Examining Mobile Tasks and Devices

Author:

Carey Karen1,Helfert Markus1,FitzPatrick Donal1

Affiliation:

1. School of Computing, Dublin City University, Dublin, Ireland

Abstract

As the mobile workforce expands and enterprise applications continue to evolve it is critical for software developers to target appropriate devices for their content. Not all applications are suitable for mobile deployment, for example if an application manipulates large amounts of spreadsheet data, it may result in low adoption rates and poor performance outcomes on a smartphone. This research provides a guideline to identify the most suitable device in yielding successful task performances from the user's perspective. The guideline couples the user's performance requirements associated with specific tasks, to the device whose performance most adheres to their requirements. Developers of enterprise applications can use this guideline to identify the most suitable devices to target for their content thus avoiding low adoption and poor usability associated with their application on unsuitable devices. To demonstrate the use of the guideline the authors applied it to a usability study, which focused on comparing user performance across devices. Application of the guideline resulted in a positive response in terms of improving representational user information required when targeting devices.

Publisher

IGI Global

Subject

Human-Computer Interaction

Reference30 articles.

1. Avanade. (2012). Global survey: Is big data producing big returns? Retrieved May 25, 2012, from http://www.avanade.com/Documents/Research%20and%20Insights/avanade-big-data-executive-summary-2012.pdf

2. Analysing the factors that effect information systems use: A task-technology metat analysis.;S.Cane;Journal of Computer Information Systems,2009

3. Extending the technology acceptance model with task–technology fit constructs

4. Gebauer, J., & Shaw, M. (2002). A theory of task-technology fit for mobile applications to support organisational processes. Working Paper at University of illinois at Urbana-Champaign.

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