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Reasoning about Interaction for Hospital Decision Making

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 6085)

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.

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References

  1. Cheng, M., Cohen, R.: A hybrid transfer of control model for adjustable autonomy multiagent systems. In: Proceedings of AAMAS 2005 (2005)

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  2. Horvitz, E., Apacible, J.: Learning and reasoning about interruption. In: Proceedings of the 5th International Conference on Multimodal Interfaces (ICMI 2003), pp. 20–27 (2003)

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© 2010 Springer-Verlag Berlin Heidelberg

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Jung, H. (2010). Reasoning about Interaction for Hospital Decision Making. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_60

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  • DOI: https://doi.org/10.1007/978-3-642-13059-5_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13058-8

  • Online ISBN: 978-3-642-13059-5

  • eBook Packages: Computer ScienceComputer Science (R0)