了解盲人用户如何处理对象识别错误:策略和挑战
Jonggi Hong1, Hernisa Kacorri2
1Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA.
ASSETS. Annual ACM Conference on Assistive Technologies
|March 3, 2025
概括
盲人和视力低下的用户很难识别对象识别系统中的错误,即使使用各种策略. 改进可访问的界面设计对于有效使用辅助技术至关重要.
科学领域:
- 人与计算机的交互
- 辅助技术 辅助技术 辅助技术
- 计算机视觉 计算机视觉
背景情况:
- 对象识别技术有潜力帮助盲人和视力低下的人在日常导航中.
- 在基准测试中对象识别系统的性能与它们对最终用户的实际可用性之间存在很大的差距.
- 了解用户与这些系统的交互,特别是错误识别,对于改善可访问性至关重要.
研究的目的:
- 调查盲人和视力低下用户如何与物体识别系统互动,以识别和减轻错误.
- 在使用基于摄像头的辅助技术进行对象识别时,探索用户体验,挑战和策略.
- 收集见解,以设计更有效和更容易访问的接口,用于对象识别错误识别.
主要方法:
- 一项用户研究对12名盲人和视力低下的参与者进行了研究.
- 一个现有的物体识别系统,URCam,为实验进行了微调.
- 通过深入采访和实践错误识别任务收集数据.
主要成果:
- 参与者表示更喜欢独立的错误审查,并对错误识别表示担忧.
- 用户使用不同的视角,背景和对象大小来识别和克服错误.
- 参与者只发现了大约一半的错误,在重复任务时没有显著的改善.
结论:
- 盲人和视力低下的用户在对象识别系统中准确识别错误时面临重大挑战.
- 目前的错误识别率表明了技术和用户策略的局限性.
- 对设计的影响强调了需要可访问的接口,更好地支持用户检测和管理对象识别错误.
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