Title |
Social Robots as Embedded Reinforcers of Social Behavior in Children with Autism
|
---|---|
Published in |
Journal of Autism and Developmental Disorders, October 2012
|
DOI | 10.1007/s10803-012-1645-2 |
Pubmed ID | |
Authors |
Elizabeth S. Kim, Lauren D. Berkovits, Emily P. Bernier, Dan Leyzberg, Frederick Shic, Rhea Paul, Brian Scassellati |
Abstract |
In this study we examined the social behaviors of 4- to 12-year-old children with autism spectrum disorders (ASD; N = 24) during three tradic interactions with an adult confederate and an interaction partner, where the interaction partner varied randomly among (1) another adult human, (2) a touchscreen computer game, and (3) a social dinosaur robot. Children spoke more in general, and directed more speech to the adult confederate, when the interaction partner was a robot, as compared to a human or computer game interaction partner. Children spoke as much to the robot as to the adult interaction partner. This study provides the largest demonstration of social human-robot interaction in children with autism to date. Our findings suggest that social robots may be developed into useful tools for social skills and communication therapies, specifically by embedding social interaction into intrinsic reinforcers and motivators. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 1% |
United Kingdom | 4 | <1% |
Spain | 2 | <1% |
Germany | 1 | <1% |
Italy | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Other | 3 | <1% |
Unknown | 520 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 103 | 19% |
Student > Master | 89 | 16% |
Student > Bachelor | 80 | 15% |
Researcher | 49 | 9% |
Student > Doctoral Student | 24 | 4% |
Other | 72 | 13% |
Unknown | 124 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 96 | 18% |
Computer Science | 75 | 14% |
Engineering | 69 | 13% |
Social Sciences | 51 | 9% |
Medicine and Dentistry | 22 | 4% |
Other | 79 | 15% |
Unknown | 149 | 28% |