ICSE2024
MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs
Arun Krishna Vajjala, S. M. Hasan Mansur, Justin Jose, Kevin Moran
11 citations
Abstract
Recent research has begun to examine the potential of automatically finding and fixing accessibility issues that manifest in software. However, while recent work makes important progress, it has generally been skewed toward identifying issues that affect users with certain disabilities, such as those with visual or hearing impairments. However there are other groups of users with different types of disabilities that also need software tooling support to improve their experience. As such, this paper aims to automatically identify accessibility issues that affect users with motor-impairments.