David Harris
Papers
3
Total Citations
47
H-Index
3
About
David Harris is a researcher whose work bridges the fields of surgical education and animal behavior, united by a focus on observational learning and technological innovation. In surgical training, Harris has made significant contributions by investigating how novice surgeons acquire skills through observation. His 2017 study on the effect of observing novice versus expert performance during robotic surgery (23 citations) demonstrated that watching error-strewn performances can be as beneficial as learning from experts, challenging traditional pedagogical models. He further advanced this work in a 2018 randomized trial (11 citations) exploring how 2D versus 3D models impact skill acquisition in robotically assisted surgery, providing critical insights for the design of modern surgical simulators. Demonstrating remarkable interdisciplinary breadth, Harris also developed a custom hidden Markov model to analyze temporally clustered courtship displays in animals, as shown in his 2019 paper (13 citations). This statistical tool, applied to robotic female interactions, reveals tactical behavioral adjustments and has broad applications across species. With a combined citation count exceeding 47, Harris’s work is notable for its methodological rigor and its impact on both medical training and behavioral ecology.
Research Focus
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Top Papers
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