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Movement and perceptual strategies to intercept virtual sound sources

Overview of attention for article published in Frontiers in Neuroscience, May 2015
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  • Average Attention Score compared to outputs of the same age and source

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2 Facebook pages

Citations

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7 Dimensions

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33 Mendeley
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Title
Movement and perceptual strategies to intercept virtual sound sources
Published in
Frontiers in Neuroscience, May 2015
DOI 10.3389/fnins.2015.00149
Pubmed ID
Authors

Naeem Komeilipoor, Matthew W. M. Rodger, Paola Cesari, Cathy M. Craig

Abstract

To intercept a moving object, one needs to be in the right place at the right time. In order to do this, it is necessary to pick up and use perceptual information that specifies the time to arrival of an object at an interception point. In the present study, we examined the ability to intercept a laterally moving virtual sound object by controlling the displacement of a sliding handle and tested whether and how the interaural time difference (ITD) could be the main source of perceptual information for successfully intercepting the virtual object. The results revealed that in order to accomplish the task, one might need to vary the duration of the movement, control the hand velocity and time to reach the peak velocity (speed coupling), while the adjustment of movement initiation did not facilitate performance. Furthermore, the overall performance was more successful when subjects employed a time-to-contact (tau) coupling strategy. This result shows that prospective information is available in sound for guiding goal-directed actions.

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X Demographics

The data shown below were collected from the profiles of 5 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 %
United Kingdom 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 5 15%
Researcher 4 12%
Professor 4 12%
Student > Bachelor 2 6%
Other 6 18%
Unknown 4 12%
Readers by discipline Count As %
Psychology 12 36%
Sports and Recreations 6 18%
Neuroscience 3 9%
Computer Science 3 9%
Engineering 3 9%
Other 3 9%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 July 2016.
All research outputs
#8,474,955
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#5,364
of 11,541 outputs
Outputs of similar age
#96,652
of 279,102 outputs
Outputs of similar age from Frontiers in Neuroscience
#65
of 127 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 52% 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 279,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.