A model for reasoning about interaction with users in dynamic, time critical environments for the application of hospital decision making

  • Authors:
  • Hyunggu Jung;Robin Cohen

  • Affiliations:
  • Cheriton School of Computer Science, University of Waterloo;Cheriton School of Computer Science, University of Waterloo

  • Venue:
  • AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
  • Year:
  • 2010

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Abstract

In this paper, we present a model for reasoning about interaction with users in dynamic, time critical environments in a way that is sensitive to the cost of bother We project the model into the scenario of decision making in hospital emergency room settings, providing a framework for modeling the doctors in that environment, to determine whom to ask to attend to a current patient A simulation of our model demonstrates that it offers valuable improvements due to its reasoning about bother.