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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

基本信息

批准号：
1909248
负责人：
Keith Vertanen
金额：
$ 22.57万
依托单位：
Michigan Technological 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=1909248&HistoricalAwards=false
关键词：
CHS Small Collaborative Research Improving

项目摘要

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。但对于有视觉障碍的人来说，撰写短信或浏览网页等基本任务可能会非常缓慢和困难。该项目的目标是开发易于使用的文本输入方法，使视力障碍人士能够以与视力正常的人相当的速度输入文本。该项目将为当今的标准文本输入方法（点击各个按键、跨按键做手势或通过语音听写）设计新的算法和反馈方法。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，通过为文本的不确定部分提供音频和视觉注释来帮助用户发现错误，并通过结合原始输入的概率信息、纠正和有关错误位置的近似信息来帮助用户纠正错误。改善盲人或弱视人士的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，该项目代表了为视力障碍者实现公平的重要一步。该项目将为可访问性和人机交互文献贡献新颖的界面设计。它将首先研究弱视者和盲人的文本输入可访问性，从而推进移动设备可访问性的最先进水平。接下来，研究人员将研究和开发易于使用的手势打字输入方法。最后，该项目将开发无障碍语音输入方法。该项目将制定设计指南、反馈方法、输入技术、识别算法、用户研究结果和软件原型，以指导针对盲人或弱视用户的研究和商业输入系统的改进。此外，该项目在纠错和修订过程中的工作将提高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 的法定使命，并通过使用基金会的智力价值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

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Dataset of Noisy Typing on QWERTY Keyboards

QWERTY 键盘上有噪音的打字数据集

DOI：
10.1145/3581754.3584174
发表时间：
2023
期刊：
Companion Proceedings of the 28th International Conference on Intelligent User Interfaces
影响因子：
0
作者：
Vertanen, Keith;Kristensson, Per Ola
通讯作者：
Kristensson, Per Ola

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
影响因子：
0
作者：
Gonzalez Penuela, Ricardo E.;Vermette, Paul;Yan, Zihan;Zhang, Cheng;Vertanen, Keith;Azenkot, Shiri
通讯作者：
Azenkot, Shiri

FlexType: Flexible Text Input with a Small Set of Input Gestures

FlexType：通过一小组输入手势实现灵活的文本输入

DOI：
10.1145/3581641.3584077
发表时间：
2023
期刊：
Proceedings of the 28th International Conference on Intelligent User Interfaces
影响因子：
0
作者：
Gaines, Dylan;Baker, Mackenzie M;Vertanen, Keith
通讯作者：
Vertanen, Keith

Enhancing the Composition Task in Text Entry Studies: Eliciting Difficult Text and Improving Error Rate Calculation

增强文本输入研究中的作文任务：引出困难的文本并改进错误率计算

DOI：
10.1145/3411764.3445199
发表时间：
2021
期刊：
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子：
0
作者：
Gaines, Dylan;Kristensson, Per Ola;Vertanen, Keith
通讯作者：
Vertanen, Keith