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Critical situations are situations where a complementarity between technical and non-technical skills is crucial. Several critical dimensions characterize them. In order to train for such situations, simulation systems have to be able to generate scenarios where these dimensions are present in order to solicit one or several non-technical skills. In this paper we focus on one particular critical dimension which is the "Dilemma". We present our approach for dynamically generating dilemma-based situations using activity and causality models.

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Ambiguous situations are referred to as situations that are open to more than one interpretation. Our objective is to train individuals to handle this kind of situations using Virtual Environments for Training (VET). However, producing a large panel of ambiguous situations adapted to the learner requires serious authoring efforts. To address this issue, we propose to generate these situations automatically without having to write them beforehand.

Under the project MacCoy Critical, we would like to train individuals, in virtual environments, to handle critical situations such as dilemmas. These latter refer to situations where there is no "good" solution. In other words, situations that lead to negative consequences whichever choice is made. Our objective is to develop a S cenario Orchestration S ystem that generates dilemma situations dynamically without having to write them be forehand. The approach consists in using Knowledge Models to extract necessary properties for dilemmas to emerge. In this article we present this approach and expose a proof of concept of the generation process.