The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
System architecture directions for networked sensors
ACM SIGPLAN Notices
The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Examining mobile phone text legibility while walking
CHI '04 Extended Abstracts on Human Factors in Computing Systems
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
Capturing the effects of context on human performance in mobile computing systems
Personal and Ubiquitous Computing
Exploring context-awareness for ubiquitous computing in the healthcare domain
Personal and Ubiquitous Computing
An Autonomic Context Management System for Pervasive Computing
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
PersonisAD: distributed, active, scrutable model framework for context-aware services
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Journal of Systems and Software
A Meta-Analytical Review of Empirical Mobile Usability Studies
Journal of Usability Studies
On context-sensitive usability evaluation in mobile HCI
Journal of Mobile Multimedia
Designing and Evaluating Mobile Interaction: Challenges and Trends
Foundations and Trends in Human-Computer Interaction
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In usability evaluations, experiments are often conducted in closed laboratory situations to avoid disturbing influences. Due to non-realistic usage assumptions, this approach has important shortcomings when mobile Human Computer Interactions (m-HCI) have to be evaluated. Field studies allow to perform experiments close to real-world conditions, but potentially introduce influences caused by the environment. In this paper, we aim at distinguishing application shortcomings from environmental disturbances which both potentially cause decreased user performance. Our approach is based on monitoring environmental conditions during the usability experiment, such as light, acceleration, sound, temperature, and humidity, and relating them to user actions. Therefore, a mobile context-framework has been developed based on a small Wireless Sensor Network (WSN). First results are presented that point at increased delays and error rates of user tasks under induced environmental disturbances. Additionally, we demonstrate the potential of environmental monitoring for understanding user performance.