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Visual similarity is stronger than semantic similarity in guiding visual search for numbers

Overview of attention for article published in Psychonomic Bulletin & Review, December 2013
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Title
Visual similarity is stronger than semantic similarity in guiding visual search for numbers
Published in
Psychonomic Bulletin & Review, December 2013
DOI 10.3758/s13423-013-0547-4
Pubmed ID
Authors

Hayward J. Godwin, Michael C. Hout, Tamaryn Menneer

Abstract

Using a visual search task, we explored how behavior is influenced by both visual and semantic information. We recorded participants' eye movements as they searched for a single target number in a search array of single-digit numbers (0-9). We examined the probability of fixating the various distractors as a function of two key dimensions: the visual similarity between the target and each distractor, and the semantic similarity (i.e., the numerical distance) between the target and each distractor. Visual similarity estimates were obtained using multidimensional scaling based on the independent observer similarity ratings. A linear mixed-effects model demonstrated that both visual and semantic similarity influenced the probability that distractors would be fixated. However, the visual similarity effect was substantially larger than the semantic similarity effect. We close by discussing the potential value of using this novel methodological approach and the implications for both simple and complex visual search displays.

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The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Germany 1 1%
Peru 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 10 14%
Student > Master 7 10%
Student > Doctoral Student 7 10%
Student > Bachelor 7 10%
Other 13 18%
Unknown 10 14%
Readers by discipline Count As %
Psychology 39 54%
Social Sciences 3 4%
Neuroscience 3 4%
Linguistics 3 4%
Engineering 3 4%
Other 7 10%
Unknown 14 19%