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About
Alec Moore is currently a Ph.D. Candidate at The University of Central Florida in the eXtended Reality and Training Lab (XRT-Lab). He received his M.S. Computer Science from UT-Dallas in May 2016. He also received his B.S. Physics and B.S. Computer Science from UT-Dallas in May 2014. His current research interests are mostly in Virtual Reality (VR), 3D User Interfaces (3DUI), Training/Educational Simulations, and Machine Learning. He also has experience in embedded systems and machine learning satellite data analysis.
Recent academic publications include:
- Personal Identifiability and Obfuscation of User Tracking Data From VR Training Sessions
- Exploration of Feature Representations for Predicting Learning and Retention Outcomes in a VR Training Scenario
- A Preliminary Embodiment Short Questionnaire
- Personal Identifiability of User Tracking Data During VR Training
- The Effects of Body Tracking Fidelity on Embodiment of an Inverse-Kinematic Avatar for Male Participants
- Extracting Velocity-Based User-Tracking Features to Predict Learning Gains in a Virtual Reality Training Application
- Evaluating Interaction Cue Purpose and Timing for Learning and Retaining Virtual Reality Training
- A Formative Evaluation Methodology for VR Training Simulations
- CARAI: A Formative Evaluation Methodology for VR Simulations (poster)
- The Effects of Delayed Interaction Cues in Virtual Reality Training
- The Importance of Intersection Disambiguation for Virtual Hand Techniques
- VOTE: A ray-casting study of vote-oriented technique enhancements
- VUME: The Voluntary-Use Methodology for Evaluations
- A reproducible olfactory display for exploring olfaction in immersive media experiences
- Using Remote Control Aerial Vehicles to Study Variability of Airborne Particulates
- Wedge: A musical interface for building and playing composition-appropriate immersive environments
- The Effects of Olfaction on Training Transfer for an Assembly Task
- The Neighborhood Scale Variability of Airborne Particulates
- Estimating the Global Abundance of Ground Level Presence of Particulate Matter (PM2.5)
- Estimation and Bias Correction of Aerosol Abundance using Data-driven Machine Learning and Remote Sensing
Recent professional appointments, positions, etc:
- UCF XRT Lab Graduate Researcher, August 2019 - present
- UTD FIVE Lab Graduate Researcher, May 2014 - August 2019
- IWISC 2019 Web Chair, 2018-2019
- UTD Center for Space Sciences MINTS Lab Undergraduate Researcher, August 2011 - December 2014
- Cisco Senior Design Project Front-end Design and Programming, Fall 2013
- Fuel7 Embedded Linux Student Intern, Summer 2013
Academic awards:
- Erik Jonsson School of Engineering and Computer Science Excellence in Education Doctoral Fellowship, 2017
- UT Dallas Computer Science Research Excellence Scholarship, 2016
- Doctor Family Prize, Spring 2016
- Certificate of Academic Excellence, Spring 2016
- Graduate Research Assistantship, Summer 2015
- UTD Undergraduate Research Award, 2011
- UTD Academic Honors Scholarship, 2010
- TAMS Scholarship, 2008