PuzzleWalk: A theory-driven iterative design inquiry of a mobile game for promoting physical activity in adults with autism spectrum disorder

Bogoan Kim, Daehyoung Lee, Aehong Min, Seungwon Paik, Georgia Frey, Scott Bellini, Kyungsik Han, Patrick C. Shih

Research output: Contribution to journalArticlepeer-review

Abstract

Primary symptoms of adults with autism spectrum disorder (ASD), such as pervasive social deficits in social interaction and communication, cause adults with ASD to adopt a sedentary lifestyle. Meanwhile, gamified and behavioral theory-based interventions have been shown to improve physical activity in a fun and unobtrusive way. In this paper, we describe the iterative design inquiry process of PuzzleWalk, a gamified, physical activity-promoting mobile app designed for adults with ASD. We report the design rationales and lessons learned across four user-centered design phases with ASD experts and adults with ASD, including user requirement gathering, iterative participatory design, usability evaluation, and field deployment. The design insights generated from this work could inform future research focusing on designing sociotechnical systems, games, and interventions for people with ASD.

Original languageEnglish (US)
Article numbere0237966
JournalPloS one
Volume15
Issue number9 September 2020
DOIs
StatePublished - Sep 2020

Bibliographical note

Funding Information:
Frey, GC, Shih, PC, Bellini, S. Indiana University Collaborative Research Grants Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This research was supported by the Indiana University Collaborative Research Grant Program and the MSIT (Ministry of Science and ICT), Korea, under the program (2020-0-01523) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).

Publisher Copyright:
Copyright: © 2020 Kim et al.

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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