Rate My Professor Keith Nesbitt

Nesbitt's academic interests center on computer games, virtual environments, user-interface design, information visualisation, agent-based modelling, and creative processes. His applied research examines how these technologies can address real-world problems, particularly by engaging multiple senses for information sharing and reception. He has successfully secured 23 grants totaling $1,152,173, such as the 2022 Australian Coal Research Limited grant for improving coke microstructure classification using deep learning and lineal path calculations ($111,020), the 2020 grant for correlating multiscale structural features with coke quality ($89,680), the 2016 data mining approach for coal properties and coking performance ($330,000), and earlier projects including the Strategic Initiatives Research Fund for health informatics, the Teaching and Learning Project for a virtual pharmacy, and the PRC in Physical Activity and Nutrition Seed Grant for dysfunctional movement research. Nesbitt has supervised 13 PhD completions, covering topics like real-time cognitive measures, music composition through gameplay, cybersickness, and ambient displays. Key publications include "Cybersickness" (2024), "Classifying coke using CT scans and landmark multidimensional scaling" (2023), "Profiling subjective symptoms and autonomic changes associated with cybersickness" (2016), "Designing multi-sensory displays for mobile devices" (2016), "A Meta-analysis of Data Collection in Serious Games Research" (2015), and editorship of "IE2014: Proceedings of the 2014 Conference on Interactive Entertainment". His contributions advance fields like serious games, multi-sensory interfaces, and physiological measures in gaming.