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Carnegie Mellon Robotics Institute

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Abstract

We are designing, implementing, and testing the user interface for RADAR (Reflective Agents with Distributed Adaptive Reasoning), which is a large multi-agent system that uses learning to help office workers cope with email overload and to complete routine tasks more efficiently. RADAR provides a mixed-initiative user interface in which artificial intelligence helps users perform the tasks that arrive in email messages. A large-scale user test of RADAR demonstrated the effectiveness of its user interface and AI.

Keywords

Task management, forms, form filling, anchors, intelligent user interfaces, agents, RADAR

Notes

Sponsor: DARPA

Grant ID: NBCHD030010

Associated Center(s) / Consortia: Vision and Autonomous Systems Center, Quality of Life Technology Center, and Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Intelligent Coordination and Logistics Laboratory and Human-Robot Interaction Group

Associated Project(s): Reflective Agents with Distributed Adaptive Reasoning

Text Reference

Andrew Faulring, Ken Mohnkern, Aaron Steinfeld, and Brad A. Myers, "Successful User Interfaces for RADAR," CHI 2008 Workshop on Usable Artificial Intelligence, 2008.

BibTeX Reference

@inproceedings{Steinfeld_2008_5989,
   author = "Andrew Faulring and Ken Mohnkern and Aaron Steinfeld and Brad A Myers",
   title = "Successful User Interfaces for RADAR",
   booktitle = "CHI 2008 Workshop on Usable Artificial Intelligence",
   year = "2008",
}

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