Temporal perception in vision : an examination of bottleneck models
The present work is an examination of the mechanisms underlying temporal processing in vision. Recent studies have shown that when observers are asked to identify two objects presented in rapid succession, identification of the first object is quite accurate, while identification of the second ob...
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ndltd-UBC-oai-circle.library.ubc.ca-2429-138242018-01-05T17:36:58Z Temporal perception in vision : an examination of bottleneck models Visser, Troy Anthony William Visual perception Attention Human information processing Short-term memory The present work is an examination of the mechanisms underlying temporal processing in vision. Recent studies have shown that when observers are asked to identify two objects presented in rapid succession, identification of the first object is quite accurate, while identification of the second object is poor when it folows the first at very brief inter-target intervals (i.e. 200-500 ms). This second-target deficit is known as the attentional blink. According to bottleneck models, the attentional blink occurs because processing of the first target prevents the second target from gaining access to high-level processing. A strong prediction of this account is that if processing time for the first target is increased, the magnitude of the attentional blink should also increase. This prediction is confirmed in experiments. It is argued that these results strongly support bottleneck models as an account of the attentional blink in particular and of temporal processing more generally. Arts, Faculty of Psychology, Department of Graduate 2009-10-09T18:53:54Z 2009-10-09T18:53:54Z 2001 2001-11 Text Thesis/Dissertation http://hdl.handle.net/2429/13824 eng For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. 5612233 bytes application/pdf |
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Others
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Visual perception Attention Human information processing Short-term memory |
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Visual perception Attention Human information processing Short-term memory Visser, Troy Anthony William Temporal perception in vision : an examination of bottleneck models |
description |
The present work is an examination of the mechanisms underlying temporal processing in
vision. Recent studies have shown that when observers are asked to identify two objects
presented in rapid succession, identification of the first object is quite accurate, while
identification of the second object is poor when it folows the first at very brief inter-target
intervals (i.e. 200-500 ms). This second-target deficit is known as the attentional blink.
According to bottleneck models, the attentional blink occurs because processing of the first
target prevents the second target from gaining access to high-level processing. A strong
prediction of this account is that if processing time for the first target is increased, the
magnitude of the attentional blink should also increase. This prediction is confirmed in experiments. It is argued that these results strongly support bottleneck models as an account
of the attentional blink in particular and of temporal processing more generally. === Arts, Faculty of === Psychology, Department of === Graduate |
author |
Visser, Troy Anthony William |
author_facet |
Visser, Troy Anthony William |
author_sort |
Visser, Troy Anthony William |
title |
Temporal perception in vision : an examination of bottleneck models |
title_short |
Temporal perception in vision : an examination of bottleneck models |
title_full |
Temporal perception in vision : an examination of bottleneck models |
title_fullStr |
Temporal perception in vision : an examination of bottleneck models |
title_full_unstemmed |
Temporal perception in vision : an examination of bottleneck models |
title_sort |
temporal perception in vision : an examination of bottleneck models |
publishDate |
2009 |
url |
http://hdl.handle.net/2429/13824 |
work_keys_str_mv |
AT vissertroyanthonywilliam temporalperceptioninvisionanexaminationofbottleneckmodels |
_version_ |
1718589460234371072 |