Data Entry Performance as a Function of Method and Instructional Strategy

Author:

Gade Paul A.1,Fields Alison F.1,Maisano Richard E.1,Marshall Charles F.1,Alderman Irving N.1

Affiliation:

1. U.S. Army Research Institute for the Behavioral and Social Sciences

Abstract

In Experiment 1, a response-sensitive instructional strategy was compared to three traditional, linear, instructional strategies for use in an embedded training program designed for manual data entry operators in the Army Tactical Operations System command and control system. Results showed that using a response-sensitive strategy can reduce training time without reducing inputting accuracy in a post-training test given in an operational setting. Experiment 2 examined the relative efficiency of [our different manual data entry methods: typing; typing with an error corrector; selecting from menus; and typing with autocompletion and an English option. Results show that selecting from menus is the most accurate inputting method. No differences were found in entry times among the methods, although participants may not have had sufficient practice for such differences to materialize. Results also showed little agreement between preference and performance for the methods.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

Cited by 11 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. Choosing Input Field Formats for Use by Sales Personnel;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2001-10

2. Visual Display Units;The Physical Environment;1992

3. Chapter 12 User interfaces;Handbooks in Operations Research and Management Science;1992

4. Including a user interface management system (UIMS) in the performance relationship model;ACM SIGCHI Bulletin;1989-04

5. 7. Human Computer Interaction;Advances in Psychology;1987

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