Social Signal Processing

Social Signal Processing (SSP) is a field that studies how to recognize and interpret nonverbal cues—like facial expressions, gestures, posture, and tone of voice—to understand human social behavior and emotions. It involves analyzing these subtle signals to help machines better interact with people, making communications more natural and effective. SSP aims to enhance technologies like robots, virtual assistants, and social robots, enabling them to respond appropriately based on the emotional and social context of interactions. In essence, it bridges the gap between human social cues and machine understanding to improve human-computer communication.