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

E Billing; T Belpaeme; H Cai; H-L Cao; A Ciocan; C Costescu; D David; R Homewood; Garcia D Hernandez; Esteban P Gómez; H Liu; V Nair; S Matu; A Mazel; M Selescu; E Senft; S Thill; B Vanderborght; D Vernon; T Ziemke

doi:10.1371/journal.pone.0236939

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

E Billing, T Belpaeme, H Cai, H-L Cao, A Ciocan, C Costescu, D David, R Homewood, Garcia D Hernandez, Esteban P Gómez, H Liu, V Nair, S Matu, A Mazel, M Selescu, E Senft, S Thill, B Vanderborght, D Vernon, T Ziemke

School of Engineering, Computing and Mathematics

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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.

Original language	English
Pages (from-to)	e0236939-e0236939
Number of pages	0
Journal	PLoS ONE
Volume	15
Issue number	8
Early online date	21 Aug 2020
DOIs	https://doi.org/10.1371/journal.pone.0236939
Publication status	Published - 21 Aug 2020

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10.1371/journal.pone.0236939

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

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Billing, E., Belpaeme, T., Cai, H., Cao, H.-L., Ciocan, A., Costescu, C., David, D., Homewood, R., Hernandez, G. D., Gómez, E. P., Liu, H., Nair, V., Matu, S., Mazel, A., Selescu, M., Senft, E., Thill, S., Vanderborght, B., Vernon, D., & Ziemke, T. (2020). The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. PLoS ONE, 15(8), e0236939-e0236939. https://doi.org/10.1371/journal.pone.0236939

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title = "The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy",

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.",

author = "E Billing and T Belpaeme and H Cai and H-L Cao and A Ciocan and C Costescu and D David and R Homewood and Hernandez, {Garcia D} and G{\'o}mez, {Esteban P} and H Liu and V Nair and S Matu and A Mazel and M Selescu and E Senft and S Thill and B Vanderborght and D Vernon and T Ziemke",

year = "2020",

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Billing, E, Belpaeme, T, Cai, H, Cao, H-L, Ciocan, A, Costescu, C, David, D, Homewood, R, Hernandez, GD, Gómez, EP, Liu, H, Nair, V, Matu, S, Mazel, A, Selescu, M, Senft, E, Thill, S, Vanderborght, B, Vernon, D & Ziemke, T 2020, 'The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy', PLoS ONE, vol. 15, no. 8, pp. e0236939-e0236939. https://doi.org/10.1371/journal.pone.0236939

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T1 - The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy

AU - Billing, E

AU - Belpaeme, T

AU - Cai, H

AU - Cao, H-L

AU - Ciocan, A

AU - Costescu, C

AU - David, D

AU - Homewood, R

AU - Hernandez, Garcia D

AU - Gómez, Esteban P

AU - Liu, H

AU - Nair, V

AU - Matu, S

AU - Mazel, A

AU - Selescu, M

AU - Senft, E

AU - Thill, S

AU - Vanderborght, B

AU - Vernon, D

AU - Ziemke, T

PY - 2020/8/21

Y1 - 2020/8/21

N2 - 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.

AB - 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.

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DO - 10.1371/journal.pone.0236939

M3 - Article

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VL - 15

SP - e0236939-e0236939

JO - PLoS ONE

JF - PLoS ONE

IS - 8

ER -

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

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