Comparison of Mobile Text Entry Methods

Author:

Cerney Melinda M.1,Mila Brian D.1,Hill Lewis C.1

Affiliation:

1. Human Computer Interaction Virtual Reality Applications Center Iowa State University, Ames, IA

Abstract

In this preliminary study, we tested a small group of users on their ability to perform common text input tasks using both standard and unfamiliar input devices: the standard QWERTY keyboard, an onscreen QWERTY keyboard on a Pocket PC, a letter recognition system on a Pocket PC, and a T9 text-input system on a cellular phone. We examined user performance, accuracy, and overall preference for the four input methods, and compared these results to the values predicted by Fitts' Law. Our findings suggest that the cognitive effort loads for each device had a strong impact on the amount of time required by users to input text, and that Fitts' Law methods do not accurately account for or predict values including cognitive load or skill transfer.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Cited by 2 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

1. LEDBoard: Using Visual Feedback to Support Text Entry with Physical Keyboards;Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022);2022-11-21

2. Use of predictive text in text messaging over the course of a year and its relationship with spelling, orthographic processing and grammar;Journal of Research in Reading;2016-05-10

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