The goal of this project is to develop computational models for predicting human nonverbal behavior during specific social contexts, such as the verbal and nonverbal behaviors immediately preceding a conversational turn. The ability to collect, analyze and ultimately predict human nonverbal cues can provide new insights into human social processes and new human-centric applications that can understand and respond to this natural human communicative channel. They have broad applicability for synthesis of natural animations, multicultural training and the diagnoses of social disorders.