对话
人机交互
计算机科学
个性化
匡威
接口(物质)
自闭症
模式(遗传算法)
主题分析
多媒体
心理学
万维网
沟通
定性研究
发展心理学
社会科学
几何学
数学
气泡
最大气泡压力法
机器学习
社会学
并行计算
作者
Mohammad Rafayet Ali,Zahra Rasazi,Abdullah Al Mamun,Raina Langevin,Reza Rawassizadeh,Lenhart K. Schubert,Mohammed Moshiul Hoque
出处
期刊:Cornell University - arXiv
日期:2018-11-07
被引量:7
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 real-time, 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: 1) Users should be fully briefed at the outset about the purpose and limitations of the system, to avoid unrealistic expectations. 2) An interface should incorporate positive acknowledgment of behavior change. 3) Realistic appearance of a virtual agent and responsiveness are important in engaging users. 4) Conversation personalization, for instance in prompting laconic users for more input and reciprocal questions, would help the teenagers engage for longer terms and increase the system's utility.
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