Christine Busch
Papers
2
Total Citations
13
H-Index
2
About
Christine Busch investigates the critical dynamics of human-robot interaction, focusing on how trust, self-efficacy, and mental models shape collaboration in mixed reality and industrial settings. Her research demonstrates that the richness of introductory information significantly influences a user’s willingness to team with robots, as shown in her highly cited 2024 study employing an innovative mixed-reality game (10 citations). Busch also explores the pivotal role of nonverbal communication in collaborative pick-and-place scenarios, where both human and robot must accurately interpret each other’s signals to achieve seamless teamwork. Her work bridges cognitive psychology and robotics, offering practical insights for designing more intuitive and trustworthy autonomous systems. By experimentally revealing how information presentation and shared mental models affect collaboration, Busch’s contributions are foundational for advancing human-robot teaming in manufacturing, healthcare, and everyday environments. Her findings guide engineers and interaction designers toward creating robots that communicate more effectively and earn greater user trust—a critical step toward widespread adoption of collaborative robotics.
Research Focus
Key Achievements
Top Papers
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