Papers
1
Total Citations
20
H-Index
1
About
Mara Kaufeld investigates the intersection of human-robot interaction and cognitive ergonomics, focusing on how robotic autonomy and information design affect human performance. Her most-cited work, "Level of Robot Autonomy and Information Aids in Human-Robot Interaction Affect Human Mental Workload – An Investigation in Virtual Reality" (2019), has garnered 20 citations and demonstrates her pioneering use of virtual reality to simulate and measure the cognitive demands placed on operators working alongside autonomous systems. By systematically varying robot autonomy levels and the availability of information aids, Kaufeld provides critical insights into designing interfaces that reduce mental workload while maintaining situational awareness—a key challenge in domains like manufacturing, healthcare, and space exploration. Her research bridges engineering, psychology, and human factors, offering evidence-based guidelines for creating safer, more efficient human-robot teams. With a growing portfolio that includes studies on trust calibration and adaptive automation, Kaufeld is establishing herself as a thoughtful voice in the future of collaborative robotics, where human cognition remains central to technological progress.
Research Focus
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Top Papers
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