Daniel Nordheimer
Papers
1
Total Citations
6
H-Index
1
About
Daniel Nordheimer is a pioneering researcher at the intersection of affective computing, human-robot interaction, and neuroergonomics. His work centers on understanding how tactile and emotional experiences shape human-robot relationships, with a particular focus on designing assistive robots that feel intuitive and embodied. Nordheimer’s most cited paper, “Feel-Good Requirements: Neurophysiological and Psychological Design Criteria of Affective Touch for (Assistive) Robots” (2021, 6 citations), introduces groundbreaking criteria for affective touch in robotics, bridging neurophysiological responses with psychological design principles. This work challenges traditional functional approaches by arguing that integrating tactile interfaces into a user’s bodily self-representation—a concept known as the sense of embodiment—is critical for effective assistive technology. By synthesizing insights from neuroscience and psychology, Nordheimer provides a framework for creating robots that not only perform tasks but also foster emotional connection and trust. His research has implications for rehabilitation, elder care, and human augmentation, positioning him as a key voice in the emerging field of affective robotics. Nordheimer’s contributions are particularly notable for their interdisciplinary rigor, offering a roadmap for designing technology that feels less like a tool and more like an extension of the self.
Research Focus
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Top Papers
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