Exploiting space and location as a design framework for interactive mobile systems
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction with mobile systems
Usability Engineering
Human-Computer Interaction
Understanding and Using Context
Personal and Ubiquitous Computing
User needs for location-aware mobile services
Personal and Ubiquitous Computing
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
Designing context-aware multimodal virtual environments
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Getting mobile with mobile devices: using the web to improve transit accessibility
Proceedings of the 2009 International Cross-Disciplinary Conference on Web Accessibililty (W4A)
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Understanding the space for co-design in riders' interactions with a transit service
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Investigating presentation of rail-specific spatial information on handheld computer screens
Personal and Ubiquitous Computing
MIMOSA: context-aware adaptation for ubiquitous web access
Personal and Ubiquitous Computing
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In this paper, we introduce and implement a model for context-aware interaction, and demonstrate its usefulness through an empirical study of interaction in a wayfinding task. Firstly, we outline the challenge of modeling context-awareness in dynamic interaction arising from wayfinding and navigation assistance applications. The conceptual model is developed and explained with emphasis on the context-aware interaction, and the three dynamic aspects in such interactions. Secondly, a wayfinding experiment is used to implement the conceptual model. We finish by concluding that the model proposed enables a dynamically inter-relational concept of context to be considered, and that the experiment described provides a valuable method for evaluating context-aware interaction in wayfinding.