Uncertainty in Artificial Intelligence
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Display of Information for Time-Critical Decision Making
Eric Horvitz, Matthew Barry
Abstract:
We describe methods for managing the complexity of information displayed to people responsible for making high-stakes, time-critical decisions. The techniques provide tools for real-time control of the configuration and quantity of information displayed to a user, and a methodology for designing flexible human-computer interfaces for monitoring applications. After defining a prototypical set of display decision problems, we introduce the expected value of revealed information (EVRI) and the related measure of expected value of displayed information (EVDI). We describe how these measures can be used to enhance computer displays used for monitoring complex systems. We motivate the presentation by discussing our efforts to employ decision-theoretic control of displays for a time-critical monitoring application at the NASA Mission Control Center in Houston.
Keywords: Human-computer interface, time-critical reasoning, decision-theoretic inference, dis
Pages: 296-305
PS Link: http://www.research.microsoft.com/research/dtg/horvitz/VISTA.HTM
PDF Link: /papers/95/p296-horvitz.pdf
BibTex:
@INPROCEEDINGS{Horvitz95,
AUTHOR = "Eric Horvitz and Matthew Barry",
TITLE = "Display of Information for Time-Critical Decision Making",
BOOKTITLE = "Proceedings of the Eleventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-95)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1995",
PAGES = "296--305"
}


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