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Can Robotic Interaction Improve Joint Attention Skills?

Overview of attention for article published in Journal of Autism and Developmental Disorders, September 2013
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143 Dimensions

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216 Mendeley
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Title
Can Robotic Interaction Improve Joint Attention Skills?
Published in
Journal of Autism and Developmental Disorders, September 2013
DOI 10.1007/s10803-013-1918-4
Pubmed ID
Authors

Zachary E. Warren, Zhi Zheng, Amy R. Swanson, Esubalew Bekele, Lian Zhang, Julie A. Crittendon, Amy F. Weitlauf, Nilanjan Sarkar

Abstract

Although it has often been argued that clinical applications of advanced technology may hold promise for addressing impairments associated with autism spectrum disorder (ASD), relatively few investigations have indexed the impact of intervention and feedback approaches. This pilot study investigated the application of a novel robotic interaction system capable of administering and adjusting joint attention prompts to a small group (n = 6) of children with ASD. Across a series of four sessions, children improved in their ability to orient to prompts administered by the robotic system and continued to display strong attention toward the humanoid robot over time. The results highlight both potential benefits of robotic systems for directed intervention approaches as well as potent limitations of existing humanoid robotic platforms.

X Demographics

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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 210 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 44 20%
Student > Ph. D. Student 34 16%
Researcher 30 14%
Student > Bachelor 18 8%
Student > Doctoral Student 13 6%
Other 23 11%
Unknown 54 25%
Readers by discipline Count As %
Psychology 50 23%
Computer Science 30 14%
Engineering 24 11%
Social Sciences 17 8%
Medicine and Dentistry 10 5%
Other 21 10%
Unknown 64 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 June 2016.
All research outputs
#14,804,956
of 25,793,330 outputs
Outputs from Journal of Autism and Developmental Disorders
#3,428
of 5,445 outputs
Outputs of similar age
#110,027
of 211,016 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#36
of 64 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,445 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 211,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.