This paper reports on initial work in the identification of heuristics that may be most usefully applied in the heuristic evaluation of native smartphone applications. Given the prevalence of such applications, this work seems pertinent, particularly as it also seems under-represented in the literature. Once defined, the heuristics were developed further based on the quantitative and qualitative feedback received from sixty Human-Computer Interaction experts in eighteen countries. The resulting heuristics could be beneficial to HCI researchers and educators, and could also potentially expedite and cut the cost of smartphone application usability evaluations for HCI practitioners.
Many traditional usability evaluation methods do not consider mobile-specific issues. This can result in mobile applications that abound in usability issues. We empirically evaluate three sets of usability heuristics for use with mobile applications, including a set defined by the authors. While the set of heuristics defined by the authors surface more usability issues in a mobile application than other sets of heuristics, improvements to the set can be made.
Abstract. The Heuristic Evaluation method has been popular with HCI experts for over 20 years. Yet, we believe that the set of heuristics defined by Nielsen in 1994 needs to be modified prior to the usability evaluation of smartphone applications. In this paper, we investigate the applicability of each of Nielsen's traditional heuristics to the usability evaluation of smartphone applications following an analysis of 105 peer-reviewed papers. It is anticipated that this work might benefit HCI practitioners, educators and researchers as they attempt to define usability heuristics for smartphone applications. This set of heuristics, once defined, could enable the discovery of usability issues early in the smartphone application development life cycle, while continuing to be a discount usability engineering method as originally defined by Nielsen.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.