Examining the robustness of sensor-based statistical models of human interruptibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
If not now, when?: the effects of interruption at different moments within task execution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bayesphone: precomputation of context-sensitive policies for inquiry and action in mobile devices
UM'05 Proceedings of the 10th international conference on User Modeling
"Are you watching this film or what?": interruption and the juggling of cohorts
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Studying and tackling temporal challenges in mobile HCI
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Temporality in interaction design
DPPI '11 Proceedings of the 2011 Conference on Designing Pleasurable Products and Interfaces
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Interruption management research has focused on identifying the costs of cognitive and social intrusion, largely without considering either who the interruption is from or what the interruption is about. The framework outlined in this paper addresses this issue, proposing a systematic investigation of how such rich contextual knowledge (who/what) can alter people's decision to be interrupted. The first study on interruption management practices in everyday cell phone use demonstrates that the knowledge of "who" is calling is used in deliberate call handling decisions 77.8% of the time (N=880) and that effective call handling decisions rules cannot be derived solely from an interruptee's local social and cognitive context. Two further studies are outlined that will inform the design of interruption management tools for communication media.