BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251016T135134Z
LOCATION:Grand Hall L
DTSTART;TZID=America/Chicago:20251016T113000
DTEND;TZID=America/Chicago:20251016T123000
UID:HFESAM_ASPIRE 2025_sess159@linklings.com
SUMMARY:XR6: Understanding Human Performance and Physiological Responses i
 n XR
DESCRIPTION:Immersive VR for Evaluating Spatial Ability, Situation Awarene
 ss, and Psychophysiological Responses in Naval Aviation: A Preliminary Stu
 dy\n\nThis pilot study integrates immersive virtual reality (VR) and physi
 ological measures to develop an improved measure of spatial ability (SpA) 
 and situation awareness (SA) in U.S. Naval Aviation. Existing static measu
 res often suffer from limitations such as obtrusiveness, ceiling/floor eff
 ects, and ...\n\n\nAllison Bayro (Arizona State University), Shannon P.D. 
 McGarry (U.S. Naval Research Laboratory), Rebecca NeSmith (Naval Aerospace
  Medical Institute), Joseph T. Coyne (U.S. Naval Research Laboratory), and
  Heejin Jeong (Arizona State University)\n---------------------\nHeads Up!
  Using Head Sway Data to Predict VR Motion Sickness\n\nPrevious exposure t
 o cybersickness is regularly cited as a reason for not wanting to adopt VR
  platforms (Laurell et al., 2019). This study evaluated how changes to a u
 ser’s head motions, both in rotation and position, could be used as a pred
 ictor of cybersickness. \n\nThis study examined data fr...\n\n\nMorgan Sin
 ko, Thomas Ferris, Michael Do, and Sarvesh Navale (Texas A&M University)\n
 ---------------------\nRecurrence Quantification Analysis of Physiological
  Responses in Mixed Reality Environments: Exploring the Impact of Cognitiv
 e Workload\n\nAs mixed reality (MR) technologies become increasingly integ
 rated into training, healthcare, and manufacturing, accurately assessing c
 ognitive workload is essential for maintaining performance and preventing 
 mental overload. This study examines the potential of heart rate variabili
 ty (HRV) analysis ...\n\n\nKhalid Bello and Faisal Aqlan (University of Lo
 uisville)\n\nTrack: Extended Reality\n\nSession Chairs: Amelia Warden (Uni
 versity of Michigan) and Emily Fang (North Carolina State University)
END:VEVENT
END:VCALENDAR