Social Signal Processing in Companion Systems - Challenges Ahead
Georg Layher, Heiko Neumann, Stefan Scherer, Stephan Tschechne, Tobias Brosch, Cristóbal Curio
Companion-Systeme und Mensch-Companion-Interaktion at INFORMATIK 2011 - Informatik schafft Communities
Berlin 2011
Berlin 2011
Abstract: One of the main challenges ahead for the development of companion technologies, that are capable of sustaining long-term relationships by employing nonverbal communication and emotional skills, is the correct detection and analysis of social signals. In this proposal, we focus our investigation on the modeling of visual processing mechanisms, since evidence in literature suggests that nonverbal interaction plays a key role in steering, controling and maintaining social interaction between humans. We seek to transfer fragments of this competence to the domain of human computer interaction. Some core computational mechanisms of extracting and analyzing nonverbal signals are presented, enabling virtual agents to create socially competent response behaviors.