Quality is in the eye of the beholder: meeting users' requirements for Internet quality of service
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Measurement Based Modeling of Quality of Service in the Internet: A Methodological Approach
IWDC '01 Proceedings of the Thyrrhenian International Workshop on Digital Communications: Evolutionary Trends of the Internet
Using the Experience Sampling Method to Evaluate Ubicomp Applications
IEEE Pervasive Computing
Current practice in measuring usability: Challenges to usability studies and research
International Journal of Human-Computer Studies
Human-Computer Interaction (3rd Edition)
Human-Computer Interaction (3rd Edition)
CHI '07 Extended Abstracts on Human Factors in Computing Systems
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
The user in experimental computer systems research
Proceedings of the 2007 workshop on Experimental computer science
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
Anatomizing application performance differences on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Proceedings of the 8th international conference on Mobile systems, applications, and services
A generic quantitative relationship between quality of experience and quality of service
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
Application-oriented network metrology: metrics and active measurement tools
IEEE Communications Surveys & Tutorials
DataTraffic Monitoring and Analysis
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Mobile applications and services increasingly assist us in our daily life situations, fulfilling our needs for information, communication, entertainment or leisure. However, user acceptance of a mobile application depends on at least two conditions; the application's perceived Quality of Experience (QoE) and the appropriateness of the application to the user's situation and context. Yet, there is generally a weak understanding of a mobile user's QoE and the factors influencing it. The mobile user's experience is related to the Quality of Service (QoS) provided by the underlying service and network infrastructures, which provides a starting point for our work. We present "work-in-progress" results from an ongoing study of Android phone users. In this study, we aim to derive and improve understanding of their QoE in different situations and daily life environments. In particular, we evaluate the user's qualitative QoE for a set of widely used mobile applications in the users' natural environments and different contexts, and we analyze this experience and its relation to the underlying quantitative QoS. In our approach we collect both QoE and QoS measures through a combination of user, application and network input from mobile phones. We present initial data acquired in the study and derived from that, a set of preliminary implications for mobile applications design.