Umer Rasheed

Papers

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About

Umer Rasheed explores the intersection of human-robot interaction and social signal processing, with a focus on how autonomous systems can mediate and enhance human communication. His most cited work, "Perception of humanoid social mediator in two-person dialogs" (2014, 14 citations), introduces a groundbreaking application of the Nao humanoid robot as a real-time sociofeedback system. This system quantifies speech mannerisms and social behaviors during dyadic conversations, intelligently determining when to intervene with feedback to improve interaction quality. By developing a robot that can analyze and respond to subtle social cues, Rasheed contributes to the growing field of socially assistive robotics, where machines are designed not just to perform tasks but to actively support human social dynamics. His work demonstrates how embodied agents can serve as non-judgmental mediators, potentially aiding in communication training, therapy, or conflict resolution. Though early in his career, Rasheed’s research lays important groundwork for creating robots that understand and positively influence human social behavior, bridging the gap between computational analysis and real-world interpersonal interaction.