The DREAM Dataset: Behavioural data from robot enhanced therapies for children with autism spectrum disorder

SND-ID: SND 1156

Description Data and documentation

Creator/Principal investigator(s)

Erik Billing - University of Skövde, School of Informatics

Description

This dataset comprise behavioural data recorded from 61 children diagnosed with Autism Spectrum Disorders (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 behaviour during therapy. This public release of the dataset noes not include video recordings or other personal information. Instead, it 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.

Language

English

Research principal, contributors, and funding

Research principal

University of Skövde

Contributor(s)

Universitatea Babes-Bolyai, Department of Clinical Psychology and Psychotherapy

University of Portsmouth, School of Computing

SoftBank Robotics

University of Plymouth, School of Engineering, Computing and Mathematics

Vrije Universiteit Brussel, Department of Mechanical Engineering

Funding

  • Funding agency: European Commission
  • Funding agency's reference number: 611391
Protection and ethical review

Data contains personal data

No

Ethics Review

Other - Ref. 30664/February 10th, 2017: Scientific Council of Babes-Bolyai University in Cluj-Napoca, Romania

Method and time period

Unit of analysis

Population

61 Romanian children, age 3 to 6 years, diagnosed with autism spectrum disorder (ADOS-G)

Sampling procedure

Non-probability: Availability
Geographic coverage
Publications

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Cao, H. L., Esteban, P., Bartlett, M., Baxter, P. E., Belpaeme, T., Billing, E., … Ziemke, T. (2019). Robot-Enhanced Therapy: Development and Validation of a Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy. IEEE Robotics and Automation Magazine.
DOI: https://doi.org/10.1109/MRA.2019.2904121

Cai, H., Fang, Y., Ju, Z., Costescu, C., David, D., Billing, E. A., … Liu, H. (2019). Sensing-enhanced Therapy System for Assessing Children with Autism Spectrum Disorders: A Feasibility Study. IEEE Sensors Journal, 9(4), 1508–1518.
DOI: https://doi.org/10.1109/JSEN.2018.2877662

Esteban, P. G., Baxter, P., Belpaeme, T., Billing, E. A., Cai, H., Cao, H., … Ziemke, T. (2017). How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder. Paladyn, Journal of Behavioral Robotics, 8(1), 18–38.
DOI: https://doi.org/10.1515/pjbr-2017-0002

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Dataset
The DREAM Dataset: Behavioural data from robot enhanced therapies for children with autism spectrum disorder

Download data

Description

All data in this dataset is stored in JavaScript Object Notation (JSON) and can be downloaded here as DREAMdataset.zip. A much smaller archive comprising example data recorded from a single session is provided in DREAMdata-example.zip. The JSON format is specified in detail by the JSON Schema (dream.1.1.json) provided with this dataset.

JSON data can be read using standard libraries in most programming languages. Basic instructions on how to load and plot the data using Python and Jupyter are a

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Version 1

Citation

Erik Billing. University of Skövde, The School of Informatics (2020). <em>The DREAM Dataset: Behavioural data from robot enhanced therapies for children with autism spectrum disorder</em>. Swedish National Data Service. Version 1. <a href="https://doi.org/10.5878/17p8-6k13">https://doi.org/10.5878/17p8-6k13</a>

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Data format / data structure

Numeric

Text

3D

Creator/Principal investigator(s)

Erik Billing - University of Skövde, School of Informatics

Time period(s) investigated

2017-03-01–2018-08-31

Variables

12

Response rate/participation rate

61

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Published: 2020-07-23
Last updated: 2020-09-04