Corey Pittman

PhD Candidate

University of Central Florida


I am a doctoral candidate studying Computer Science at the University of Central Florida. I am a member of the Interactive Systems & User Experiences Lab under the mentorship of Dr. Joseph LaViola. My research interests include augmented reality, novel input methods, and robotics, though I have also worked in other areas relating to HCI and data visualization. My dissertation topic is “Applications and Considerations of Augmented Reality for Physics Education.”

Outside of my research, I am an avid fitness junky. My main focuses are bouldering and distance running, with cycling and yoga helping to round everything off.


  • Augmented Reality
  • Gesture Recognition
  • Novel User Interfaces


  • PhD in Computer Science, 2020

    University of Central Florida (Expected)

  • MS in Computer Science, 2013

    University of Central Florida

  • BS in Computer Science, 2012

    University of Central Florida



Research Intern

Microsoft Research MIX Group

Jun 2015 – Sep 2015 Washington
Responsibilities include:

  • Conduct research with teleoperated drones
  • Streamline control schemes for consumer flying drones
  • Present research ideas at weekly meetings

Graduate Research Assistant

University of Central Florida Interactive Systems and User Experiences Lab

Dec 2012 – Present Florida
Responsibilities include:

  • Conduct gesture recognition research
  • Perform research paper writing
  • Oversee junior graduate and undergraduate researchers
  • Attend events to promote the ISUE Lab and confer with domain experts on future directions
  • Demonstrate research projects to lab visitors and potential sponsors


PhyAR: Determining the Utility of Augmented Reality for Physics Education in the Classroom

In this paper, we present a qualitative analysis of a prototype augmented reality application for the Microsoft Hololens with a focus on physics education.

Examining Training Comprehension and External Cognition in Evaluations of Uncertainty Visualizations to Support Decision Making

Building on recent work, we investigated the effect of training comprehension on performance across varying representations of uncertainty and varying degrees of visualization interactivity using a simulated course of action selection task.

Determining Design Requirements for AR Physics Education Applications

We present the results of a series of interviews with secondary school teachers about their experience with AR and the features which would be most beneficial to them from a pedagogical perspective.

Examining the Impact of Training and Feedback on Visualization-Supported Decision Making under Uncertainty

We evaluated how variations in training, coupled with assessments of knowledge acquisition and application, can inform uncertainty visualization research.

Determining the effect of training on uncertainty visualization evaluations

We evaluated how variations in training, coupled with assessments of knowledge acquisition and application, can inform uncertainty visualization research.

Multiwave: Complex Hand Gesture Recognition Using the Doppler Effect

We built an acoustic, gesture-based recognition system called Multiwave, which leverages the Doppler Effect to translate multidimensional movements into user interface commands.