In this paper, an influence model is used to recognize functional roles played during meetings. Previous works on the same corpus demonstrated a high recognition accuracy using SVMs with RBF kernels. In this paper, we discuss the problems of that approach, mainly over-fitting, the curse of dimensionality and the inability to generalize to different group configurations. We present results obtained with an influence modeling method that avoid these problems and ensures both greater robustness and generalization capability. Categories and Subject Descriptors H.5.3 [INFORMATION INTERFACES AND PRESENTATION]: Group and Organization Interfaces: Computer-supported cooperative work - Synchronous interaction I.2.10. [ARTIFICIAL INTELLIGENCE]: Vision and Scene Understanding – Perceptual Reasoning General Terms Design, Experimentation, Human Factors. Keywords Group Interaction, Support Vector Machines, Intelligent Environments.