Usability inspection methods
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
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
Understanding, scoping and defining user experience: a survey approach
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Technology as Experience
Interactive usability instrumentation
Proceedings of the 1st ACM SIGCHI symposium on Engineering interactive computing systems
A Methodology and Framework to Simplify Usability Analysis of Mobile Applications
ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
LiveLab: measuring wireless networks and smartphone users in the field
ACM SIGMETRICS Performance Evaluation Review
AnonySense: A system for anonymous opportunistic sensing
Pervasive and Mobile Computing
Variation in importance of time-on-task with familiarity with mobile phone models
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SystemSens: a tool for monitoring usage in smartphone research deployments
MobiArch '11 Proceedings of the sixth international workshop on MobiArch
Proceedings of the 10th Brazilian Symposium on on Human Factors in Computing Systems and the 5th Latin American Conference on Human-Computer Interaction
Smartphone applications usability evaluation: a hybrid model and its implementation
HCSE'12 Proceedings of the 4th international conference on Human-Centered Software Engineering
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In the last decade, the HCI community has incorporated new perspectives in its studies regarding the elements necessary for mobile applications that satisfy their users. Due to the dynamicity of the mobile applications scenario, it is not easy to evaluate the user experience contemplating contextual aspects and usability together. Most attempts are simulations on controlled experiments, which do not consider contextual variations that occur in the real world scenario. Thus, this work presents the analysis of results found on an experiment conducted with 21 users of three mobile applications during six months to evaluate the user experience with applications on mobile devices. The experiment was a field research conducted with real users performing activities on their daily environments. To do so, we used an infrastructure designed to automatically capture quantitative, subjective, contextual data and user profiles regarding users' interactions with the mobile applications.