Austin Erickson



Email:, Google Scholar, LinkedIn, ResearchGate



Austin Erickson is a doctoral candidate and graduate research assistant at the SREAL lab at the University of Central Florida with an anticipated graduation date in the Spring of 2023. His dissertation research targets the intersection of visual perception, augmented reality optical see-through displays, and human-computer interaction. His work focuses on understanding the factors that influence user perception of virtual imagery shown on optical see-through displays, including the characteristics of the user’s viewing environment, the characteristics of the display, and the characteristics of the imagery being displayed. His work quantifies the effects that these factors have on the user’s ability to accurately distinguish imagery shown on the display, and presents a mathematical model that can be used to predict when the user is likely to experience difficulty perceiving virtual imagery as well as provide recommendations on how the imagery, display hardware, or the user’s environment can be changed to improve viewing conditions.

Research Interests

  • Augmented Reality
  • Virtual Reality
  • Visual Perception
  • Display Metrology
  • Human Computer Interaction (HCI)
  • 3D User Interfaces


2018-2023  – Graduate Research Assistant, Institute for Simulation and Training, University of Central Florida, Orlando, Florida

2018 – Undergraduate Research Assistant, Advancing Machine and Human Reasoning Lab, University of South Florida, Tampa, Florida.

2014-2018 – Certified Ophthalmic Assistant, Center for Sight, Sarasota, Florida



University of Central Florida, Orlando, FL, USA, PhD, Computer Science, exp. Fall 2022
University of Central Florida, Orlando, FL, USA, MS, Computer Science, 2021
University of South Florida, Tampa, Fl, USA, BS, Computer Science, 2018


Honors and Awards

  • “Best Paper Award” at the ACM Symposium on Spatial User Interaction (SUI) 2019, New Orleans (LA), USA
  • UCF Presentation Fellowship – Awarded to attend and present at IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2019