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DTSTAMP:20240214T070245Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T165000
DTEND;TZID=Australia/Melbourne:20231213T170500
UID:siggraphasia_SIGGRAPH Asia 2023_sess126_papers_282@linklings.com
SUMMARY:The Shortest Route Is Not Always the Fastest: Probability-Modeled 
 Stereoscopic Eye Movement Completion Time in VR
DESCRIPTION:Technical Communications, Technical Papers\n\nBudmonde Duinkha
 rjav and Benjamin Liang (New York University), Anjul Patney and Rachel Bro
 wn (NVIDIA Research), and Qi Sun (New York University)\n\nSpeed and consis
 tency of target-shifting play a crucial role in human ability to perform c
 omplex tasks. Shifting our gaze between objects of interest quickly and co
 nsistently requires changes both in depth and direction. Gaze changes in d
 epth are driven by slow, inconsistent vergence movements which rotate the 
 eyes in opposite directions, while changes in direction are driven by ball
 istic, consistent movements called saccades, which rotate the eyes in the 
 same direction. In the natural world, most of our eye movements are a comb
 ination of both types. While scientific consensus on the nature of saccade
 s exists, vergence and combined movements remain less understood and agree
 d upon.\n\nWe eschew the lack of scientific consensus in favor of proposin
 g an operationalized computational model which predicts the speed of any t
 ype of gaze movement during 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 observ
 ed gaze movements, and fit a probabilistic model to the data. We perform a
  series of objective measurements and user studies to validate the model. 
 The results demonstrate its predictive accuracy, generalization, as well a
 s applications for optimizing visual performance by altering content place
 ment. Lastly, we leverage the model to measure differences in human target
 -changing time relative to the natural world, as well as suggest scene-awa
 re projection depth. By incorporating the complexities and randomness of h
 uman oculomotor control, we hope this research will support new behavior-a
 ware metrics for VR/AR display design, interface layout, and gaze-continge
 nt rendering.\n\nRegistration Category: Full Access\n\nSession Chair: Jin 
 Ryong Kim (TBU)
URL:https://asia.siggraph.org/2023/full-program?id=papers_282&sess=sess126
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