Rahul Sujan

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About

Rahul Sujan is a leading researcher at the intersection of service robotics, human–robot interaction, and organizational behavior. His work investigates how the design and intelligence of service robots influence human co-workers, with a focus on the psychological and social dynamics of collaboration. Sujan’s most-cited paper, “How does service robot anthropomorphism affect human co-workers?” (2023, 64 citations), uses two between-subject experimental studies to reveal that the level of robot anthropomorphism and intelligence critically shapes human trust, comfort, and willingness to cooperate. This research has quickly become foundational for scholars and practitioners designing robots for workplaces, offering evidence-based guidance on balancing human-like features with functional capability. Sujan’s contributions are notable for bridging robotics engineering with social science, providing a nuanced understanding of how robots can be integrated without alienating human colleagues. His work is widely cited in human–computer interaction and management journals, and he is recognized for advancing ethical and practical frameworks for human–robot teams. Sujan continues to explore how emerging technologies can augment—rather than replace—human expertise, making his research essential reading for anyone interested in the future of work.