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The Use of Virtual Characters to Assess and Train Non-Verbal Communication in High-Functioning Autism

Overview of attention for article published in Frontiers in Human Neuroscience, October 2014
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Citations

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101 Dimensions

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Title
The Use of Virtual Characters to Assess and Train Non-Verbal Communication in High-Functioning Autism
Published in
Frontiers in Human Neuroscience, October 2014
DOI 10.3389/fnhum.2014.00807
Pubmed ID
Authors

Alexandra Livia Georgescu, Bojana Kuzmanovic, Daniel Roth, Gary Bente, Kai Vogeley

Abstract

High-functioning autism (HFA) is a neurodevelopmental disorder, which is characterized by life-long socio-communicative impairments on the one hand and preserved verbal and general learning and memory abilities on the other. One of the areas where particular difficulties are observable is the understanding of non-verbal communication cues. Thus, investigating the underlying psychological processes and neural mechanisms of non-verbal communication in HFA allows a better understanding of this disorder, and potentially enables the development of more efficient forms of psychotherapy and trainings. However, the research on non-verbal information processing in HFA faces several methodological challenges. The use of virtual characters (VCs) helps to overcome such challenges by enabling an ecologically valid experience of social presence, and by providing an experimental platform that can be systematically and fully controlled. To make this field of research accessible to a broader audience, we elaborate in the first part of the review the validity of using VCs in non-verbal behavior research on HFA, and we review current relevant paradigms and findings from social-cognitive neuroscience. In the second part, we argue for the use of VCs as either agents or avatars in the context of "transformed social interactions." This allows for the implementation of real-time social interaction in virtual experimental settings, which represents a more sensitive measure of socio-communicative impairments in HFA. Finally, we argue that VCs and environments are a valuable assistive, educational and therapeutic tool for HFA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Portugal 1 <1%
Colombia 1 <1%
France 1 <1%
Netherlands 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 260 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 16%
Student > Master 38 14%
Researcher 33 12%
Student > Bachelor 27 10%
Student > Doctoral Student 15 6%
Other 38 14%
Unknown 75 28%
Readers by discipline Count As %
Psychology 63 24%
Computer Science 27 10%
Medicine and Dentistry 14 5%
Neuroscience 12 4%
Engineering 12 4%
Other 51 19%
Unknown 89 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 February 2019.
All research outputs
#7,091,759
of 25,654,806 outputs
Outputs from Frontiers in Human Neuroscience
#2,716
of 7,741 outputs
Outputs of similar age
#70,846
of 268,668 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#110
of 246 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 64% 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 268,668 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 73% of its contemporaries.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.