Ewart deVisser

Papers

Total Citations

296

H-Index

About

Ewart deVisser is a leading researcher in human-robot interaction, with a primary focus on the psychology of trust in autonomous systems. His seminal work, "Measurement of trust in human-robot collaboration" (2007, 296 citations), introduced the Collaborative Performance Model, a framework that captures the critical performance attributes of human-robot decision-making. This paper established trust as a foundational element in effective human-robot teamwork, influencing subsequent studies in human-automation interaction and human factors psychology. DeVisser's research has been instrumental in understanding how humans calibrate trust in machines, particularly in high-stakes environments like military operations and healthcare. His contributions have shaped the design of more transparent and reliable autonomous systems, earning him recognition as a pioneer in trust measurement. With over 296 citations on this single work, his impact is evident across robotics, psychology, and engineering disciplines. DeVisser continues to advance the field by exploring how adaptive automation and explainable AI can foster appropriate trust, ensuring that humans and robots collaborate safely and effectively.