Researchers at the International Institute of Informational Technology Bangalore (IIITB) have introduced an innovative pipeline for human-robot interactions. This system, blending machine learning and psychology, analyzes engagement levels, personalities, attitudes, and emotions in interactions. By understanding visual and physiological cues, the pipeline determines each person’s engagement. The technology aims to equip assistive robots, chatbots, and automated systems with a sense of human emotions, significantly altering interaction dynamics. Published in the PLOS One Journal, the pipeline integrates personality traits and behavioral theories, demonstrating potential applications in education, customer service, and various domains requiring human-robot engagement. The next steps involve refining data sets and collaborating across industries to deploy this technology effectively.