Modeling social cues: Effective features for predicting listener nods (Inproceedings)

Khan, F., B. Mutlu, and X. Zhu. “Modeling Social Cues: Effective Features for Predicting Listener Nods”. Workshop on Modeling Human Communication Dynamics at NIPS, 2010, p. 30.


Human communication involves a number of verbal, vocal, and non-verbal cues that facilitate face-to-face communication. Building a computational understand- ing of how these cues might facilitate social and cognitive processes will enable new research directions in social and cognitive sciences and the design of so- cially interactive systems such as agents and robots. In this paper, we present preliminary work in modeling a particular communicative mechanism—listener nods—toward designing humanlike agents and robots that show appropriate so- cial behavior.∗

DOI: 10.1007/s10514-015-9461-0