AIMS

One of the most interesting research field aimed to understand human behaviours is related to human interaction and face-to-face communication. It is in this context that knowledge is shared and personal traits acquire their significance. In the past decade, a number of different research communities within the psychological and computational sciences have tried to characterize human behaviour in the face-face-communication by several features that describe relationships between facial, prosodic/voice quality, formal and informal communication modes, cultural differences and individual and socio-cultural variations, stable personality traits and degree of expressiveness and emphasis, as well as the individuation of the interlocutor emotional and psychological states. There has been substantial progress in these different communities and surprising convergence, and this growing interest makes the current intellectual climate an ideal one for the organization of a Workshop on verbal and non verbal communication behaviours.

Key aspects considered, are the integration of algorithms and procedures for the recognition of emotional states, gesture, speech and facial expressions, in anticipation of the implementation of useful application such as intelligent avatars and interactive dialog systems.

Scientific contributes are expected from computer science, physics, psychology, statistics, mathematics, electrical engineering, philosophy, neuroscience, and communication science.

Summary of the CONTENTS

1) The amount of verbal and non verbal information in the face-to-face communication;

2) The cross modal analysis of speech, gestures and facial expressions;

3) The socio-cultural differences and the personal traits;

4) The multimodal algorithms and procedures for the speaker identification and verification;

5) MPEG7 audio and video features for cross-modal interaction.