Performance-Guided Synthesis of Personalized Virtual Environments for the Future of Work and Training
Dr. Yu will discuss how automatically synthesized virtual training content can unlock the potential of virtual reality for a number of compelling and novel training applications. In particular, he will discuss how to apply optimization and machine learning approaches to generate a large variety of virtual environments, from apartments, restaurants, factories, train stations, to shopping malls. Paired with a trainee's performance data such as perception and behavior tracked in VR, these approaches can also incorporate personal factors including skill levels, weaknesses, preferences, and training goals for synthesizing personalized virtual training experiences. One can also realize smart interfaces such as adaptive VR/AR navigation aids driven by gaze. Dr. Yu will illustrate the approaches with a number of training examples such as earthquake safety training, driving training, and body fitness training in virtual reality.
Date and Time
Location
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Registration
- Date: 21 Apr 2021
- Time: 06:30 PM to 08:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Starts 16 March 2021 06:20 PM
- Ends 21 April 2021 12:01 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Craig Yu
Lap-Fai (Craig) Yu, Ph.D., is an Assistant Professor in Computer Science at George Mason University, where he leads the Design Computing and Extended Reality (DCXR) group. He works on computer graphics, vision, human-computer interaction, and virtual reality, particularly in AI and data-driven techniques for computational design and interaction. He is the lead inventor of Make-it-Home (SIGGRAPH 2011), a pioneering system for automating interior design and virtual world generation. He obtained his Ph.D. degree in Computer Science from UCLA with an Outstanding Recognition in Research Award. His research has been featured by New Scientist, the UCLA Headlines, and the IEEE Xplore Innovation Spotlight; and has won Best Paper Honorable Mention Awards at 3DV and CHI conferences. He received an NSF CRII award and an NSF CAREER award for his research in computational design and virtual reality.
Agenda
6:30 pm - Introductions
6:40 pm - Presentation and Q&A
7:40 pm - Open Discussion
8:00 pm - Close
Register by noon on Wednesday, April 21, 2021.