一句话：提出 MotorEase，自动检测移动应用 UI 中影响运动障碍用户的无障碍问题。
现有自动发现和修复软件无障碍问题的研究多集中于视觉或听觉障碍用户，对其他类型残障用户的工具支持不足。本文提出 MotorEase，目标是在移动应用 UI 中自动识别会影响运动障碍用户的无障碍问题。论文将运动障碍用户纳入自动化无障碍检测范围，试图弥补当前工作在该群体上的偏差。然而，给定摘要未描述具体检测技术、实现方式或实验评估，因此无法总结其方法细节、数据集、指标与结果。
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.
@inproceedings{paperbot11388,
title = {MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs},
author = {Arun Krishna Vajjala and S M Hasan Mansur and Justin Jose and Kevin Moran},
booktitle = {ICSE},
year = {2024},
doi = {10.1145/3597503.3639167}
}