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Access. Comput."],"published-print":{"date-parts":[[2017,10,25]]},"abstract":"<jats:p>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\u2014comprised of children with ASD and typically developing (TD) peers (6 ASD-TD dyads and 6 TD-TD dyads)\u2014was 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.<\/jats:p>","DOI":"10.1145\/3107925","type":"journal-article","created":{"date-parts":[[2017,8,10]],"date-time":"2017-08-10T12:12:29Z","timestamp":1502367149000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Process Measures of Dyadic Collaborative Interaction for Social Skills Intervention in Individuals with Autism Spectrum Disorders"],"prefix":"10.1145","volume":"10","author":[{"given":"Joshua","family":"Wade","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Vanderbilt University, Nashville, TN"}]},{"given":"Arpan","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harvard University, Cambridge, MA"}]},{"given":"Amy","family":"Swanson","sequence":"additional","affiliation":[{"name":"Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University, Nashville, TN"}]},{"given":"Amy","family":"Weitlauf","sequence":"additional","affiliation":[{"name":"Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University, Nashville, TN"}]},{"given":"Zachary","family":"Warren","sequence":"additional","affiliation":[{"name":"Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University, Nashville, TN"}]},{"given":"Nilanjan","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Vanderbilt University, Nashville, TN"}]}],"member":"320","published-online":{"date-parts":[[2017,8,9]]},"reference":[{"volume-title":"Proceedings of the International Conference on Artificial Intelligence in Education. 7--14","author":"Alcorn A.","key":"e_1_2_1_1_1"},{"doi-asserted-by":"crossref","unstructured":"American Psychiatric Association. 2013. 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