-trial effects in priming of pop-out: Comparison of computational updating models.

Authors:  Fredrik Allenmark; Ahu Gokce; Thomas Geyer; Artyom Zinchenko; Hermann J Müller; Zhuanghua Shi
Journal:  PLoS Comput Biol       Date:  2021-09-03       Impact factor: 4.475

  10 in total

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