M. Yilmas

Papers

Total Citations

H-Index

About

M. Yilmaz is a pioneering researcher at the intersection of Human-Robot Interaction (HRI) and Human-Computer Interaction (HCI), with a focus on designing multimodal feedback systems that enhance communication between humans and embodied agents. Their most cited work, "Multimodal Feedback from Robots and Agents in a Storytelling Experiment" (2008, 9 citations), introduced an open-source, real-time software platform that controlled feedback from an AIBO robot and the GRETA Embodied Conversational Agent. This project demonstrated how synchronized verbal and non-verbal cues—such as gestures, gaze, and posture—can significantly improve user engagement and comprehension in storytelling contexts. Yilmaz’s contributions lie in bridging the gap between robotic and virtual agent feedback, offering a flexible framework for studying social signal processing. While their citation count reflects a focused but impactful niche, their work has informed subsequent studies on expressive agents and human-robot collaboration. Notable achievements include advancing open-source tools for HRI experimentation, making their platform a resource for researchers exploring affective computing and social robotics. Yilmaz’s research continues to inspire those designing more intuitive, responsive machines for education, therapy, and entertainment.