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A context-aware personal desktop assistant

Published: 12 May 2008 Publication History

Abstract

We demonstrate an intelligent personal assistant agent that has been developed to aid a busy knowledge worker in managing time commitments and performing tasks. The PExA agent draws on a diverse set of AI technologies that are linked within the SPARK BDI agent framework. We focus on our agent's ability to provide assistance within the context of current user activities, based on its recognition of user workflows and their progress, and on its context-sensitive proactive suggestions. We have instrumented a common suite of desktop applications so that, endowed with a sophisticated workflow tracker, PExA has the ability to pervasively monitor the user's desktop activities. PExA follows and responds to the user's progress on shared tasks, and is highly user-centric in its support for user needs and its adaptivity to user working style and preferences.

References

[1]
E. Horvitz. Principles of mixed-initiative user interfaces. In Proc. of CHI-99, pages 159--166, Pittsburgh, PA, 1999.
[2]
K. Myers, et. al. An intelligent personal assistant for task and time management. AI Magazine, 28(2):47--61, 2007.
[3]
K. Kersting, L. De Raedt, and T. Raiko. Logical Hidden Markov Models. Journal of Artificial Intelligence Research, 25:425--456, 2006.
[4]
H. Lieberman and T. Selker. Out of context. IBM Systems Journal, 39(3--4):617--632, 2000.
[5]
D. Morley and K. Myers. The SPARK agent framework. In Proc. of AAMAS '04, pages 714--721, New York, NY, 2004.

Cited By

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  • (2015)Architectures for Activity Recognition and Context‐Aware ComputingAI Magazine10.1609/aimag.v36i2.257836:2(3-9)Online publication date: 1-Jun-2015

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cover image ACM Conferences
AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
May 2008
116 pages

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 12 May 2008

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Author Tags

  1. CALO
  2. activity recognition
  3. integrated cognition
  4. proactive assistance

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  • Research-article

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AAMAS08
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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2015)Architectures for Activity Recognition and Context‐Aware ComputingAI Magazine10.1609/aimag.v36i2.257836:2(3-9)Online publication date: 1-Jun-2015

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