Towards Generation of Ambiguous Situations in Virtual Environments for Training

Abstract

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.