Process Measures of Dyadic Collaborative Interaction for Social Skills Intervention in Individuals with Autism Spectrum Disorders

Joshua Wade, Arpan Sarkar, Amy Swanson, Amy Weitlauf, Zachary Warren, Nilanjan Sarkar

ACM Transactions on Accessible Computing · 2017 · 12 citations · 22 references

Concepts

Abstract

Technology-based social skills interventions have shown promise for people with Autism Spectrum Disorder (ASD), a neurodevelopmental disorder characterized by impairments in social interaction and communication. Primary advantages of a technology-based approach to intervention relate to consistency of service delivery as well as an ability to quantitatively measure process and outcomes. Despite these strengths, however, many current computer-supported systems rely on survey data or data collected post-interaction. In response, we have developed and pilot-tested DOSE (Dyad-Operated Social Encouragement), a novel game and data acquisition platform for collaborative skills intervention that leverages the ability of software to collect time-series, speech audio, and event information for the purposes of finer-grained analyses of dyadic interactions. A pilot study involving 12 participant dyads—comprised of children with ASD and typically developing (TD) peers (6 ASD-TD dyads and 6 TD-TD dyads)—was conducted and several metrics were computed during interactions. Preliminary results suggest that the DOSE system is engaging to users, is capable of collecting a wide range of quantitative process measures, and that post-training measures show preliminary evidence of increased communication and activity coordination. Furthermore, DOSE has been made open-source, allowing other investigators to use and extend DOSE for a variety of applications.

References

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