Work rhythms: analyzing visualizations of awareness histories of distributed groups
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
A finger on the pulse: temporal rhythms and information seeking in medical work
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
What a to-do: studies of task management towards the design of a personal task list manager
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning patterns of pick-ups and drop-offs to support busy family coordination
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comparison study of user behavior on Facebook and Gmail
Computers in Human Behavior
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We describe the use of a statistical technique called T-pattern analysis to derive and characterize the routineness of tasks. T-patterns provide significant advantages over traditional sequence analyses by incorporating time. A T-pattern is characterized by a significant time window (critical interval) that describes the duration of this pattern. Our analysis is based on data collected from shadowing 10 knowledge workers over a total of 29 entire work days. We report on the statistics of detected T-patterns and derived correlations with participant perceptions of workload, autonomy, and productivity.