Effects of working memory load on visual crowding?
Visual crowding refers to the phenomenon in which recognition becomes difficult when objects are cluttered at the peripheral visual field. Many hypotheses have been proposed regarding its underlying mechanisms. This paper broadly categorized them into the following, the Bottom-Up approach and the...
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sg-ntu-dr.10356-710902019-12-10T12:23:08Z Effects of working memory load on visual crowding? Pang, Wei Hao Gerrit Maus School of Humanities and Social Sciences DRNTU::Social sciences::Psychology Visual crowding refers to the phenomenon in which recognition becomes difficult when objects are cluttered at the peripheral visual field. Many hypotheses have been proposed regarding its underlying mechanisms. This paper broadly categorized them into the following, the Bottom-Up approach and the Top-Down approach. While the bottom-up approach posits that crowding is caused by the cortical neural physiology, the top-down approach posits that attentional processes are the underlying mechanisms. This paper focused on the latter, particularly, the mediating role of attentional distribution on crowding. The attentional distribution was manipulated by loading the working memory (WM). Participants had to memorize strings of either random or similar digits in order to induce a high or low WM load. Following which, they were required to identify the orientation of peripheral targets which were flanked by four other distractors. Accuracy performance was then compared across the two load conditions. Results showed that there was no significant difference in terms of both overall accuracy and their respective PSEs. The null findings, however, are suggested to reflect the presence of confounds, namely the temporal property of attentional distribution and the dissociation between WM’s subsidiary systems. As such, the effects of WM on crowding remains to be tested. Bachelor of Arts 2017-05-15T04:31:28Z 2017-05-15T04:31:28Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71090 en Nanyang Technological University 35 p. application/pdf |
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DRNTU::Social sciences::Psychology Pang, Wei Hao Effects of working memory load on visual crowding? |
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Visual crowding refers to the phenomenon in which recognition becomes difficult when objects
are cluttered at the peripheral visual field. Many hypotheses have been proposed regarding its
underlying mechanisms. This paper broadly categorized them into the following, the Bottom-Up
approach and the Top-Down approach. While the bottom-up approach posits that crowding is
caused by the cortical neural physiology, the top-down approach posits that attentional processes
are the underlying mechanisms. This paper focused on the latter, particularly, the mediating role
of attentional distribution on crowding. The attentional distribution was manipulated by loading
the working memory (WM). Participants had to memorize strings of either random or similar
digits in order to induce a high or low WM load. Following which, they were required to identify
the orientation of peripheral targets which were flanked by four other distractors. Accuracy
performance was then compared across the two load conditions. Results showed that there was
no significant difference in terms of both overall accuracy and their respective PSEs. The null
findings, however, are suggested to reflect the presence of confounds, namely the temporal
property of attentional distribution and the dissociation between WM’s subsidiary systems. As
such, the effects of WM on crowding remains to be tested. |
author2 |
Gerrit Maus |
author_facet |
Gerrit Maus Pang, Wei Hao |
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Final Year Project |
author |
Pang, Wei Hao |
author_sort |
Pang, Wei Hao |
title |
Effects of working memory load on visual crowding? |
title_short |
Effects of working memory load on visual crowding? |
title_full |
Effects of working memory load on visual crowding? |
title_fullStr |
Effects of working memory load on visual crowding? |
title_full_unstemmed |
Effects of working memory load on visual crowding? |
title_sort |
effects of working memory load on visual crowding? |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/71090 |
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1681043828868382720 |