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Assessing Social Communication and Collaboration in Autism Spectrum Disorder Using Intelligent Collaborative Virtual
Lian Zhang1, Amy S Weitlauf2,3, Ashwaq Zaini Amat1
1Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Journal of Autism and Developmental Disorders
|October 5, 2019
Summary
This study introduces CRETA, a virtual reality system for assessing social communication in autism spectrum disorder (ASD). CRETA shows promise for objective, scalable measurement in ASD research.
Area of Science:
- Technology and Medicine
- Autism Spectrum Disorder Research
- Human-Computer Interaction
Background:
- Current autism spectrum disorder (ASD) intervention research relies on subjective human ratings for social communication outcomes, limiting real-world applicability.
- Virtual reality (VR) and collaborative virtual environments (CVE) offer potential for objective, scalable, and cost-effective measurement platforms.
- Intelligent agent technology integrated with peer interactions can enhance the utility of CVEs for research.
Purpose of the Study:
- To develop and pilot a novel collaborative virtual environment and intelligent agent (CRETA) for assessing social communication and collaboration in individuals with ASD.
- To evaluate the accuracy of CRETA in classifying user statements and the agreement of observed skills in human-agent versus human-human interactions.
- To explore the potential of CRETA as an autonomous measurement system for future ASD research.
Main Methods:
- Development and piloting of the CRETA system, a collaborative virtual environment with an integrated intelligent agent.
- Utilizing CRETA to assess social communication and collaboration skills through system and peer interactions.
- Classification of user statements and comparison of communication/collaboration skills between human-human and human-agent interactions within the CVE.
Main Results:
- The CRETA system demonstrated moderate to high accuracy in classifying user statements.
- A moderate to high agreement was observed in displayed communication and collaboration skills between human-human and human-agent interactions.
- Pilot data suggests CRETA's feasibility for assessing social communication in ASD.
Conclusions:
- CRETA presents a novel and promising approach for the autonomous assessment of social communication and collaboration in autism spectrum disorder research.
- The system's ability to achieve agreement in skill assessment between human-agent and human-human interactions supports its potential for objective measurement.
- Further development of CRETA could lead to more replicable and generalizable findings in ASD intervention studies.
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