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DTSTAMP:20240214T070242Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_282@linklings.com
SUMMARY:The Shortest Route Is Not Always the Fastest: Probability-Modeled 
 Stereoscopic Eye Movement Completion Time in VR
DESCRIPTION:Technical Papers\n\nBudmonde Duinkharjav and Benjamin Liang (N
 ew York University), Anjul Patney and Rachel Brown (NVIDIA Research), and 
 Qi Sun (New York University)\n\nSpeed and consistency of target-shifting p
 lay a crucial role in human ability to perform complex tasks. Shifting our
  gaze between objects of interest quickly and consistently requires change
 s both in depth and direction. Gaze changes in depth are driven by slow, i
 nconsistent vergence movements which rotate the eyes in opposite direction
 s, while changes in direction are driven by ballistic, consistent movement
 s called saccades, which rotate the eyes in the same direction. In the nat
 ural world, most of our eye movements are a combination of both types. Whi
 le scientific consensus on the nature of saccades exists, vergence and com
 bined movements remain less understood and agreed upon.\n\nWe eschew the l
 ack of scientific consensus in favor of proposing an operationalized compu
 tational model which predicts the speed of any type of gaze movement durin
 g target-shifting in 3D. To this end, we conduct a psychophysical study in
  a stereo VR environment to collect more than 12,000 gaze movement trials,
  analyze the temporal distribution of the observed gaze movements, and fit
  a probabilistic model to the data. We perform a series of objective measu
 rements and user studies to validate the model. The results demonstrate it
 s predictive accuracy, generalization, as well as applications for optimiz
 ing visual performance by altering content placement. Lastly, we leverage 
 the model to measure differences in human target-changing time relative to
  the natural world, as well as suggest scene-aware projection depth. By in
 corporating the complexities and randomness of human oculomotor control, w
 e hope this research will support new behavior-aware metrics for VR/AR dis
 play design, interface layout, and gaze-contingent rendering.\n\nRegistrat
 ion Category: Full Access, Enhanced Access, Trade Exhibitor, Experience Ha
 ll Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_282&sess=sess209
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