In parallel to the aforementioned progress in the affective sciences, recent decades of computer science research have laid foundations In recent decades, the field of affective computing has made substantial in affective computing [19, 49, 52], with substantial progress progress in advancing the ability of AI systems to recognize in advancing the ability of AI systems to estimate affective phenomena and express affective phenomena, such as affect and emotions, during in humans. After affective phenomena have been predicted by human-human and human-machine interactions. This paper an AI system, we believe those predictions can be used to enhance describes our examination of research at the intersection of multimodal the system's understanding of human social behaviors and cognitive interaction and affective computing, with the objective of states, towards more socially-intelligent AI. We were, therefore, observing trends and identifying understudied areas. We examined motivated to explore the question: How, and to what extent, have over 16,000 papers from selected conferences in multimodal interaction, affective phenomena been used by AI systems in multimodal interaction affective computing, and natural language processing: ACM research to enhance machine understanding of human social International Conference on Multimodal Interaction, AAAC International behaviors and cognitive states?