Ally: Understanding Text Messaging to Build a Better Onscreen Keyboard for Blind People

Author:

Lottridge Danielle1ORCID,Yoon Chris2ORCID,Burton Darren2ORCID,Wang Chester2ORCID,Kaye Jofish3ORCID

Affiliation:

1. University of Auckland, Auckland, New Zealand

2. Yahoo! Inc., Sunnyvale, California, USA

3. Mozilla, Mountain View, CA, USA

Abstract

Millions of people worldwide use smartphones every day, but the standard issue QWERTY keyboard is poorly optimized for non-sighted input. In this article, we document the variety of methods blind people use to enter text into their smartphones, and focus on one particular need: sending text messages. We analyze two modern corpora of text messages and contrast them with an older text message corpus, as well as other corpora gathered from news articles, chat rooms, and books. We present a virtual keyboard for blind people optimized for sending text messages called Ally. To evaluate Ally, we conducted two user studies with blind participants. Our first study found increasing speeds and our second study found that half of participants reached comparable speeds to QWERTY, suggesting it may be a viable replacement. We conclude with a discussion of future work for non-sighted text-entry of text messages.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Human-Computer Interaction

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3