Ryan E. Yordon
Papers
2
Total Citations
82
H-Index
2
About
Ryan E. Yordon is a researcher whose work lies at the intersection of human-robot interaction and social perception, with a particular focus on how a robot’s physical form shapes human trust. His most influential contribution, the 2012 paper "Classification of Robot Form: Factors Predicting Perceived Trustworthiness," has garnered 78 citations and established a foundational framework for understanding how a robot’s appearance—beyond mere performance—affects its perceived reliability. Yordon’s research systematically explores the interplay between human user attributes, environmental context, and robot design, arguing that trustworthiness is not solely a function of functionality but is deeply influenced by aesthetic and morphological cues. This work has significant implications for the design of socially assistive robots, autonomous systems, and collaborative machines, where user acceptance is critical. While his citation count reflects a focused but impactful body of work, Yordon’s contributions remain a key reference for scholars seeking to bridge engineering design with psychological factors in robotics.
Research Focus
Key Achievements
Top Papers
- 1Classification of Robot Form: Factors Predicting Perceived Trustworthiness78 citations · 2012
- 2