Chris Crawford
University of Alabama, United States Naval Academy, University of Florida
Papers
10
Total Citations
96
H-Index
4
About
Chris Crawford is a pioneering researcher at the intersection of human-robot interaction (HRI), neurophysiological computing, and reproducibility science. His work fundamentally explores how robots can understand and respond to human cognitive and emotional states, particularly through brain-computer interfaces (BCI) and physiological signals. Crawford's major contributions include developing methods to leverage neurophysiological data—such as EEG and other biometrics—to augment traditional survey-based measures of trust, disclosure, and user experience in HRI. His most cited work, "Reproducibility in Human-Robot Interaction" (2022, 50 citations), provides critical recommendations for improving scientific rigor in the field, addressing challenges unique to robotics and AI. He has also advanced closed-loop control systems for multi-brain robot interaction and pioneered web-based environments for prototyping social robot applications. Notably, Crawford's "PhysioBots" project (2025) extends his research into K-12 education, engaging students with physiological computing and robotics. With a career spanning foundational work on solid model-to-robot vision (2005) to cutting-edge BCI exploration of vulnerable robot behaviors (2024), Crawford continues to shape how robots perceive and adapt to human users, making HRI more intuitive, trustworthy, and reproducible.
Research Focus
Key Achievements
Top Papers
- 1Reproducibility in Human-Robot Interaction: Furthering the Science of HRI50 citations · 2022
- 2From solid model to robot vision23 citations · 2005
- 3
- 4
- 5User Experience Evaluation Towards Cooperative Brain-Robot Interaction4 citations · 2015
- 6
- 7
- 8Towards Web-based Environments for Prototyping Social Robot Applications2 citations · 2021
- 9
- 10