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Detecting usability problems in mobile applications on the basis of dissimilarity in user behavior

Authors
Jeong, JongWookKim, NeungHoeIn, Hoh Peter
Issue Date
7월-2020
Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Keywords
Usability; Usability testing; Behavior modeling
Citation
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, v.139
Indexed
SCIE
SSCI
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
Volume
139
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/54908
DOI
10.1016/j.ijhcs.2019.10.001
ISSN
1071-5819
Abstract
Usability is one of the critical success factors for mobile applications. However, usability is not easy to improve. Many usability testing studies have been conducted to detect usability problems easily, however they usually carry a substantial cost and require specific expertise. In this paper, we present methods and tools to detect usability problems effectively via usability testing in mobile application. We expect users to interact with mobile applications in dissimilar ways when encountering usability problems. Based on this approach, we propose tracing, modeling and comparing methods for measuring the similarity of user behaviors. We evaluate the similarity of user behavior and use it in detecting problems. In addition, we developed tools for our methods to run in automatic way to save usability testing costs. An experiment was conducted using two mobile applications to confirm that our proposed method is useful. We tested eight tasks and found lower similarity when users encountered a usability problem. The experimental results show that our methods and tools can help find usability problems in mobile applications.
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