On-screen Keyboard Access Method to Reduce Workload

减少工作量的屏幕键盘访问方法

• 批准号: 8313484
• 负责人: THOMAS JAKOBS
• 金额: $ 15.54万
• 依托单位: INVOTEK, INC.
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-06 至 2014-03-05
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8313484
• 关键词: Algorithms; Authorization documentation; Communication; Computer software; Computers; Data; Devices; Disabled Persons; Education; Educational process of instructing; Effectiveness; Employment Opportunities; Evaluation; Eye Movements; Feasibility Studies; Gestures; Hand; Head Movements; Health Personnel; Internet; Judgment; Language; Letters; Life; Living Standards; Measures; Methods; Modeling; Monitor; Mus; Names; Online Systems; Operating System; Performance; Persons; Recreation; Research; Running; Savings; Self-Help Devices; Social Network; System; Tablets; Text; Time; Touch sensation; Training; Work; Workload; Writing; base; design; disability; improved; platform-independent; programs; prototype; satisfaction; touchscreen

DESCRIPTION (provided by applicant): We develop an integrated writing method named GWP that seamlessly switches between typing, word prediction, and predictive gesturing. Predictive gesturing enables a person to enter text by moving the mouse cursor toward a few letters in a word without requiring precise targeting of the letters or gestures towards all the letters in the desired word. Our preliminary work on predictive gesturing demonstrated that people with disabilities created text using 47% fewer precise letter selections than when using word prediction. We propose to improve our predictive gesture analysis algorithm so that it is more error tolerant. We incorporate our integrated writing method into an on-screen keyboard that operates within web-browsers and accesses cloud-based word processors. Developing a browser- based, on-screen keyboard provides access to a wide variety of devices, including smartphones, tablets, and computers. We will evaluate this writing method during real- life use by people with disabilities over a three month period. It is our hypothesis that assistive technology experts will rate GWP as the overall better method for entering text compared to word prediction for most people with disabilities. Experts will base their judgment on user data collected during the three month evaluation period. PUBLIC HEALTH RELEVANCE: The proposed research offers people with severe disability an efficient method for entering text into a broad range of computing devices that alleviates the need for repetitive, precise letter selections.

描述（由申请人提供）：我们开发了一种名为 GWP 的集成书写方法，可以在打字、单词预测和预测手势之间无缝切换。预测性手势使人们能够通过将鼠标光标移向单词中的几个字母来输入文本，而不需要精确定位这些字母或对所需单词中的所有字母进行手势。我们对预测手势的初步研究表明，与使用单词预测相比，残疾人在创建文本时使用的精确字母选择减少了 47%。我们建议改进我们的预测手势分析算法，使其更具容错性。我们将集成书写方法整合到屏幕键盘中，该键盘在网络浏览器中运行并访问基于云的文字处理器。开发基于浏览器的屏幕键盘可以访问各种设备，包括智能手机、平板电脑和计算机。我们将在三个月内评估残疾人在现实生活中使用这种书写方法的情况。我们的假设是，对于大多数残疾人来说，辅助技术专家会将 GWP 视为比单词预测更好的整体文本输入方法。专家将根据三个月评估期内收集的用户数据做出判断。 公共健康相关性：拟议的研究为患有严重残疾的人提供了一种将文本输入到各种计算设备中的有效方法，从而减少了重复、精确的字母选择的需要。