Papers
3
Total Citations
18
H-Index
2
About
Keren Mazuz is a pioneering researcher at the intersection of anthropology, robotics, and trauma-informed technology. Her work fundamentally reimagines human–android interactions (HAI) by applying anthropological frameworks to understand how humans subconsciously adapt to and form relationships with social robots. Mazuz’s most impactful contribution, "Adaptive learning in human–android interactions" (2023, 9 citations), uses play and ritual theory to reveal the deep, often unconscious learning processes that occur when humans engage with androids. She has since broken new ground by integrating Trauma-Informed Care (TIC) into robotics, as shown in her 2025 study (7 citations) on developing companion robots for elderly PTSD survivors—a compassionate approach that addresses a critical gap in gerontechnology. Her latest work (2026) explores the "mirror effect" of narcissistic self-regulation in older adults’ evaluations of empathic versus cold robots, demonstrating how personality shapes user acceptance. By bridging cultural anthropology with cutting-edge human-robot interaction, Mazuz is shaping a more humane, psychologically-aware future for assistive robotics, making her a vital voice in designing technology that truly serves vulnerable populations.
Research Focus
Key Achievements
Top Papers
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