Benjamin A. Christie

Papers

Total Citations

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About

Benjamin A. Christie is a robotics researcher whose work lies at the critical intersection of human-robot interaction and long-term autonomy. His primary research focuses on how robots can intentionally and ethically influence human behavior over extended periods, moving beyond one-off interactions to sustained, adaptive relationships. His most-cited paper, "Towards Robots that Influence Humans over Long-Term Interaction" (2023, 11 citations), establishes a foundational framework for understanding the inevitable bidirectional influence between humans and autonomous systems—using examples like an autonomous car affecting a human driver's steering and speed. This work, along with its earlier 2022 iteration (3 citations), challenges the field to design robots that can learn from and adapt to human responses over time. In "LIMIT: Learning Interfaces to Maximize Information Transfer" (2023, 2 citations), Christie explores how robots can dynamically optimize their communication channels—whether auditory, visual, or haptic—to better convey information to different users. His contributions are particularly significant for applications in autonomous driving, assistive robotics, and collaborative manufacturing, where sustained, nuanced human-robot cooperation is essential. With a growing citation footprint, Christie is establishing himself as a key voice in the future of socially intelligent robotics.