As social agents, humans have social intelligence that enables them to engage with others through complex signals such as facial expressions, body motion, and speech, among other communication modalities. Given the monumental utility of social intelligence in the daily lives of humans, there has been extensive research in cognition and neuroscience towards understanding how humans use these skills and how humans acquire them through evolutionary and developmental processes. 

There has been a growing interest in understanding social intelligence to enable richer, seamless human-machine interactions. This area of Artificial Social Intelligence is rapidly expanding, with research in various areas of computing. In computer vision and human-computer interaction, social signals are used as priors for tasks such as emotion detection, pose prediction, trajectory estimation, and virtual avatar generation. In robotics, natural language processing, and human-robot interaction, researchers focus on endowing virtual and embodied AI systems with socially-intelligent interaction abilities. Beyond applications in computing, ASI has applications to enhance human well-being in education and healthcare (e.g., interactive tutoring systems that can personalize to student needs, behavioral assessment for autism spectrum disorder and assisted emotion regulation), among other areas.