UMEA: translating interaction histories into project contexts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation and analysis of users' activity organization
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Visualization: Perception for Design
Information Visualization: Perception for Design
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Sphere Juggler: Fast Context Retrieval in Support of Working Spheres
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
CAAD: an automatic task support system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 1st Workshop on Context, Information and Ontologies
Real-time detection of task switches of desktop users
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hierarchical task instance mining in interaction histories
Proceedings of the 29th ACM international conference on Design of communication
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
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Interaction histories have been identified as a promising direction to support information workers in the execution of their work processes. However, to increase the workers' awareness about the structure of their work and to help them with the execution of their work processes, a suitable visualization is necessary. Up to now, interaction histories have typically been visualized with the classical Gantt, bar or line charts, neglecting the information contained in links between the individual items in an interaction history. Moreover, clear and empirically grounded guidance for the choice of the visualization is currently lacking. We present two graph-based visualizations for interaction histories and evaluate them against the classical visualizations in a controlled experiment. From the results, we derive a set of recommendations for the visualizations best suited for the different tasks within information workers' work processes.