Miriam Abel

RWTH Aachen University, University of Cologne

Papers

Total Citations

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About

Miriam Abel investigates the intersection of human perception and robotics, focusing on how biological sex and gender influence our acceptance of robotic and humanoid actions. Her research, grounded in cognitive neuroscience, explores the critical factors that shape human-robot interaction in industrial, healthcare, and rehabilitation settings. Abel’s most cited work, “Gender Effects in Observation of Robotic and Humanoid Actions” (2020, 27 citations), demonstrates that sex can significantly affect how people perceive anthropomorphic versus non-anthropomorphic movements, a finding with profound implications for designing socially acceptable robots. Her subsequent studies, including “Perception of robotic actions and the influence of gender” (2024, 5 citations) and “Anthropomorphic or non-anthropomorphic?” (2022, 5 citations), further dissect these perceptual differences, revealing that gender biases may impact co-working dynamics. By systematically comparing digital human models and gantry robots, Abel provides actionable insights for engineers and designers aiming to enhance robot acceptance. Her work is pivotal for advancing collaborative robotics, ensuring that future machines are not only efficient but also intuitively trusted by diverse human users.