Martin Baumann
Papers
19
Total Citations
555
H-Index
13
About
Martin Baumann is a prominent researcher specializing in human-robot interaction (HRI), trust dynamics, and social robotics, with a growing focus on how humans psychologically adapt to increasingly autonomous machines. His work has made substantial contributions to understanding the multifaceted nature of trust in robotic systems, exploring how factors such as dialog content, gaze behavior, gender stereotypes, and user dispositions shape acceptance and proximity toward service robots. His highly cited 2021 paper on trust layers in HRI (87 citations) established a nuanced framework distinguishing between dispositional, learned, and situational trust, while companion work on small talk and robot gaze behavior (82 citations) demonstrated how conversational design profoundly influences user comfort. Baumann's research extends into conflict resolution between humans and robots in shared spaces, developing and validating assertive yet socially appropriate robot strategies through both field studies and immersive virtual reality methodologies. His integrated Trustworthiness Beliefs Model further bridges acceptance theory with real-world deployment considerations. With over 460 cumulative citations across his most recognized works, Baumann's scholarship is essential reading for anyone designing human-centered robotic systems for public or domestic environments.
Research Focus
Key Achievements
Top Papers
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- 5Human After All41 citations · 2016
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