Open AccessSpatiotemporal integration and contour interpolation revealed by a dot localization task with serial presentation paradigm
Author(s) -
UNUMA HIDEYUKI,
HASEGAWA HISA,
KELLMAN PHILIP J.
Publication year - 2010
Publication title -
japanese psychological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 30
eISSN - 1468-5884
pISSN - 0021-5368
DOI - 10.1111/j.1468-5884.2010.00442.x
Subject(s) - task (project management) , methods of contour integration , artificial intelligence , interpolation (computer graphics) , computer vision , computer science , time delay and integration , object (grammar) , perception , limiting , series (stratigraphy) , pattern recognition (psychology) , communication , psychology , mathematics , motion (physics) , neuroscience , mathematical analysis , mechanical engineering , paleontology , engineering , management , economics , biology
The visual system seems to integrate information that is presented over time in a spatially fragmented fashion, with the result that observers are able to report the whole shape of objects. This research considers relations in space and time that allow the integrated percepts of complete objects. Specifically, temporal characteristics for spatiotemporal integration of illusory contour and spatial characteristics of interpolated contour are examined. A serial presentation paradigm and a dot localization task were used in two experiments; observers localized a probe dot relative to a perceived contour of an illusory object. Each of four inducing figures was briefly presented in a serial order to observers and the total time of the series was manipulated. In Experiment 1 short time ranges varied up to 180 ms, whereas longer times were examined in Experiment 2. Overall, the results demonstrate that a short time allows spatiotemporal integration, and that the perceived location of contour consistently shifts with time range. These experiments suggest that the mechanism of spatiotemporal integration operates on spatial integration as a limiting case.