Effects of instant messaging interruptions on computing tasks
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Models of attention in computing and communication: from principles to applications
Communications of the ACM
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Notification user interfaces
"Constant, constant, multi-tasking craziness": managing multiple working spheres
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
No task left behind?: examining the nature of fragmented work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Managing availability: Supporting lightweight negotiations to handle interruptions
ACM Transactions on Computer-Human Interaction (TOCHI)
Disruption and recovery of computing tasks: field study, analysis, and directions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Human-Computer Interaction
Self-interruption on the computer: a typology of discretionary task interleaving
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How and why pop-ups don't work: Pop-up prompted eye movements, user affect and decision making
Computers in Human Behavior
Sensing cognitive multitasking for a brain-based adaptive user interface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effects of time constraints on user behavior for deferrable interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Initial results from a study of the effects of meditation on multitasking performance
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Finding the right way for interrupting people improving their sitting posture
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Proceedings of Graphics Interface 2012
Back to the app: the costs of mobile application interruptions
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
Interleaving tasks to improve performance: Users maximise the marginal rate of return
International Journal of Human-Computer Studies
TaskGenies: Automatically Providing Action Plans Helps People Complete Tasks
ACM Transactions on Computer-Human Interaction (TOCHI)
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
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Recent research has found that forced interruptions at points of higher mental workload are more disruptive than at points of lower workload. This paper investigates a complementary idea: when users experience deferrable interruptions at points of higher workload, they may tend to defer processing of the interruption until times of lower workload. In an experiment, users performed a mail-browser primary task while being occasionally interrupted by a secondary chat task, evenly distributed between points of higher and lower workload. Analysis showed that 94% of the time, users switched to the interrupting task during periods of lower workload, versus only 6% during periods of higher workload. The results suggest that when interruptions can be deferred, users have a strong tendency to ''monotask'' until primary-task mental workload has been minimized.