Papers
7
Total Citations
160
H-Index
6
About
Oliver Christ is a researcher whose work sits at the intersection of rehabilitation engineering, assistive robotics, and human psychology—particularly focused on how people perceive, accept, and integrate artificial limbs and robotic systems into their sense of self. His most influential contribution, "Feel-Good Robotics" (2018, 65 citations), examines the psychological phenomenon of embodiment and establishes critical design requirements for touch in assistive robotics, highlighting how users can come to experience robotic devices as extensions of their own bodies. Building on this foundation, Christ has made significant strides in human-centered prosthetic design, authoring a widely recognized methodology for lower limb prosthetics development (2017, 40 citations) that places user psychology at the heart of engineering decisions. His earlier work introduced specialized robotic platforms to empirically assess psychological factors during prosthetic development, advancing the field's understanding of body schema integration. Christ's research into the Bayesian causal inference model further demonstrates his interdisciplinary reach, connecting computational neuroscience with prosthetics research. Collectively, his publications address a critical gap between technical prosthetic capability and human acceptance, making his work essential reading for engineers, clinicians, and cognitive scientists working toward truly user-centered assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 2A human–machine-centered design method for (powered) lower limb prosthetics40 citations · 2017
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