Overselectivity is a learning challenge that is largely unaddressed in the assistive technology community. Screening and intervention, done by specialists, is time-intensive and requires substantial training. Little to no treatments are available to the broader population of preliterate, minimally verbal individuals. In this work, we examine the impact of an iPad game based on the tenets of behavioral therapy to mitigate overselectivity. We developed software-based techniques and evaluated the system using established methods from the field of Special Education. We present the results of a deployment in a special education school that demonstrates that an assistive tablet game is a feasible means of addressing overselectivity, and we present generalizable technological features drawn from evidenced-based therapies to consider in future assistive technologies. We suggest that designers of assistive technology systems, particularly those who address physical, cognitive, and behavioral difficulties for preliterate AAC users, should consider overselectivity as a potential co-occurring condition.

During face-to-face conversations, adults with autism frequently use atypical rhythms and sounds in their speech (prosody), which can result in misunderstandings and miscommunication. SayWAT is a Wearable Assistive Technology that provides feedback to wearers about their prosody during face-to-face conversations. In this paper, we describe the design process that led to five design guidelines that governed the development of SayWAT and present results from two studies involving our prototype solution. Our results indicate that wearable assistive technologies can automatically detect atypical prosody and deliver feedback in real time without disrupting the wearer or the conversation partner. Additionally, we provide suggestions for wearable assistive technologies for social support.