D.R. Billings

Papers

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About

D.R. Billings is a pioneering researcher in human-robot interaction, with a primary focus on the critical issue of trust between humans and autonomous systems. Their most influential work, "A Model of Human-Robot Trust: Theoretical Model Development" (2011), established a foundational framework for understanding how trust is built, maintained, and broken in human-robot relationships. This theoretical model, which has garnered 8 citations, remains a cornerstone reference for scholars studying the psychological and behavioral dynamics of human-robot collaboration. Billings’ contributions are particularly significant in the context of increasing automation and AI integration, where trust is essential for effective teamwork and safety. By systematically identifying key factors—such as robot performance, human characteristics, and environmental context—Billings provided a structured approach to designing more trustworthy and reliable robotic systems. This work has influenced subsequent empirical studies and design guidelines in robotics, human factors, and human-automation interaction. Billings’ research continues to inform engineers, psychologists, and policymakers striving to create robots that people can confidently work alongside in critical domains like healthcare, manufacturing, and autonomous vehicles.