Can I read MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs on EtoBox?

MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs by Krishnavajjala, Arun; Mansur, SM Hasan; Jose, Justin; Moran, Kevin is a scholarly article available to read on EtoBox.

What is MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs about?

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. To move toward this goal, this paper introduces a novel approach, called MotorEase, capable of identifying accessibility issues in mobile app UIs that impact motor-impaired users. Motor-impaired users often have limited ability to interact with touch-based devices, and instead may make use of a switch or other assistive mechanism -- hence UIs must be designed to support both limited touch gestures and the use of assistive devices. MotorEase adapts computer vision and text processing techniques to enable a semantic understanding of app UI screens, enabling the detection of violations related to

Author

Krishnavajjala, Arun; Mansur, SM Hasan; Jose, Justin; Moran, Kevin

Published

2024

Language

EN