Explicit estimation of visual uncertainty in human motion processing
Explicit estimation of visual uncertainty in human motion processing
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.
cue combination, statistical approaches, motion, extrapolation
3050-3059
Graf, Erich W.
1a5123e2-8f05-4084-a6e6-837dcfc66209
Warren, Paul A.
cefe7959-f7e9-4e16-a92a-430f48e0fb91
Maloney, Laurence T.
bd7d39dc-32c8-4fb9-b298-7ec32c2e5585
2005
Graf, Erich W.
1a5123e2-8f05-4084-a6e6-837dcfc66209
Warren, Paul A.
cefe7959-f7e9-4e16-a92a-430f48e0fb91
Maloney, Laurence T.
bd7d39dc-32c8-4fb9-b298-7ec32c2e5585
Graf, Erich W., Warren, Paul A. and Maloney, Laurence T.
(2005)
Explicit estimation of visual uncertainty in human motion processing.
Vision Research, 45 (24), .
(doi:10.1016/j.visres.2005.08.007).
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.
This record has no associated files available for download.
More information
Published date: 2005
Keywords:
cue combination, statistical approaches, motion, extrapolation
Identifiers
Local EPrints ID: 40154
URI: http://eprints.soton.ac.uk/id/eprint/40154
ISSN: 0042-6989
PURE UUID: 60c6df17-fd9d-4ae0-a0e9-e136ff0f40a7
Catalogue record
Date deposited: 04 Jul 2006
Last modified: 16 Mar 2024 03:39
Export record
Altmetrics
Contributors
Author:
Paul A. Warren
Author:
Laurence T. Maloney
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics