Download this episode
Emotions are fundamental to human interactions and influence memory, decision-making, and well-being. As AI systems—in particular, intelligent agents—become more advanced, there is increasing interest in applications that can fulfill task goals and social goals, and respond to emotional states. Research has shown that cognitive agents with these capabilities can increase empathy, rapport, and trust with their users. However, designing such agents is extremely complex, as most human knowledge of emotion is implicit/tacit and defined by unwritten rules. Furthermore, these rules are culturally dependent and not universal. This session will focus on research into intelligent cognitive agents. It will cover the measurement and understanding of verbal and non-verbal cues, the computational modeling of emotion, and the design of sentient virtual agents.
Available formats for this video:
Actual format may change based on video formats available and browser capability.