An approach to large-scale collection of application usage data over the Internet
Proceedings of the 20th international conference on Software engineering
Extracting usability information from user interface events
ACM Computing Surveys (CSUR)
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
Usability Engineering
ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
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
User experience evaluation of Post-Traumatic Mobile Service: a case study
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
Data logging plus e-diary: towards an online evaluation approach of mobile service field trial
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Remote and Autonomous Studies of Mobile and Ubiquitous Applications in Real Contexts
International Journal of Mobile Human Computer Interaction
Sharing Stories “in the Wild”: A Mobile Storytelling Case Study Using StoryKit
ACM Transactions on Computer-Human Interaction (TOCHI) - Special Issue of “The Turn to The Wild”
Proceedings of the 19th Brazilian symposium on Multimedia and the web
| Hi-index | 0.01 |
It is widely discussed whether the usefulness of mobile systems and services should be evaluated in the field or in the lab. The aim of this paper is to make a case for conducting longitudinal field trials when evaluating the usefulness of mobile services, and to partly base such evaluations on quantitative usage data automatically captured on the device. A framework for automatic capture and analysis of such data is introduced, and it is shown how it has been used to evaluate a mobile service for diabetes management. Results and experiences based on a three month field trial with a single diabetic user is presented and it is demonstrated how these results can be used to make inferences about the use of the service with regard to functionality and usage patterns.