From Research to Practice: Informing the Design of Autism Support Smart Technology

論文URL:http://dl.acm.org/citation.cfm?doid=3173574.3173676

論文アブストラクト:Smart technologies (wearable and mobile devices) show tremendous potential in the detection, diagnosis, and management of Autism Spectrum Disorder (ASD) by enabling continuous real-time data collection, identifying effective treatment strategies, and supporting intervention design and delivery. Though promising, effective utilization of smart technology in aiding ASD is still limited. We propose a set of implications to guide the design of ASD-support technology by analyzing 149 peer-reviewed articles focused on children with autism from ACM Digital Library, IEEE Xplore, and PubMed. Our analysis reveals that technology should facilitate real-time detection and identification of points-of-interest, adapt its behavior driven by the real-time affective state of the user, utilize familiar and unfamiliar features depending on user-context, and aid in revealing even minuscule progress made by children with autism. Our findings indicate that such technology should strive to blend-in with everyday objects. Moreover, gradual exposure and desensitization may facilitate successful adaptation of novel technology.

日本語のまとめ:

自閉症スペクトラム障害を支援するモバイル・ウェアラブル技術の研究に関するレビュー論文。情報・医療の両分野から網羅的に論文を収集し、対象領域(自閉症の早期発見、ソーシャルスキル向上支援など)やデザイン上の留意点を分析。

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