Jan Pohl

Papers

Total Citations

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About

Jan Pohl investigates the intersection of human-robot interaction and social robotics, focusing on how people perceive and accept robots in everyday settings. Their work addresses a critical question as robots become more common in healthcare, education, and service industries: what shapes user trust and comfort? Pohl’s most cited paper, “User Perception of Robot Behavior as a Function of Previous Experience with Robots” (2024, 4 citations), reveals that prior exposure to robots significantly influences how users interpret robot actions, suggesting that familiarity can bridge the gap between skepticism and acceptance. In a complementary study, “The Impact of Social Inter-Robot Encounters on User Perception” (2024, 2 citations), Pohl explores a novel dimension—how robots behaving socially toward one another affects human observers. This work challenges traditional dyadic human-robot models by introducing multi-robot social dynamics, showing that witnessing robots interact can enhance user perceptions of their intelligence and sociability. Though early in their career, Pohl’s research is already shaping discussions on designing robots that feel more natural and trustworthy, with implications for deployment in sensitive environments like hospitals and schools. Their focus on experiential learning and social context offers a fresh lens for understanding the future of human-robot coexistence.