Deploying a personalized time management agent

  • Authors:
  • Pauline Berry;Bart Peintner;Ken Conley;Melinda Gervasio;Tomás Uribe;Neil Yorke-Smith

  • Affiliations:
  • Artificial Intelligence Center, Menlo Park, CA;Artificial Intelligence Center, Menlo Park, CA;Artificial Intelligence Center, Menlo Park, CA;Artificial Intelligence Center, Menlo Park, CA;Artificial Intelligence Center, Menlo Park, CA;Artificial Intelligence Center, Menlo Park, CA

  • Venue:
  • AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2006

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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 user's 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.