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|Title:||Generating tutorial interventions for teaching situation awareness in dental surgery – Preliminary report|
University of Bremen
|Citation:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.10607 LNAI, (2017), 69-74|
|Abstract:||© Springer International Publishing AG 2017. Situation awareness is known to be a critical skill in surgical decision making. While a few simulators have been developed to teach surgical decision making, none explicitly address teaching situation awareness skills. In this paper we present a knowledge representation framework that captures the key elements in reasoning about situation awareness. The framework makes use of concepts from AI planning and uses PDDL to represent surgical procedures. We describe tutorial feedback strategies identified in a preliminary observational study of endodontic surgery. We then present algorithms that implement these strategies using the knowledge representation framework. We show how the representation supports generating a number of tutorial interventions observed in teaching sessions by expert endodontic surgeons. We finally describe the contributions of our work.|
|Appears in Collections:||Scopus 2016-2017|
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