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@InProceedings{2010/Faulring/Radar,
AUTHOR = {Faulring, Andrew and Myers, Brad and Mohnkern, Ken and Schmerl, Bradley and Steinfeld, Aaron and Zimmerman, John and Smailagic, Asim and Hansen, Jeffery and Siewioreck, Daniel},
TITLE = {Agent-Assisted Task Management that Reduces Email Overhead},
YEAR = {2010},
MONTH = {7-10 February},
BOOKTITLE = {Proceedings of the 14th International Conference on Intelligent User Interfaces},
PAGES = {61-70},
ADDRESS = {Hong Kong, China},
PUBLISHER = {ACM Press},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/radar-iui10.pdf},
ABSTRACT = {RADAR is a multiagent system with a mixed-initiative user
interface designed to help office workers cope with email
overload. RADAR agents observe experts to learn models
of their strategies and then use the models to assist other
people who are working on similar tasks. The agents’ assistance helps a person to transition from the normal email-centric workflow to a more efficient task-centric workflow.
The Email Classifier learns to identify tasks contained within emails and then inspects new emails for similar tasks. A
novel task-management user interface displays the found
tasks in a to-do list, which has integrated support for performing the tasks. The Multitask Coordination Assistant
learns a model of the order in which experts perform tasks
and then suggests a schedule to other people who are working on similar tasks. A novel Progress Bar displays the suggested schedule of incomplete tasks as well as the completed tasks. A large evaluation demonstrated that novice
users confronted with an email overload test performed
significantly better (a 37% better overall score with a factor
of four fewer errors) when assisted by the RADAR agents.
},
NOTE = {Honorable Mention Award in the Best Paper
Contest. DOI},
KEYWORDS = {RADAR}
}
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