Dana Gutman
Papers
3
Total Citations
51
H-Index
3
About
Dana Gutman is a researcher focused on human-robot interaction, particularly in assistive robotics for older adults and collaborative manufacturing. Her work centers on designing robotic systems that balance automation with user control, ensuring they are both effective and trustworthy. Gutman’s major contributions include developing a schematic model that integrates levels of automation (LOA) and transparency (LoT) in assistive robots, tailored to the preferences and expectations of older adults—a framework that encourages active engagement rather than passive reliance. Her most cited paper (34 citations) proposes this model, while subsequent studies (9 and 8 citations) experimentally evaluate how different LOA modes affect human-robot collaboration under varying workload conditions, and how feedback modes influence performance in eldercare tasks like table clearing. Gutman’s work has practical implications for designing robots that are intuitive and supportive, reducing cognitive load while maintaining user autonomy. Her research is notable for its rigorous experimental approach, combining theoretical frameworks with real-world task scenarios, and it has been recognized as a key contribution to the growing field of age-inclusive robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
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