Andrew Appleby

Papers

Total Citations

208

H-Index

About

Andrew Appleby is a pioneering researcher in human-robot interaction, with a specific focus on the design and perception of robotic faces. His work sits at the intersection of robotics, psychology, and narrative art, exploring how a robot’s facial appearance shapes user trust, engagement, and emotional response. Appleby’s most influential contributions include two highly cited papers from 2006: “The art of designing robot faces” (105 citations) and “Perception of Robot Smiles and Dimensions for Human-Robot Interaction Design” (103 citations). These works synthesize insights from face recognition psychology and narrative design to establish foundational principles for creating socially acceptable robot expressions. Appleby’s research demonstrates that even subtle features—like a robot’s smile—can dramatically alter human perception, making his work essential for engineers and designers building robots for everyday use. By bridging aesthetic theory with empirical interaction studies, Appleby has helped define how robots should look and behave to be welcomed into human spaces. His contributions remain highly influential in shaping the next generation of socially intelligent machines.