Abstract
Applied Behavioral Analysis (ABA) techniques are widely used and accepted by the Autism research community as an effective Autism therapy method. ABA techniques have been recently introduced to use with Socially Assistive robots (SAR) to deliver Autism therapy. Nonetheless, little research has been published to investigate the use of robot-based ABA in teaching socio-emotional skills for children diagnosed with Autism Spectrum Disorder (ASD). This paper presents the development of an ABA-based autonomous therapy system delivered by a humanoid robot, the Zeno R-50. Specifically, an intervention methodology with a prompt and an ABA reinforcement protocol to target skills associated with facial and situational emotion recognition and understanding are presented. Eleven children diagnosed with Autism were recruited to participate in the pre-pilot study screening. Initial results are investigated to discover the children’s preferred reinforcers and also to find ways of improving the therapy system before proceeding through full study groups. Results demonstrate the successful detection of reinforcers and show there is correlation between reinforcer preference and age. Results on two children who have completed interventions are presented and improvements to the protocol are discussed to contribute to the understanding of SAR in teaching socio-emotional skills to children diagnosed with ASD.
| Original language | English (US) |
|---|---|
| Title of host publication | Social Robotics - 8th International Conference, ICSR 2016, Proceedings |
| Publisher | Springer Verlag |
| Pages | 551-560 |
| Number of pages | 10 |
| Volume | 9979 LNAI |
| ISBN (Print) | 9783319474366 |
| DOIs | |
| State | Published - 2016 |
| Externally published | Yes |
| Event | 8th International Conference on Social Robotics, ICSR 2016 - Kansas City, United States Duration: Nov 1 2016 → Nov 3 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9979 LNAI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 8th International Conference on Social Robotics, ICSR 2016 |
|---|---|
| Country | United States |
| City | Kansas City |
| Period | 11/1/16 → 11/3/16 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Development of an ABA autism intervention delivered by a humanoid robot. / Salvador, Michelle; Marsh, Anna Sophia; Gutierrez, Anibal; Mahoor, Mohammad H.
Social Robotics - 8th International Conference, ICSR 2016, Proceedings. Vol. 9979 LNAI Springer Verlag, 2016. p. 551-560 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9979 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Development of an ABA autism intervention delivered by a humanoid robot
AU - Salvador, Michelle
AU - Marsh, Anna Sophia
AU - Gutierrez, Anibal
AU - Mahoor, Mohammad H.
PY - 2016
Y1 - 2016
N2 - Applied Behavioral Analysis (ABA) techniques are widely used and accepted by the Autism research community as an effective Autism therapy method. ABA techniques have been recently introduced to use with Socially Assistive robots (SAR) to deliver Autism therapy. Nonetheless, little research has been published to investigate the use of robot-based ABA in teaching socio-emotional skills for children diagnosed with Autism Spectrum Disorder (ASD). This paper presents the development of an ABA-based autonomous therapy system delivered by a humanoid robot, the Zeno R-50. Specifically, an intervention methodology with a prompt and an ABA reinforcement protocol to target skills associated with facial and situational emotion recognition and understanding are presented. Eleven children diagnosed with Autism were recruited to participate in the pre-pilot study screening. Initial results are investigated to discover the children’s preferred reinforcers and also to find ways of improving the therapy system before proceeding through full study groups. Results demonstrate the successful detection of reinforcers and show there is correlation between reinforcer preference and age. Results on two children who have completed interventions are presented and improvements to the protocol are discussed to contribute to the understanding of SAR in teaching socio-emotional skills to children diagnosed with ASD.
AB - Applied Behavioral Analysis (ABA) techniques are widely used and accepted by the Autism research community as an effective Autism therapy method. ABA techniques have been recently introduced to use with Socially Assistive robots (SAR) to deliver Autism therapy. Nonetheless, little research has been published to investigate the use of robot-based ABA in teaching socio-emotional skills for children diagnosed with Autism Spectrum Disorder (ASD). This paper presents the development of an ABA-based autonomous therapy system delivered by a humanoid robot, the Zeno R-50. Specifically, an intervention methodology with a prompt and an ABA reinforcement protocol to target skills associated with facial and situational emotion recognition and understanding are presented. Eleven children diagnosed with Autism were recruited to participate in the pre-pilot study screening. Initial results are investigated to discover the children’s preferred reinforcers and also to find ways of improving the therapy system before proceeding through full study groups. Results demonstrate the successful detection of reinforcers and show there is correlation between reinforcer preference and age. Results on two children who have completed interventions are presented and improvements to the protocol are discussed to contribute to the understanding of SAR in teaching socio-emotional skills to children diagnosed with ASD.
UR - http://www.scopus.com/inward/record.url?scp=84992518920&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992518920&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-47437-3_54
DO - 10.1007/978-3-319-47437-3_54
M3 - Conference contribution
SN - 9783319474366
VL - 9979 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 551
EP - 560
BT - Social Robotics - 8th International Conference, ICSR 2016, Proceedings
PB - Springer Verlag
ER -