Journal article
Visual statistical learning can drive object-based attentional selection
Attention, perception & psychophysics, Vol.76(8), pp.2240-2248
11/2014
DOI: 10.3758/s13414-014-0708-1
PMID: 24935806
Abstract
Recent work on statistical learning has demonstrated that environmental regularities can influence aspects of perception, such as familiarity judgments. Here, we ask if statistical co-occurrences accumulated from visual statistical learning could form objects that serve as the units of attention (i.e., object-based attention). Experiment 1 demonstrated that, after observers first viewed pairs of shapes that co-occurred in particular spatial relationships, they were able to recognize the co-occurring pairs, and were faster to discriminate two targets when they appeared within a learned pair ("object") than when the targets appeared between learned pairs, demonstrating an equivalent of an object-based attention effect. Experiment 2 replicated the results of Experiment 1 using a different set of shape pairs, and revealed a negative association between the attention effect and familiarity judgments of the co-occurred pairs. Experiment 3 reports three control experiments that validated the task procedure and ruled out alternative accounts.
Details
- Title: Subtitle
- Visual statistical learning can drive object-based attentional selection
- Creators
- Libo Zhao - Department of Psychology, University of Iowa, E11 Seashore Hall, Iowa City, IA, 52242-1407, USAJoshua D CosmanDaniel B VatterottPrahlad GuptaShaun P Vecera
- Resource Type
- Journal article
- Publication Details
- Attention, perception & psychophysics, Vol.76(8), pp.2240-2248
- DOI
- 10.3758/s13414-014-0708-1
- PMID
- 24935806
- NLM abbreviation
- Atten Percept Psychophys
- ISSN
- 1943-3921
- eISSN
- 1943-393X
- Publisher
- United States
- Language
- English
- Date published
- 11/2014
- Academic Unit
- Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984002474302771
Metrics
20 Record Views