The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy.

Journal: PloS one
PMID: 32823270

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.

Authors

  • Erik Billing
    University of Skövde, Skövde, Sweden.
  • Tony Belpaeme
    Centre for Robotics and Neural Systems, University of Plymouth, Plymouth, UK.
  • Haibin Cai
    University of Portsmouth, Portsmouth, United Kingdom.
  • Hoang-Long Cao
    Vrije Universiteit Brussel, Robotics and Multibody Mechanics Research Group, Brussels, Belgium.
  • Anamaria Ciocan
    Universitatea Babeş-Bolyai, Cluj-Napoca, Romania.
  • Cristina Costescu
    Universitatea Babeş-Bolyai, Cluj-Napoca, Romania.
  • Daniel David
    Department of Clinical Psychology and Psychotherapy, Babeș-Bolyai University, Cluj-Napoca, Romania.
  • Robert Homewood
    University of Skövde, Skövde, Sweden.
  • Daniel Hernandez Garcia
    University of Plymouth, Plymouth, United Kingdom.
  • Pablo Gómez Esteban
    Vrije Universiteit Brussel, Brussel, Belgium.
  • Honghai Liu
    School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK. honghai.liu@port.ac.uk.
  • Vipul Nair
    University of Skövde, Skövde, Sweden.
  • Silviu Matu
    Universitatea Babeş-Bolyai, Cluj-Napoca, Romania.
  • Alexandre Mazel
    SoftBank Robotics, Paris, France.
  • Mihaela Selescu
    Universitatea Babeş-Bolyai, Cluj-Napoca, Romania.
  • Emmanuel Senft
    Centre for Robotics and Neural Systems, University of Plymouth, Plymouth, UK. senft.emmanuel@gmail.com.
  • Serge Thill
    Centre for Robotics and Neural Systems, University of Plymouth, Plymouth PL4 8AA, UK; School of Informatics, University of Skövde, 54128 Skövde, Sweden. Electronic address: serge.thill@plymouth.ac.uk.
  • Bram Vanderborght
    Robotics and Multibody Mechanics Research Group, Vrije Universiteit Brussels, Brussels, Belgium.
  • David Vernon
    Carnegie Mellon University Africa, Rwanda. Electronic address: vernon@cmu.edu.
  • Tom Ziemke
    Interaction Lab, School of Informatics, University of Skövde, 54128 Skövde, Sweden; Cognition & Interaction Lab, Human-Centered Systems Division, Department of Computer & Information Science, Linköping University, 58183 Linköping, Sweden. Electronic address: tom.ziemke@liu.se.

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