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The DREAM dataset : supporting a data-driven study of autism spectrum disorder and robot enhanced therapy

Erik Billing, Tony Belpaeme (UGent) , Haibin Cai, Hoang-Long Cao, Anamaria Ciocan, Cristina Costescu, Daniel David, Robert Homewood, Daniel Hernandez Garcia, Pablo Gomez Esteban, et al.
(2020) PLOS ONE. 15(8).
Author
Organization
Abstract
We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and more than 300 hours of therapy. Half of the children interacted with the social robot NAO supervised by a therapist. The other half, constituting a control group, interacted directly with a therapist. Both groups followed the Applied Behavior Analysis (ABA) protocol. Each session was recorded with three RGB cameras and two RGBD (Kinect) cameras, providing detailed information of children's behavior during therapy. This public release of the dataset comprises body motion, head position and orientation, and eye gaze variables, all specified as 3D data in a joint frame of reference. In addition, metadata including participant age, gender, and autism diagnosis (ADOS) variables are included. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.
Keywords
INTERVENTIONS, CHECKLIST

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Citation

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MLA
Billing, Erik, et al. “The DREAM Dataset : Supporting a Data-Driven Study of Autism Spectrum Disorder and Robot Enhanced Therapy.” PLOS ONE, vol. 15, no. 8, Public Library Science, 2020, doi:10.1371/journal.pone.0236939.
APA
Billing, E., Belpaeme, T., Cai, H., Cao, H.-L., Ciocan, A., Costescu, C., … Ziemke, T. (2020). The DREAM dataset : supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. PLOS ONE, 15(8). https://doi.org/10.1371/journal.pone.0236939
Chicago author-date
Billing, Erik, Tony Belpaeme, Haibin Cai, Hoang-Long Cao, Anamaria Ciocan, Cristina Costescu, Daniel David, et al. 2020. “The DREAM Dataset : Supporting a Data-Driven Study of Autism Spectrum Disorder and Robot Enhanced Therapy.” PLOS ONE 15 (8). https://doi.org/10.1371/journal.pone.0236939.
Chicago author-date (all authors)
Billing, Erik, Tony Belpaeme, Haibin Cai, Hoang-Long Cao, Anamaria Ciocan, Cristina Costescu, Daniel David, Robert Homewood, Daniel Hernandez Garcia, Pablo Gomez Esteban, Honghai Liu, Vipul Nair, Silviu Matu, Alexandre Mazel, Mihaela Selescu, Emmanuel Senft, Serge Thill, Bram Vanderborght, David Vernon, and Tom Ziemke. 2020. “The DREAM Dataset : Supporting a Data-Driven Study of Autism Spectrum Disorder and Robot Enhanced Therapy.” PLOS ONE 15 (8). doi:10.1371/journal.pone.0236939.
Vancouver
1.
Billing E, Belpaeme T, Cai H, Cao H-L, Ciocan A, Costescu C, et al. The DREAM dataset : supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. PLOS ONE. 2020;15(8).
IEEE
[1]
E. Billing et al., “The DREAM dataset : supporting a data-driven study of autism spectrum disorder and robot enhanced therapy,” PLOS ONE, vol. 15, no. 8, 2020.
@article{8675066,
  abstract     = {{We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and more than 300 hours of therapy. Half of the children interacted with the social robot NAO supervised by a therapist. The other half, constituting a control group, interacted directly with a therapist. Both groups followed the Applied Behavior Analysis (ABA) protocol. Each session was recorded with three RGB cameras and two RGBD (Kinect) cameras, providing detailed information of children's behavior during therapy. This public release of the dataset comprises body motion, head position and orientation, and eye gaze variables, all specified as 3D data in a joint frame of reference. In addition, metadata including participant age, gender, and autism diagnosis (ADOS) variables are included. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.}},
  articleno    = {{e0236939}},
  author       = {{Billing, Erik and Belpaeme, Tony and Cai, Haibin and Cao, Hoang-Long and Ciocan, Anamaria and Costescu, Cristina and David, Daniel and Homewood, Robert and Garcia, Daniel Hernandez and Esteban, Pablo Gomez and Liu, Honghai and Nair, Vipul and Matu, Silviu and Mazel, Alexandre and Selescu, Mihaela and Senft, Emmanuel and Thill, Serge and Vanderborght, Bram and Vernon, David and Ziemke, Tom}},
  issn         = {{1932-6203}},
  journal      = {{PLOS ONE}},
  keywords     = {{INTERVENTIONS,CHECKLIST}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{15}},
  publisher    = {{Public Library Science}},
  title        = {{The DREAM dataset : supporting a data-driven study of autism spectrum disorder and robot enhanced therapy}},
  url          = {{http://doi.org/10.1371/journal.pone.0236939}},
  volume       = {{15}},
  year         = {{2020}},
}
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