IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Appropriating Heuristic Evaluation Methods for Mobile Computing

Appropriating Heuristic Evaluation Methods for Mobile Computing
View Sample PDF
Author(s): Enrico Bertini (DIUF - University of Fribourg, Switzerland), Tiziana Catarci (University of Rome “La Sapienza”, Italy), Alan Dix (Lancaster University, UK), Silvia Gabrielli (University of Udine, Italy), Stephen Kimani (Jomo Kenyatta University of Agriculture and Technology, Kenya)and Giuseppe Santucci (University of Rome “La Sapienza”, Italy)
Copyright: 2008
Pages: 22
Source title: Handbook of Research on User Interface Design and Evaluation for Mobile Technology
Source Author(s)/Editor(s): Joanna Lumsden (Glasgow Caledonian University)
DOI: 10.4018/978-1-59904-871-0.ch046

Purchase

View Appropriating Heuristic Evaluation Methods for Mobile Computing on the publisher's website for pricing and purchasing information.

Abstract

Heuristic evaluation has proven popular for desktop and Web interfaces, both in practical design and as a research topic. Compared to full user studies, heuristic evaluation can be highly cost-effective, allowing a large proportion of usability flaws to be detected ahead of full development with limited resource investment. Mobile computing shares many usability issues with more conventional interfaces. However, it also poses particular problems for usability evaluation related to aspects such as limited screen real estate, intermittent user attention, and contextual factors. This chapter describes a modified collection of usability heuristics that are designed to be appropriate for evaluation in mobile computing. They have been systematically derived from extensive literature and empirically validated. They therefore offer a sound basis for heuristic-based evaluation in mobile computing. Besides introducing the reader to the practical use of heuristic evaluation, the chapter also closes with a description of potential future research in the area.

Related Content

Tapan Kumar Behera. © 2023. 20 pages.
B. Narendra Kumar Rao. © 2023. 17 pages.
Blendi Rrustemi, Deti Baholli, Herolind Balaj. © 2023. 18 pages.
Alma Beluli. © 2023. 11 pages.
Jona Ndrecaj, Shkurte Berisha, Erita Çunaku. © 2023. 15 pages.
Yllka Totaj. © 2023. 12 pages.
Hla Myo Tun, Devasis Pradhan. © 2023. 31 pages.
Body Bottom