Aspect-oriented approach for user interaction logging of iOS applications

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Mobile applications that don’t meet the users’ expectations regarding usability risk bad user feedbacks that lower the application’s download rate or the app will just be quietly ignored. In order to identify and improve major usability issues of a mobile application, data about the real user interaction in the actual mobile usage context needs to be gathered without disturbing the interaction environment. This paper presents an aspect-oriented approach for gathering user interaction data for iOS applications without any additional hardware. To that end, two libraries have been developed that track the user and system behavior, take screenshots, record user videos and collect GPS coordinates. The data can later be downloaded from the mobile device to third party tools for further analysis. A usability test with a sample application shows the possibilities of the implemented framework.

Cite

CITATION STYLE

APA

Kokemor, I., & Hutter, H. P. (2016). Aspect-oriented approach for user interaction logging of iOS applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9748, pp. 45–56). Springer Verlag. https://doi.org/10.1007/978-3-319-40406-6_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free