Understanding and Using Context
Personal and Ubiquitous Computing
CybreMinder: A Context-Aware System for Supporting Reminders
HUC '00 Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing
Motorcycling and social interaction: design for the enjoyment of brief traffic encounters
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
Comparing two approaches to context: realism and constructivism
Proceedings of the 4th decennial conference on Critical computing: between sense and sensibility
Acoustic environment as an indicator of social and physical context
Personal and Ubiquitous Computing
More than meets the eye: an exploratory study of context photography
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Capturing the effects of context on human performance in mobile computing 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
A diary study of mobile information needs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context-aware photo selection for promoting photo consumption on a mobile phone
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Seeking a foundation for context-aware computing
Human-Computer Interaction
Toward a multidisciplinary model of context to support context-aware computing
Human-Computer Interaction
Understanding and prediction of mobile application usage for smart phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
What we talk about when we talk about context
Personal and Ubiquitous Computing
Personal and Ubiquitous Computing
Framing the Context of Use for Mobile HCI
International Journal of Mobile Human Computer Interaction
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This paper develops a classification of mobile interactions based on contextual information relevant to the mobile device user in journeys. Context-aware systems can be used to reduce the stress involved, support users in their activities and increase utility of travel time. But context is often portrayed as real, stable and structured, which can limit the value of applications as they lack dynamics and relevancy. This paper aims to classify mobile interactions in journeys by adopting an alternative view of context. It is argued that sensing less contextual information can be more valuable providing the most relevant information to the user can be identified. Context is explored using qualitative approaches that investigate user interactions during end-to-end journeys. The resulting classification serves as a basis for understanding mobile interactions and it assists designers and HCI practitioners to develop improved context-aware application.