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Decoding intentions from movement kinematics

Overview of attention for article published in Scientific Reports, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
14 tweeters

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
143 Mendeley
Title
Decoding intentions from movement kinematics
Published in
Scientific Reports, November 2016
DOI 10.1038/srep37036
Pubmed ID
Authors

Andrea Cavallo, Atesh Koul, Caterina Ansuini, Francesca Capozzi, Cristina Becchio

Abstract

How do we understand the intentions of other people? There has been a longstanding controversy over whether it is possible to understand others' intentions by simply observing their movements. Here, we show that indeed movement kinematics can form the basis for intention detection. By combining kinematics and psychophysical methods with classification and regression tree (CART) modeling, we found that observers utilized a subset of discriminant kinematic features over the total kinematic pattern in order to detect intention from observation of simple motor acts. Intention discriminability covaried with movement kinematics on a trial-by-trial basis, and was directly related to the expression of discriminative features in the observed movements. These findings demonstrate a definable and measurable relationship between the specific features of observed movements and the ability to discriminate intention, providing quantitative evidence of the significance of movement kinematics for anticipating others' intentional actions.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
Japan 1 <1%
Unknown 140 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Researcher 29 20%
Student > Master 19 13%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 22 15%
Unknown 18 13%
Readers by discipline Count As %
Psychology 55 38%
Neuroscience 24 17%
Engineering 7 5%
Agricultural and Biological Sciences 4 3%
Medicine and Dentistry 4 3%
Other 20 14%
Unknown 29 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 10 February 2021.
All research outputs
#1,321,418
of 18,623,929 outputs
Outputs from Scientific Reports
#12,450
of 99,753 outputs
Outputs of similar age
#31,819
of 299,305 outputs
Outputs of similar age from Scientific Reports
#707
of 5,257 outputs
Altmetric has tracked 18,623,929 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done well, scoring higher than 87% 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 299,305 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5,257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.