Affective Computing (psychophysiology)
USC’s Computational Emotion group is a world leader in the field of Affective Computing. Our research examines the role of emotion in human cognition and human-computer interaction and applies computational techniques the modeling, recognition, and synthesis of emotional phenomena. We are seeking a research assistant to help advance an effort to use peripheral psychophysiological reactions to inform models of cooperative/competitive behavior in game-theoretic settings
The research assistant will help analyze an existing dataset of multimodal signals (facial expressions, decisions, and physiological signals) and help create predictive models of whether people cooperated or defected in an economic game. Primary responsibilities will involve analyzing the physiological signals which include data on impedance cardiography and electrodermal responses. The ideal candidate would be able to take a lead in writing and publishing their findings.
- A PhD student working in the field of affective computing
- Interest and knowledge in psychophysiology
- Experience in signal processing, especially of physiological signals
- Experience with machine learning
- Knowledge of game theory (optional)