Noa Markfeld
Papers
3
Total Citations
46
H-Index
3
About
Noa Markfeld’s research sits at the vital intersection of human-robot interaction and assistive technology for older adults. Her work focuses on designing robotic systems that are not only functional but also intuitive and empowering for aging populations. Markfeld’s most significant contribution is a novel schematic model that integrates Levels of Automation (LOAs) with Levels of Transparency (LoTs), ensuring assistive robots can match the preferences and expectations of older users. This framework, detailed in her highly cited 2021 paper (34 citations), addresses the critical challenge of encouraging older adults to remain active rather than passive when interacting with robots. She has further explored how different feedback modes—from visual to haptic—influence user trust and performance in real-world tasks like table clearing and telecare. By systematically evaluating how transparency and feedback affect user experience, Markfeld is helping to shape a future where assistive robots are not just tools, but collaborative partners that respect user autonomy. Her work is essential reading for anyone designing robots for caregiving, rehabilitation, or independent living.
Research Focus
Key Achievements
Top Papers
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- 3Evaluating Feedback Modalities in a Mobile Robot for Telecare4 citations · 2021