Papers
21
Total Citations
1,658
H-Index
13
About
David Kaber is a prominent human factors and ergonomics researcher whose work bridges the fields of human-robot interaction, telepresence, and adaptive automation. Best known for his foundational contributions to establishing standardized evaluation frameworks, his highly cited paper "Common metrics for human-robot interaction" (2006, 753 citations) has become a cornerstone reference for researchers designing and assessing task-oriented robotic systems. His early work on telepresence (1998, 342 citations) helped clarify a critically misunderstood concept in synthetic environments, providing a rigorous theoretical framework that shaped subsequent interface design research. Kaber's investigations into teleoperation explored how visual interface design, control latency, and situation awareness collectively influence operator performance and cognitive workload, demonstrating that telepresence is both a psychological and technological phenomenon. His later research expanded into service robotics, examining how robot anthropomorphism, emotional design features, and etiquette strategies shape user perceptions and emotional responses — work increasingly relevant as healthcare robots move toward real-world deployment. His emotinal state classification research (2012, 112 citations) addressed pressing needs in nursing robot design. With over 1,500 cumulative citations, Kaber's career represents a sustained and impactful effort to make human-robot systems safer, more intuitive, and more responsive to human needs.
Research Focus
Key Achievements
Top Papers
- 1Common metrics for human-robot interaction753 citations · 2006
- 2Telepresence342 citations · 1998
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- 9Common metrics for human-robot interaction32 citations · 2004
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