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Publication Details
Deploying a Personalized Time Management Agent
by Berry, P. and Conley, K. and Gervasio, M. and Peintner, B. and Uribe, T. and Yorke-Smith, N.
in Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS06) Industrial Track pp. 1564-1571,
Address: Hakodate, Japan
May 2006.
Abstract
We report on our ongoing practical experience in designing, implementing, and deploying PTIME, a personalized agent for time management and meeting scheduling in an open, multi-agent environment. In developing PTIME as part of a larger assistive agent called CALO, we have faced numerous challenges, including usability, multi-agent coordination, scalable constraint reasoning, robust execution, and unobtrusive learning. Our research advances basic solutions to the fundamental problems; however, integrating PTIME into a deployed system has raised other important issues for the successful adoption of new technology. As a personal assistant, PTIME must integrate easily into a users real environment, support her normal workflow, respect her authority and privacy, provide natural user interfaces, and handle the issues that arise with deploying such a system in an open environment.
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Copyright ©©2006 ACM
Associated Projects
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Cognitive Assistant that Learns and OrganizesAs part of DARPAs Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO). |
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AIC Personnel
Name | Title | |
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Berry, Pauline M | Alumnus |
Conley, Kenneth W | Alumnus | |
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Gervasio, Melinda | Principal Scientist |
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Peintner, Bart | Sr. Computer Scientist |
Uribe, Tomas E | Computer Scientist | |
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Yorke-Smith, Neil | Computer Scientist |