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Heuristic Evaluation on M-Learning Applications: A Comparative Analysis of Two Heuristic Sets
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Author(s): Christofer Ramos (Universidade do Estado de Santa Catarina, Brazil), Flávio Anthero Nunes Vianna dos Santos (Universidade do Estado de Santa Catarina, Brazil)and Monique Vandresen (Universidade do Estado de Santa Catarina, Brazil)
Copyright: 2017
Pages: 18
Source title:
Mobile Platforms, Design, and Apps for Social Commerce
Source Author(s)/Editor(s): Jean-Éric Pelet (ESCE International Business School, Paris, France)
DOI: 10.4018/978-1-5225-2469-4.ch003
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Abstract
Heuristic evaluation stands out among the usability evaluation methods regarding its benefits related to time and costs. Nevertheless, generic heuristic sets require improvements when it comes to specific interfaces as seen on m-learning applications that have acquired considerable evidence within the current technologic context. Regarding the lack of studies aimed at interfaces of this sort, the authors propose, through a systematic methodology, the comparative study between a heuristic set specific to the assessment on e-learning interfaces and other, on mobile. The identified usability problems were matched with the aspects of coverage, distribution, redundancy, context and severity, in a way that it was possible to understand the efficiency of each set in covering m-learning issues. Among the findings, e-learning's heuristic set could detect a larger number of usability problems not found by mobile's.
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