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About

John Zimmerman is a human-computer interaction researcher whose work sits at the intersection of social robotics, conversational agents, and assistive technology design. His most influential contributions explore how robots and AI agents should present themselves socially — particularly the concept of "re-embodiment," which examines whether artificial agents should be bound to a single physical form or fluidly distributed across multiple bodies and contexts. This foundational work has garnered over 100 citations and continues to shape how designers approach agent identity and social presence. Zimmerman has also made significant contributions to understanding how service robots navigate public and semi-public spaces, balancing personalization with privacy — a tension his 2021 work explores through the competing rewards and risks of customer recognition. Earlier in his career, he tackled assistive technology for aging populations, developing intelligent systems like the SenseChair to support elder independence at home. Methodologically, he has championed research through design as a legitimate and rigorous framework within the Human-Robot Interaction community, helping bridge disciplinary gaps between HCI and HRI. With a body of work spanning nearly two decades and hundreds of cumulative citations, Zimmerman remains a thoughtful voice in designing socially intelligent systems that genuinely serve human needs.