TY - GEN
T1 - Automated and unsupervised user interaction logging as basis for usability evaluation of mobile applications
AU - Lettner, Florian
AU - Holzmann, Clemens
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - The evaluation of mobile user interfaces can be a tedious task, especially if usability tests under real-world conditions should be performed. In particular, the evaluation of high-fidelity prototypes provides valuable measures about the quality of mobile applications, which helps designers to identify potentials of improvement for the next revision. Due to their costs or missing expert knowledge evaluation techniques such as cognitive walkthroughs or heuristic evaluation are often not used. Additionally, commercial frameworks provide insufficient details on usability as they only address commercial statistics regarding user loyalty, in-app purchases or demographics. In this paper, we present a novel approach and toolkit for automated and unsupervised evaluation of mobile applications that, in contrast to existing frameworks, is able to trace any user interaction during the entire lifecycle of an application. As a major novelty, our toolkit can be added to mobile applications without changing application source code, which makes it flexible and scalable for all types of applications. Also, our toolkit is able to identify and visualize design flaws such as navigational errors or efficiency for mobile applications.
AB - The evaluation of mobile user interfaces can be a tedious task, especially if usability tests under real-world conditions should be performed. In particular, the evaluation of high-fidelity prototypes provides valuable measures about the quality of mobile applications, which helps designers to identify potentials of improvement for the next revision. Due to their costs or missing expert knowledge evaluation techniques such as cognitive walkthroughs or heuristic evaluation are often not used. Additionally, commercial frameworks provide insufficient details on usability as they only address commercial statistics regarding user loyalty, in-app purchases or demographics. In this paper, we present a novel approach and toolkit for automated and unsupervised evaluation of mobile applications that, in contrast to existing frameworks, is able to trace any user interaction during the entire lifecycle of an application. As a major novelty, our toolkit can be added to mobile applications without changing application source code, which makes it flexible and scalable for all types of applications. Also, our toolkit is able to identify and visualize design flaws such as navigational errors or efficiency for mobile applications.
KW - mobile interfaces
KW - software toolkit
KW - usability metrics
UR - http://www.scopus.com/inward/record.url?scp=84873424782&partnerID=8YFLogxK
U2 - 10.1145/2428955.2428983
DO - 10.1145/2428955.2428983
M3 - Conference contribution
SN - 9781450313070
T3 - ACM International Conference Proceeding Series
SP - 118
EP - 127
BT - 10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012 - Proceedings
PB - ACM Press
T2 - 10th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2012
Y2 - 3 December 2012 through 5 December 2012
ER -