匡威
对话
自闭症谱系障碍
计算机科学
主题分析
自闭症
人机交互
接口(物质)
模式(遗传算法)
非语言交际
万维网
多媒体
心理学
发展心理学
定性研究
沟通
情报检索
社会科学
几何学
数学
气泡
最大气泡压力法
社会学
并行计算
作者
Mohammad Rafayet Ali,Seyedeh Zahra Razavi,Raina Langevin,Abdullah Al Mamun,Benjamin Kane,Reza Rawassizadeh,Lenhart K. Schubert,Ehsan Hoque
标识
DOI:10.1145/3383652.3423900
摘要
We present the design of an online social skills development interface for teenagers with autism spectrum disorder (ASD). The interface is intended to enable private conversation practice anywhere, anytime using a web-browser. Users converse informally with a virtual agent, receiving feedback on nonverbal cues in realtime, and summary feedback. The prototype was developed in consultation with an expert UX designer, two psychologists, and a pediatrician. Using the data from 47 individuals, feedback and dialogue generation were automated using a hidden Markov model and a schema-driven dialogue manager capable of handling multi-topic conversations. We conducted a study with nine high-functioning ASD teenagers. Through a thematic analysis of post-experiment interviews, identified several key design considerations, notably:
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