CHS: Small: Collaborative Research: Improving Mobile Device Input for Users who are Blind or Low Vision

CHS：小型：协作研究：改善盲人或低视力用户的移动设备输入

• 批准号: 1909930
• 负责人: Shiri Azenkot
• 金额: $ 27.4万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909930&HistoricalAwards=false
• 关键词: CHS; Small; Collaborative; Research; Improving

Smartphones are an essential part of everyday life. But for people with visual impairments, basic tasks like composing text messages or browsing the web can be prohibitively slow and difficult. The goal of this project is to develop accessible text entry methods that will enable people with visual impairments to enter text at rates comparable to sighted people. This project will design new algorithms and feedback methods for today's standard text entry approaches of tapping on individual keys, gesturing across keys, or dictating via speech. The project aims to help users avoid errors by enabling more accurate input via audio and tactile feedback, help users find errors by providing audio and visual annotation of uncertain portions of the text, and help users correct errors by combining the probabilistic information from the original input, the correction, and approximate information about an error's location. Improving text entry methods for people who are blind or have low vision will enable them to use their mobile devices more effectively for work and leisure. Thus, this project represents an important step to achieving equity for people with visual impairments. This project will contribute novel interface designs to the accessibility and human-computer interaction literature. It will advance the state-of-the-art in mobile device accessibility by, first, studying text entry accessibility for low vision in addition to blind people. Next, the researchers will study and develop accessible gesture typing input methods. Finally, the project will develop accessible speech input methods. This project will produce design guidelines, feedback methods, input techniques, recognition algorithms, user study results, and software prototypes that will guide improvements to research and commercial input systems for users who are blind or low-vision. Further, the project's work on the error correction and revision process will improve the usability and performance of touchscreen and speech input methods for everyone.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

智能手机是日常生活中必不可少的一部分。但对于视力有障碍的人来说，撰写短信或浏览网页等基本任务可能会慢得令人望而却步，而且难度很大。这个项目的目标是开发可访问的文本输入方法，使视力障碍的人能够以与视力正常的人相当的速度输入文本。这个项目将为今天的标准文本输入方法设计新的算法和反馈方法，这些方法包括轻敲单独的键、跨键打手势或通过语音听写。该项目旨在通过音频和触觉反馈实现更准确的输入来帮助用户避免错误，通过提供文本不确定部分的音频和视觉注释来帮助用户找到错误，并通过结合原始输入的概率信息、更正和关于错误位置的大致信息来帮助用户纠正错误。为盲人或低视力者改进文本输入方法，将使他们能够更有效地使用移动设备进行工作和休闲。因此，这个项目代表着为视力障碍者实现平等的重要一步。该项目将为无障碍和人机交互文献提供新颖的界面设计。它将推动移动设备无障碍方面的最先进水平，首先，除了盲人之外，还将研究针对视力低下的文本输入无障碍。接下来，研究人员将研究和开发可访问的手势打字输入法。最后，该项目将开发无障碍语音输入法。该项目将产生设计指南、反馈方法、输入技术、识别算法、用户研究结果和软件原型，以指导盲人或低视力用户改进研究和商业输入系统。此外，该项目在纠错和修改过程中的工作将提高触摸屏和语音输入方法的可用性和性能。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Understanding How People with Visual Impairments Take Selfies: Experiences and Challenges

了解视障人士如何自拍：经验与挑战

• DOI: 10.1145/3517428.3550372
• 发表时间: 2022
• 期刊: 24th International ACM SIGACCESS Conference on Computers and Accessibility
• 作者: Gonzalez Penuela, Ricardo E.;Vermette, Paul;Yan, Zihan;Zhang, Cheng;Vertanen, Keith;Azenkot, Shiri
• 通讯作者: Azenkot, Shiri