Paul Newbury
Papers
1
Total Citations
33
H-Index
1
About
Paul Newbury’s research lies at the compelling intersection of robotics, human perception, and trust. His most-cited work, “Human-robot interaction: the impact of robotic aesthetics on anticipated human trust” (2022), has garnered 33 citations and fundamentally explores how sensory cues—beyond mere vision—shape our emotional and cognitive responses to machines. Newbury argues that aesthetics are not superficial; they are deeply tied to how humans learn, interpret, and ultimately decide to trust robotic systems. By bridging evolutionary psychology with modern engineering, he reveals that the design of a robot’s appearance can trigger innate perceptual processes, influencing everything from initial hesitation to long-term collaboration. This contribution is pivotal for developers seeking to create robots that are not only functional but also intuitively trustworthy. Newbury’s work challenges the field to move beyond technical metrics, urging a deeper consideration of the human sensory experience. For students and researchers, his insights are a vital reminder that the future of human-robot interaction depends as much on thoughtful design as on algorithmic prowess.
Research Focus
Key Achievements
Top Papers
- 1