Factors influencing quality of experience of commonly used mobile applications

Increasingly, we use mobile applications and services in our daily life activities, to support our needs for information, communication or leisure. However, user acceptance of a mobile application depends on at least two conditions: the application's perceived experience, and the appropriateness of the application to the user's context and needs. However, we have a weak understanding of a mobile user's quality of experience (QoE) and the factors influencing it. This article presents a 4-week-long 29-Androidphone- user study, where we collected both QoE and the underlying network's quality of service measurements through a combination of user, application, and network data on the user's phones. We aimed to derive and improve the understanding of users' QoE for a set of widely used mobile applications in users' natural environments and different daily contexts. We present data acquired in the study and discuss implications for mobile applications design.

[1]  Serge Fdida,et al.  Measurement Based Modeling of Quality of Service in the Internet: A Methodological Approach , 2001, IWDC.

[2]  Xiaodong Liu,et al.  Recognize contextual situation in pervasive environments using process mining techniques , 2011, J. Ambient Intell. Humaniz. Comput..

[3]  Selim Ickin,et al.  Studying the experience of mobile applications used in different contexts of daily life , 2011, W-MUST '11.

[4]  ShinBongsik,et al.  Examining influencing factors of post-adoption usage of mobile internet , 2010 .

[5]  M. Csíkszentmihályi,et al.  Experience Sampling Method: Measuring the Quality of Everyday Life , 2006 .

[6]  Kaisa Väänänen,et al.  Analysing user experience of personal mobile products through contextual factors , 2010, MUM.

[7]  Jaehyun Park,et al.  Developing Elements of User Experience for Mobile Phones and Services: Survey, Interview, and Observation Approaches , 2013 .

[8]  Marc Hassenzahl,et al.  User experience - a research agenda , 2006, Behav. Inf. Technol..

[9]  W. Buxton Human-Computer Interaction , 1988, Springer Berlin Heidelberg.

[10]  Peter Fröhlich,et al.  The LiLiPUT prototype: a wearable lab environment for user tests of mobile telecommunication applications , 2007, CHI Extended Abstracts.

[11]  Johan Koolwaaij,et al.  Grounded Contextual Reasoning enabling Innovative Mobile Services , 2005 .

[12]  Bongsik Shin,et al.  Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes , 2010, Inf. Syst. Frontiers.

[13]  D. Kahneman,et al.  A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method , 2004, Science.