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Perceptual Expertise as a Shift From Strategic Interference to Automatic Holistic Processing

Overview of attention for article published in Current Directions in Psychological Science, April 2011
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Article details
Title
Perceptual Expertise as a Shift From Strategic Interference to Automatic Holistic Processing
Published in
Current Directions in Psychological Science, April 2011
DOI 10.1177/0963721411402472
Pubmed ID
Authors
Abstract

Holistic processing was initially characterized a unique hallmark of face perception (e.g., Young et al., 1987) and later argued a domain-general marker of perceptual expertise (e.g., Gauthier et al., 1998). More recently, evidence for holistic processing - measured by interference from task-irrelevant parts - was obtained in novices, raising questions for its usefulness as a test of expertise. Indeed, recent studies use the same task to make opposite claims: Hsiao & Cottrell (2009) found more interference in novices than experts for Chinese characters, while Wong, Palmeri & Gauthier (2009) found more interference in experts than novices with objects. Offering a resolution to this paradox, our work on the perception of musical notation (Wong & Gauthier, in press) suggests that expert and novice interference effects represent two ends of a continuum: interference is initially strategic and contextual, but becomes more automatic as holistic processing develops with the acquisition of perceptual expertise.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 4%
Indonesia 1 <1%
China 1 <1%
Canada 1 <1%
Unknown 145 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 36 23%
Researcher 24 16%
Student > Master 17 11%
Student > Bachelor 14 9%
Student > Doctoral Student 11 7%
Other 30 19%
Unknown 22 14%
Readers by discipline
Readers by discipline Count As %
Psychology 87 56%
Computer Science 9 6%
Neuroscience 7 5%
Social Sciences 6 4%
Agricultural and Biological Sciences 5 3%
Other 13 8%
Unknown 27 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2023.
All research outputs
#8,198,220
of 24,562,945 outputs
Outputs from Current Directions in Psychological Science
#1,172
of 1,477 outputs
Outputs of similar age
#41,847
of 112,316 outputs
Outputs of similar age from Current Directions in Psychological Science
#16
of 21 outputs
Altmetric has tracked 24,562,945 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.4. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 112,316 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.