Explicit estimation of visual uncertainty in human motion processing

Erich W. Graf, Paul A. Warren, Laurence T. Maloney

Research output: Contribution to journalArticle

Abstract

We examine whether human observers have explicit access to an estimate of their own uncertainty in extrapolating the motion trajectories of moving objects. Objects moved across a display area at constant speed changing direction at short time intervals. Each new direction was obtained by adding a random perturbation to the previous direction. The perturbation distribution was always symmetric with mean zero (no change in direction) but could differ in variability: objects with low directional variability tended to travel in straight lines while objects with high directional variability moved more erratically. Objects eventually disappeared behind the near edge of an occluder. Observers marked a 'capture region' along the far edge of the occluder that they estimated would contain the object when it re-emerged. We varied both occluder width and directional variability across trials and found that observers correctly compensated for these changes. We present a two-stage model of observer performance in which the visual system first estimates the directional variability of the object and then uses this estimate to set a capture region.

Original languageEnglish (US)
Pages (from-to)3050-3059
Number of pages10
JournalVision Research
Volume45
Issue number24
DOIs
StatePublished - Nov 2005

Fingerprint

Uncertainty
Direction compound

Keywords

  • Cue combination
  • Extrapolation
  • Motion
  • Statistical approaches

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

Cite this

Explicit estimation of visual uncertainty in human motion processing. / Graf, Erich W.; Warren, Paul A.; Maloney, Laurence T.

In: Vision Research, Vol. 45, No. 24, 11.2005, p. 3050-3059.

Research output: Contribution to journalArticle

Graf, Erich W. ; Warren, Paul A. ; Maloney, Laurence T. / Explicit estimation of visual uncertainty in human motion processing. In: Vision Research. 2005 ; Vol. 45, No. 24. pp. 3050-3059.
@article{b1de8ab610804c0ca616ebfcbcb687e6,
title = "Explicit estimation of visual uncertainty in human motion processing",
abstract = "We examine whether human observers have explicit access to an estimate of their own uncertainty in extrapolating the motion trajectories of moving objects. Objects moved across a display area at constant speed changing direction at short time intervals. Each new direction was obtained by adding a random perturbation to the previous direction. The perturbation distribution was always symmetric with mean zero (no change in direction) but could differ in variability: objects with low directional variability tended to travel in straight lines while objects with high directional variability moved more erratically. Objects eventually disappeared behind the near edge of an occluder. Observers marked a 'capture region' along the far edge of the occluder that they estimated would contain the object when it re-emerged. We varied both occluder width and directional variability across trials and found that observers correctly compensated for these changes. We present a two-stage model of observer performance in which the visual system first estimates the directional variability of the object and then uses this estimate to set a capture region.",
keywords = "Cue combination, Extrapolation, Motion, Statistical approaches",
author = "Graf, {Erich W.} and Warren, {Paul A.} and Maloney, {Laurence T.}",
year = "2005",
month = "11",
doi = "10.1016/j.visres.2005.08.007",
language = "English (US)",
volume = "45",
pages = "3050--3059",
journal = "Vision Research",
issn = "0042-6989",
publisher = "Elsevier Limited",
number = "24",

}

TY - JOUR

T1 - Explicit estimation of visual uncertainty in human motion processing

AU - Graf, Erich W.

AU - Warren, Paul A.

AU - Maloney, Laurence T.

PY - 2005/11

Y1 - 2005/11

N2 - We examine whether human observers have explicit access to an estimate of their own uncertainty in extrapolating the motion trajectories of moving objects. Objects moved across a display area at constant speed changing direction at short time intervals. Each new direction was obtained by adding a random perturbation to the previous direction. The perturbation distribution was always symmetric with mean zero (no change in direction) but could differ in variability: objects with low directional variability tended to travel in straight lines while objects with high directional variability moved more erratically. Objects eventually disappeared behind the near edge of an occluder. Observers marked a 'capture region' along the far edge of the occluder that they estimated would contain the object when it re-emerged. We varied both occluder width and directional variability across trials and found that observers correctly compensated for these changes. We present a two-stage model of observer performance in which the visual system first estimates the directional variability of the object and then uses this estimate to set a capture region.

AB - We examine whether human observers have explicit access to an estimate of their own uncertainty in extrapolating the motion trajectories of moving objects. Objects moved across a display area at constant speed changing direction at short time intervals. Each new direction was obtained by adding a random perturbation to the previous direction. The perturbation distribution was always symmetric with mean zero (no change in direction) but could differ in variability: objects with low directional variability tended to travel in straight lines while objects with high directional variability moved more erratically. Objects eventually disappeared behind the near edge of an occluder. Observers marked a 'capture region' along the far edge of the occluder that they estimated would contain the object when it re-emerged. We varied both occluder width and directional variability across trials and found that observers correctly compensated for these changes. We present a two-stage model of observer performance in which the visual system first estimates the directional variability of the object and then uses this estimate to set a capture region.

KW - Cue combination

KW - Extrapolation

KW - Motion

KW - Statistical approaches

UR - http://www.scopus.com/inward/record.url?scp=26044470455&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=26044470455&partnerID=8YFLogxK

U2 - 10.1016/j.visres.2005.08.007

DO - 10.1016/j.visres.2005.08.007

M3 - Article

VL - 45

SP - 3050

EP - 3059

JO - Vision Research

JF - Vision Research

SN - 0042-6989

IS - 24

ER -