Ashley Reardon
Papers
1
Total Citations
20
H-Index
1
About
Ashley Reardon’s research lies at the intersection of human-robot interaction and social cognition, where she investigates the subtle, often unconscious biases that shape our trust in and attitudes toward autonomous systems. Her most-cited work, “Implicit Attitudes Toward Robots” (2016), has garnered 20 citations and represents a pioneering effort to adapt the Implicit Associations Test (IAT)—a tool traditionally used to measure hidden human biases—to evaluate how people perceive robots versus humans. By revealing that implicit attitudes toward robots can diverge sharply from explicit self-reports, Reardon’s study provides a critical methodological bridge for understanding why users may distrust or reject robotic assistance even when they claim otherwise. This contribution has implications for designing more intuitive human-robot interfaces and for anticipating societal resistance to automation. Reardon’s work is notable for its rigorous experimental design and its challenge to conventional survey-based trust metrics, positioning her as a key voice in the growing field of robot ethics and acceptance. Her findings continue to inform researchers in robotics, psychology, and human factors engineering.
Research Focus
Key Achievements
Top Papers
- 1Implicit Attitudes Toward Robots20 citations · 2016