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Suspiciousness perception in dynamic scenes: a comparison of CCTV operators and novices

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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2 news outlets
blogs
2 blogs
twitter
4 X users
wikipedia
1 Wikipedia page

Citations

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19 Dimensions

Readers on

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69 Mendeley
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Title
Suspiciousness perception in dynamic scenes: a comparison of CCTV operators and novices
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00441
Pubmed ID
Authors

Christina J. Howard, Tom Troscianko, Iain D. Gilchrist, Ardhendu Behera, David C. Hogg

Abstract

Perception of scenes has typically been investigated by using static or simplified visual displays. How attention is used to perceive and evaluate dynamic, realistic scenes is more poorly understood, in part due to the problem of comparing eye fixations to moving stimuli across observers. When the task and stimulus is common across observers, consistent fixation location can indicate that that region has high goal-based relevance. Here we investigated these issues when an observer has a specific, and naturalistic, task: closed-circuit television (CCTV) monitoring. We concurrently recorded eye movements and ratings of perceived suspiciousness as different observers watched the same set of clips from real CCTV footage. Trained CCTV operators showed greater consistency in fixation location and greater consistency in suspiciousness judgements than untrained observers. Training appears to increase between-operators consistency by learning "knowing what to look for" in these scenes. We used a novel "Dynamic Area of Focus (DAF)" analysis to show that in CCTV monitoring there is a temporal relationship between eye movements and subsequent manual responses, as we have previously found for a sports video watching task. For trained CCTV operators and for untrained observers, manual responses were most highly related to between-observer eye position spread when a temporal lag was introduced between the fixation and response data. Several hundred milliseconds after between-observer eye positions became most similar, observers tended to push the joystick to indicate perceived suspiciousness. Conversely, several hundred milliseconds after between-observer eye positions became dissimilar, observers tended to rate suspiciousness as low. These data provide further support for this DAF method as an important tool for examining goal-directed fixation behavior when the stimulus is a real moving image.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Spain 1 1%
Sweden 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Student > Master 8 12%
Student > Bachelor 6 9%
Researcher 5 7%
Student > Postgraduate 5 7%
Other 20 29%
Unknown 13 19%
Readers by discipline Count As %
Psychology 19 28%
Computer Science 6 9%
Social Sciences 6 9%
Sports and Recreations 5 7%
Engineering 3 4%
Other 15 22%
Unknown 15 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 24 November 2016.
All research outputs
#965,875
of 22,714,025 outputs
Outputs from Frontiers in Human Neuroscience
#460
of 7,129 outputs
Outputs of similar age
#8,653
of 280,752 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#71
of 862 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 93% 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 280,752 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 96% of its contemporaries.
We're also able to compare this research output to 862 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 91% of its contemporaries.