Creator/Principal investigator(s)
Erik Billing - University of Skövde, School of Informatics
Description
Language
English
Research principal
Responsible department/unit
The School of Informatics
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
Data contains personal data
No
Ethics Review
Other - Ref. 30664/February 10th, 2017: Scientific Council of Babes-Bolyai University in Cluj-Napoca, Romania
Unit of analysis
Population
61 Romanian children, age 3 to 6 years, diagnosed with autism spectrum disorder (ADOS-G)
Study design
Experimental study
Randomised controlled trial (RCT)
Sampling procedure
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
If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.
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
Version 1
https://doi.org/10.5878/17p8-6k13
Citation
Download citation
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
