Katie Davies
Papers
2
Total Citations
37
H-Index
2
About
Katie Davies is a leading researcher at the intersection of rehabilitation robotics and clinical implementation science. Her work focuses on understanding and overcoming the barriers to adopting robotic technologies in neurorehabilitation, particularly for upper limb recovery after stroke. Davies’s major contribution lies in bridging the gap between engineering design and clinical practice. Her most cited work (24 citations) applies the extended Technology Acceptance Model to systematically explore why clinicians are hesitant to use rehabilitation robotics, identifying critical factors that influence adoption. In a complementary user-centred design study (13 citations), she demonstrated how integrating clinical best practice into the robot development process can enhance therapist understanding and acceptance. Davies’s research is notable for its pragmatic, clinician-focused approach, providing actionable insights for developers and healthcare institutions. By quantifying the disconnect between robotic potential and real-world uptake, her work is shaping how rehabilitation technologies are designed, evaluated, and deployed, ultimately aiming to increase therapy intensity and improve outcomes for patients with neurological impairments.
Research Focus
Key Achievements
Top Papers
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