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Safety in numbers: Target prevalence affects the detection of vehicles during simulated driving

Overview of attention for article published in Attention, Perception, & Psychophysics, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 1,773)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
13 news outlets
twitter
2 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
33 Mendeley
Title
Safety in numbers: Target prevalence affects the detection of vehicles during simulated driving
Published in
Attention, Perception, & Psychophysics, January 2014
DOI 10.3758/s13414-013-0603-1
Pubmed ID
Authors

Vanessa Beanland, Michael G. Lenné, Geoffrey Underwood

Abstract

The "low-prevalence effect" refers to the fact that observers often fail to detect rare targets (<5 % prevalence) during visual search tasks. Previous research has demonstrated robust prevalence effects in real-world tasks that employ static images, such as airport luggage screening. No published research has examined prevalence effects in dynamic tasks, such as driving. We conducted a driving simulator experiment to investigate whether target prevalence effects influence the detection of other vehicles while driving. The target vehicles were motorcycles and buses, with prevalence being manipulated both within and between subjects: Half of the subjects experienced a high prevalence of motorcycles with a low prevalence of buses, and half experienced a high prevalence of buses with a low prevalence of motorcycles. Consistent with our hypotheses, drivers detected high-prevalence targets faster than low-prevalence targets for both vehicle types. Overall, our results support the notion that increasing the prevalence of visual search targets makes them more salient, and consequently easier to detect.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Researcher 5 15%
Student > Master 4 12%
Other 3 9%
Student > Bachelor 3 9%
Other 4 12%
Unknown 2 6%
Readers by discipline Count As %
Psychology 17 52%
Engineering 5 15%
Business, Management and Accounting 2 6%
Agricultural and Biological Sciences 1 3%
Computer Science 1 3%
Other 4 12%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 99. 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 14 September 2016.
All research outputs
#393,958
of 24,003,070 outputs
Outputs from Attention, Perception, & Psychophysics
#15
of 1,773 outputs
Outputs of similar age
#4,026
of 314,471 outputs
Outputs of similar age from Attention, Perception, & Psychophysics
#3
of 45 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,773 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% of its peers.
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 314,471 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.