Max Robotics — Global Service Robot Directory + US Certification

About

Spencer Kohn is a leading voice in human–robot interaction, whose work fundamentally reshapes how we understand and engineer trust between people and autonomous systems. His primary research areas span trust calibration, human–automation collaboration, and the social perception of robots over time. Kohn’s landmark paper, “Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams” (2019), has garnered 399 citations, establishing a foundational framework for how trust evolves and can be dynamically managed in long-term human–robot partnerships. He further advanced the field with “A Framework for Rebuilding Trust in Social Automation Across Health-Care Domains” (2015), a pivotal review that bridges trust-repair literature with the growing use of social agents in medical settings. In exploratory work such as “Does Long-Term Exposure to Robots Affect Mind Perception?” (2020), Kohn investigates how everyday encounters with robots shift our beliefs about their capabilities and humanity. His research is essential reading for anyone designing resilient, trustworthy robotic teammates, and his contributions continue to shape both theoretical models and practical guidelines for safe, effective human–robot collaboration.