Reasoning about interaction for hospital decision making

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For our research, we present a model for reasoning about interaction in dynamic, time critical scenarios (such as decision making for hospital emergency room scenarios). In particular, we are concerned with how to incorporate a model of the possible bother generated when asking a user, to weigh this in as a cost of interaction, compared to the benefit derived from asking the user with the highest expected quality of decision. A detailed method for modeling user bother is presented in Cheng [1], which includes reasoning about interaction (partial transfers of control or PTOCs) as well as about full transfers of control of the decision making (FTOCs) to another entity. Distinct from Cheng's original model, attempts at FTOCs are in framed as PTOCs with the question Q: "Can you take over the decision making?". This then enables either a "yes" response, which results in an FTOC or a "no" response or silence.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence - 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Proceedings
Pages414-415
Number of pages2
DOIs
StatePublished - 2010
Event23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010 - Ottawa, ON, Canada
Duration: 31 May 20102 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6085 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010
Country/TerritoryCanada
CityOttawa, ON
Period31/05/102/06/10

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