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的重要组成部分。但是，对于有视觉障碍的人来说，诸如撰写文本消息或浏览网络之类的基本任务可能会缓慢而困难。该项目的目的是开发可访问的文本输入方法，这将使视觉障碍的人能够以可与视力人士相当的速度输入文本。该项目将设计新的算法和反馈方法，以针对当今的标准文本输入方法敲击单个钥匙，跨密钥示意或通过语音指示的方法。该项目的目的是通过通过音频和触觉反馈启用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查找错误，并通过将原始输入，校正和近似信息位置的信息组合到概率信息中来帮助用户纠正错误。改善盲人或低视力的人的文本输入方法将使他们能够更有效地将其移动设备用于工作和休闲。因此，该项目代表了为有视觉障碍的人实现股权的重要步骤。该项目将为可访问性和人类计算机互动文献提供新颖的界面设计。首先，除了研究盲人之外，它将通过研究低视力的文本输入可访问性来提高移动设备可访问性的最新技术。接下来，研究人员将研究和开发可访问的手势键入输入方法。 最后，该项目将开发可访问的语音输入方法。 该项目将生成设计准则，反馈方法，输入技术，识别算法，用户研究结果以及软件原型，这些原型将指导针对盲人或低视频的用户的研究和商业输入系统的改进。此外，该项目在错误纠正和修订过程方面的工作将改善每个人的触摸屏和语音输入方法的可用性和性能。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响来评估的评估值得支持的。

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