Faculty Profile for Dr. Lee Friedman

Selected Scholarly/Creative Work

• Friedman, L., Nixon, M., & Komogortsev, O. (2017). Method to assess the temporal persistence of potential biometric features: Application to oculomotor, gait, face and brain structure databases. PloS One.
• Melnyk, K., Friedman, L., & Komogortsev, O. (2024). What can entropy metrics tell us about the characteristics of ocular fixation trajectories? Plos One, 19(1). https://doi.org/https://doi.org/10.1371/journal.pone.0291823
• Aziz, S. D., Lohr, D., Friedman, L., & Komogortsev, O. (2024). Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. ACM. https://doi.org/https://dl.acm.org/doi/10.1145/3649902.3653347
• Komogortsev, O., & Friedman, L. (2024). Evidence for five types of fixation during a random saccade eye tracking task and changes in fixation duration as a function of time-on-task. Plos One. https://doi.org/https://doi.org/10.1371/journal.pone.0310436
• Raju, M. H., Friedman, L., Lohr, D., & Komogortsev, O. (2024). Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7(2). https://doi.org/https://doi.org/10.1145/3649902.3653353