A hybrid evaluation approach and guidance for mHealth education applications

Aljaber, Tareq; Gordon, Neil Andrew

School of Engineering and Computer Science; School of Engineering and Computer Science
Evaluation framework; Usability evaluation; Heuristic evaluation; Metrics
2018

Journal article


Rights
©2017 University of Hull
Abstract

Mobile health education applications (MHEAs) are used to support different users. However, although these applications are increasing in number, there is no effective evaluation framework to measure their usability and thus save effort and time for their many user groups. This paper outlines a useful framework for evaluating MHEAs, together with particular evaluation metrics: an efficient hybrid of selected heuristic evaluation (HE) and usability evaluation (UE) factors to enable the determination of the usefulness and usability of MHEAs. We also propose a guidance tool to help stakeholders choose the most suitable MHEA. The outcome of this framework is envisioned as meeting the requirements of different users, in addition to enhancing the development of MHEAs using software engineering approaches by creating new and more effective evaluation techniques. Finally, we present qualitative and quantitative results for the framework when used with MHEAs.

Publisher
The University of Hull
Peer reviewed
Yes
Language
English
Extent
476 KB
Identifier
hull:15543

Journal

Journal title
Advances in intelligent systems and computing
Publication date
2018
Publisher
Springer
DOI
10.1007/978-3-319-60492-3_27
ISSN (Electronic)
2194-5357
Volume
607
Start page
282
End page
290
Notes

This is the author's accepted version of Aljaber T., Gordon N. (2018) A Hybrid Evaluation Approach and Guidance for mHealth Education Applications. In: Ahram T., Falcão C. (eds) Advances in Usability and User Experience. AHFE 2017. Advances in Intelligent Systems and Computing, vol 607. Springer, Cham

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