Retroactive Adjustement of Perceived Time

We investigated how subjects perceive the temporal relationship of a light-flash and a complex acoustic signal. The stimulus mimics ubiquitous events in busy scenes which are manifested as a change in the pattern of ongoing fluctuation. Detecting pattern emergence inherently requires integration ove...

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Main Author: Maria Chait
Format: Article
Language:English
Published: SAGE Publishing 2011-10-01
Series:i-Perception
Online Access:https://doi.org/10.1068/ic831
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spelling doaj-4028a16569c3491eb34093c36146f4e92020-11-25T03:29:30ZengSAGE Publishingi-Perception2041-66952011-10-01210.1068/ic83110.1068_ic831Retroactive Adjustement of Perceived TimeMaria Chait0University College LondonWe investigated how subjects perceive the temporal relationship of a light-flash and a complex acoustic signal. The stimulus mimics ubiquitous events in busy scenes which are manifested as a change in the pattern of ongoing fluctuation. Detecting pattern emergence inherently requires integration over time; resulting in such events being detected later than when they occurred. How does delayed detection-time affect the perception of such events relative to other events in the scene? To model these situations, we use sequences of tone-pips with a time-frequency pattern that changes from random to regular (‘REG-RAND’) or vice versa (‘RAND-REG’). REG-RAND transitions are detected rapidly, but RAND-REG take longer to detect (∼880ms post nominal-transition). Using a Temporal Order Judgment task, we instructed subjects to indicate whether the flash appeared before or after the acoustic transition. The point of subjective simultaneity between the flash and RAND-REG does not occur at the point of detection (∼880ms post nominal-transition) but ∼470ms closer to the nominal acoustic-transition. This indicates that the brain possesses mechanisms that survey the proximal history of an ongoing stimulus and automatically adjust perception to compensate for prolonged detection time, thus producing more accurate representations of cross-modal scene dynamics. However, this re-adjustment is not complete.https://doi.org/10.1068/ic831
collection DOAJ
language English
format Article
sources DOAJ
author Maria Chait
spellingShingle Maria Chait
Retroactive Adjustement of Perceived Time
i-Perception
author_facet Maria Chait
author_sort Maria Chait
title Retroactive Adjustement of Perceived Time
title_short Retroactive Adjustement of Perceived Time
title_full Retroactive Adjustement of Perceived Time
title_fullStr Retroactive Adjustement of Perceived Time
title_full_unstemmed Retroactive Adjustement of Perceived Time
title_sort retroactive adjustement of perceived time
publisher SAGE Publishing
series i-Perception
issn 2041-6695
publishDate 2011-10-01
description We investigated how subjects perceive the temporal relationship of a light-flash and a complex acoustic signal. The stimulus mimics ubiquitous events in busy scenes which are manifested as a change in the pattern of ongoing fluctuation. Detecting pattern emergence inherently requires integration over time; resulting in such events being detected later than when they occurred. How does delayed detection-time affect the perception of such events relative to other events in the scene? To model these situations, we use sequences of tone-pips with a time-frequency pattern that changes from random to regular (‘REG-RAND’) or vice versa (‘RAND-REG’). REG-RAND transitions are detected rapidly, but RAND-REG take longer to detect (∼880ms post nominal-transition). Using a Temporal Order Judgment task, we instructed subjects to indicate whether the flash appeared before or after the acoustic transition. The point of subjective simultaneity between the flash and RAND-REG does not occur at the point of detection (∼880ms post nominal-transition) but ∼470ms closer to the nominal acoustic-transition. This indicates that the brain possesses mechanisms that survey the proximal history of an ongoing stimulus and automatically adjust perception to compensate for prolonged detection time, thus producing more accurate representations of cross-modal scene dynamics. However, this re-adjustment is not complete.
url https://doi.org/10.1068/ic831
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