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DTSTART:20210314T030000
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DTSTAMP:20210423T180309Z
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DTSTART;TZID=America/New_York:20210421T183000
DTEND;TZID=America/New_York:20210421T200000
DESCRIPTION:Dr. Yu will discuss how automatically synthesized virtual train
 ing content can unlock the potential of virtual reality for a number of co
 mpelling and novel training applications. In particular\, he will discuss 
 how to apply optimization and machine learning approaches to generate a la
 rge variety of virtual environments\, from apartments\, restaurants\, fact
 ories\, train stations\, to shopping malls. Paired with a trainee's perfor
 mance data such as perception and behavior tracked in VR\, these approache
 s can also incorporate personal factors including skill levels\, weaknesse
 s\, preferences\, and training goals for synthesizing personalized virtual
  training experiences. One can also realize smart interfaces such as adapt
 ive VR/AR navigation aids driven by gaze. Dr. Yu will illustrate the appro
 aches with a number of training examples such as earthquake safety trainin
 g\, driving training\, and body fitness training in virtual reality.\n\nSp
 eaker(s): Craig Yu\, \n\nAgenda: \n6:30 pm - Introductions\n\n6:40 pm - Pr
 esentation and Q&A\n\n7:40 pm - Open Discussion\n\n8:00 pm - Close\n\nVirt
 ual: https://events.vtools.ieee.org/m/266335
LOCATION:Virtual: https://events.vtools.ieee.org/m/266335
ORGANIZER:schulman@computer.org
SEQUENCE:2
SUMMARY:Performance-Guided Synthesis of Personalized Virtual Environments f
 or the Future of Work and Training
URL;VALUE=URI:https://events.vtools.ieee.org/m/266335
X-ALT-DESC:Description: <br /><p><span style="caret-color: #000000\; color:
  #000000\; font-family: Calibri\, Arial\, Helvetica\, sans-serif\; font-si
 ze: 16px\; font-style: normal\; font-variant-caps: normal\; font-weight: n
 ormal\; letter-spacing: normal\; orphans: auto\; text-align: start\; text-
 indent: 0px\; text-transform: none\; white-space: normal\; widows: auto\; 
 word-spacing: 0px\; -webkit-text-size-adjust: auto\; -webkit-text-stroke-w
 idth: 0px\; text-decoration: none\; display: inline !important\; float: no
 ne\;">Dr. Yu will discuss how automatically synthesized virtual training c
 ontent can unlock the potential of virtual reality for a number of compell
 ing and novel training applications. In particular\, he will discuss how t
 o apply optimization and machine learning approaches to generate a large v
 ariety 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\, p
 references\, and training goals for synthesizing personalized virtual trai
 ning experiences. One can also realize smart interfaces such as adaptive V
 R/AR navigation aids driven by gaze. Dr. Yu will illustrate the approaches
  with a number of training examples such as earthquake safety training\, d
 riving training\, and body fitness training in virtual reality.</span></p>
 <br /><br />Agenda: <br /><p>6:30 pm - Introductions</p>\n<p>6:40 pm - Pre
 sentation and Q&amp\;A</p>\n<p>7:40 pm - Open Discussion</p>\n<p>8:00 pm -
  Close</p>
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