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A Hybrid Evaluation Approach and Guidance for mHealth Education Applications

Gordon, Neil; Aljaber, Tareq

Abstract

© Springer International Publishing AG 2018. 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.

Journal Article Type Conference Paper
Publication Date 2018
Journal Advances in intelligent systems and computing
Print ISSN 2194-5357
Electronic ISSN 2194-5365
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 607
Pages 282-290
Book Title Advances in Intelligent Systems and Computing; Advances in Usability and User Experience
ISBN 9783319604916; 9783319604923
DOI https://doi.org/10.1007/978-3-319-60492-3_27
Keywords Evaluation framework, Usability evaluation, Heuristic evaluation, Metrics
Publisher URL https://link.springer.com/chapter/10.1007/978-3-319-60492-3_27

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