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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-4616
DTSTART:20171003T170500Z
DTEND:20171003T180000Z
DTSTAMP:20260414T193510Z
LAST-MODIFIED:20170830T165001Z
LOCATION:4274 Chamberlin (refreshments will be served)
SUMMARY:Systematic misperceptions of 3D motion explained by Bayesian i
 nference\, Chaos & Complex Systems Seminar\, Bas Rokers\, UW Departmen
 t of Psychology
DESCRIPTION:Over the years\, a number of surprising\, but seemingly un
 related errors in 3D motion perception have been reported. Given the r
 elevance of accurate motion perception to our everyday life\, it is im
 portant to understand the cause of these perceptual errors. <br>
\n<br
 >
\nWe considered that these perceptual errors might arise as a natura
 l consequence of estimating motion direction given sensory noise and t
 he geometry of 3D viewing. We characterized the retinal motion signals
  produced by objects moving along arbitrary trajectories through three
  dimensions and developed a Bayesian model of perceptual inference. Th
 e model predicted a number of known errors\, including a lateral bias 
 in the perception of motion trajectories\, and a dependency of this bi
 as on stimulus contrast and viewing distance. The model also predicted
  a number of previously unknown errors\, including a dependency of per
 ceptual bias on eccentricity\, and a surprising tendency to misreport 
 approaching motion as receding and vice versa.<br>
\n<br>
\nWe then us
 ed standard 3D displays as well as a virtual reality (VR) headsets to 
 test these predictions in naturalistic settings\, and established that
  people make the predicted errors.<br>
\n<br>
\nIn sum\, we developed 
 a quantitative model of 3D motion perception and provided a parsimonio
 us account for a range of systematic perceptual errors in naturalistic
  environments.
URL:https://www.physics.wisc.edu/events/?id=4616
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