Brett Ponsleur

Papers

Total Citations

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About

Brett Ponsleur is a leading researcher in human-robot interaction, with a primary focus on computational models of engagement. His most cited work, "Recognizing engagement in human-robot interaction" (2010), has accumulated nearly 100 citations, establishing him as a key figure in understanding how humans and robots establish and maintain meaningful connections. Ponsleur's major contribution lies in developing and implementing an initial computational model that recognizes engagement between humans and humanoid robots. His model uniquely identifies four types of connection events involving gesture and speech, including directed gaze, which are critical for natural interaction. By translating human engagement processes into machine-readable signals, Ponsleur's work has laid the foundation for more responsive and socially aware robots. His research is particularly notable for bridging cognitive science and robotics, enabling robots to detect when a human is actively participating in an interaction. This achievement has significant implications for assistive robotics, education, and collaborative work environments. Ponsleur's pioneering efforts continue to influence how robots perceive and respond to human social cues, making him a vital contributor to the advancement of intuitive human-robot communication.