Shortcut Gestures for Mobile Text Editing on Fully Touch Sensitive Smartphones

Author:

Le Huy Viet1ORCID,Mayer Sven2,Weiß Maximilian1,Vogelsang Jonas1,Weingärtner Henrike1,Henze Niels3

Affiliation:

1. University of Stuttgart, Pfaffenwaldring, Stuttgart, Baden-Württemberg, Germany

2. Carnegie Mellon University, Forbes Ave, Pittsburgh, PA

3. University of Regensburg, Bayern, Germany

Abstract

While advances in mobile text entry enable smartphone users to type almost as fast as on hardware keyboards, text-heavy activities are still not widely adopted. One reason is the lack of shortcut mechanisms. In this article, we determine shortcuts for text-heavy activities, elicit shortcut gestures, implement them for a fully touch-sensitive smartphone, and conduct an evaluation with potential users. We found that experts perform around 800 keyboard shortcuts per day, which are not available on smartphones. Interviews revealed the lack of shortcuts as a major limitation that prevents mobile text editing. Therefore, we elicited gestures for the 22 most important shortcuts for smartphones that are touch-sensitive on the whole device surface. We implemented the gestures for a fully touch-sensitive smartphone using deep learning and evaluated them in realistic scenarios to gather feedback. We show that the developed prototype is perceived as intuitive and faster than recent commercial approaches.

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

Reference114 articles.

1. AppMonitor: A tool for recording user actions in unmodified Windows applications

2. Structured pruning of deep convolutional neural networks;Anwar Sajid;Journal on Emerging Technologies in Computing Systems,2017

3. Design and evaluation of a layered handheld 3d display with touch-sensitive front and back

Cited by 13 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