Christopher A. Bailey
Papers
3
Total Citations
50
H-Index
3
About
Christopher A. Bailey’s research lies at the vital intersection of human-robot interaction, social psychology, and physiological sensing. His major contribution is demonstrating that social interaction fundamentally shapes how humans trust and rely on robots—a finding that challenges earlier assumptions that trust and reliance were disconnected in non-social contexts. In his most-cited work (2016, 28 citations), Bailey showed that social interaction not only moderates the trust-reliance relationship but also helps humans cope with stress during human-robot collaboration. This insight bridges robotics with social and emotional interaction, suggesting that robots designed with social capabilities can foster more effective partnerships. Building on this, Bailey explored how the perceived role of physiological sensors impacts trust and reliance (2016, 3 citations), revealing that users’ beliefs about sensor purpose—whether for monitoring or support—significantly influence their willingness to rely on robotic systems. His work is notable for integrating psychological theory with engineering design, offering practical guidance for creating robots that are not only functional but trusted companions. With over 50 cumulative citations, Bailey’s research is shaping the future of socially aware robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3