As virtual environments applications become mole complex, there is a need t
o interpret user interaction in terms of high-level concepts. In this paper
, the relations between conceptual representations of actions and their phy
sical simulation in virtual worlds is investigated. A model inspired from n
atural language processing (NLP) research in the linguistic interpretation
of dynamic scenes has been developed. The experiments are based on real-tim
e animation software, which has been enhanced with a symbolic information p
rocessing layer, originally developed for NLP-based animation. We report th
e implementation of a high-level interpretation module that is able to reco
gnize complex actions from low-level physical events in the virtual world a
nd discuss its performance as well as directions for further developments.