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The Visual System Prioritizes High-Level Scene Properties for Attentional Selection
Peacock, Candace Elise. - : eScholarship, University of California, 2021
Abstract: As we sample the world via shifts in gaze, the visual system filters out irrelevant information to prioritize the most relevant visual input. However, there is debate regarding why one source of information is selected over another for attention. The literature has suggested that the physical salience of image features is a dominant guidance factor in scene perception. However, cognitive relevance theory suggests that it is actually scene meaning (our knowledge of the world) that guides attention. Because meaning and image salience are correlated but have been represented differently in the literature, however, it has previously been impossible to test whether meaning or image salience uniquely predict attention when they are represented in the same format. To test their unique contributions to attention, Chapters 2 and 3 tested whether attention, as operationalized by fixation densities, was more related to meaning maps, which capture the spatial distribution of semantic densities in real-world scenes, or to saliency maps, which capture the spatial distribution of physically conspicuous features in scenes. Chapter 2 used a task in which viewers were instructed to count bright patches in scenes or rate the overall brightness of scenes while their eye movements were recorded. This resulted in image salience being task-relevant and meaning being task-irrelevant. Despite its task-irrelevance, meaning predicted fixation densities uniquely whereas image salience did not. A caveat of Chapter 2, however, is that the task required that eye movements be directed to scene-dependent information, thereby conflating whether the task was truly meaning-independent. To remedy this, Chapter 3 employed a free viewing task that did not require participants to attend to meaning or salience. Here, it was found that even during free viewing, meaning continued to explain the overall and unique patterns of attention significantly better than image salience. Together, these findings suggest that the visual system selects meaningful information for attentional selection, as consistent with cognitive relevance theory. Finally, prior work has combined spatial constraint (knowledge of where objects are located in scenes) and image salience to predict where fixations are directed during visual search. Given that meaning uniquely predicts attention beyond image salience, however, Chapter 4 therefore tested whether combining spatial constraint and meaning also predicts eye movements during visual search. Here, meaning was represented as meaning maps and spatial constraint was represented as surface maps that represented the likely locations of target objects as continuous probabilities. The results showed that combining spatial constraint and meaning predicted eye movements better than spatial constraint or meaning alone. This suggested that the visual system selects meaningful regions that appear on surfaces related to visual search targets for fixation. These findings collectively demonstrate that the human visual system prioritizes scene regions that contain meaningful content based upon our knowledge of the world for attention. This has implications for cognitive relevance theory which describes how humans orient attention in the real world and may help inform technologies that reduce distractions.
Keyword: attention; Cognitive psychology; eye movements; meaning; saliency; scene perception
URL: https://escholarship.org/uc/item/18z5c48h
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2
Perceptual Models of Machine-Edited Text ...
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3
Why do we retrace our visual steps? Semantic and episodic memory in gaze reinstatement
In: Learn Mem (2020)
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4
Where the Action Could Be: Speakers Look at Graspable Objects and Meaningful Scene Regions when Describing Potential Actions
In: J Exp Psychol Learn Mem Cogn (2020)
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5
Meaning and Attentional Guidance in Scenes: A Review of the Meaning Map Approach
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Meaning Guides Attention During Scene Viewing Even When It Is Irrelevant
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Meaning Guides Attention during Real-World Scene Description.
In: Scientific reports, vol 8, iss 1 (2018)
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8
Task-Related Differences in Eye Movements in Individuals With Aphasia
Smith, Kimberly G.; Schmidt, Joseph; Wang, Bin. - : Frontiers Media S.A., 2018
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9
Meaning Guides Attention during Real-World Scene Description
Henderson, John M.; Hayes, Taylor R.; Rehrig, Gwendolyn. - : Nature Publishing Group UK, 2018
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10
Word Frequency Effects in Naturalistic Reading
In: Lang Cogn Neurosci (2018)
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11
Morphogrammata [<Journal>]
Squire, Michael Verfasser]. - Köln : Universitäts- und Stadtbibliothek Köln
DNB Subject Category Language
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12
The Predicament of Maya Textiles in the South Highlands of Guatemala: What is Authenticity and Where can I Buy it?
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13
Marie Curie Actions TAMEAL IRSES Deliverable D 2.2 - Second collection of TAMEAL papers
In: https://halshs.archives-ouvertes.fr/halshs-01428693 ; 2017 (2017)
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Lexical predictability during natural reading: Effects of surprisal and entropy reduction ...
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Electrophysiological Evidence for Preserved Primacy of Lexical Prediction in Normative Aging ...
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Morphogrammata / The lettered Art of Optatian. Figuring Cultural Transformations in the Age of Constantine
Squire, Michael; Wienand, Johannes; Kwapisz, Jan. - : Wilhelm Fink, 2017
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17
Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading.
Henderson, John M; Choi, Wonil; Lowder, Matthew W. - : eScholarship, University of California, 2016
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18
Eye movements in reading and information processing: Keith Rayner's 40 year legacy
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19
Toward Semantics in the Wild: Activation to Manipulable Nouns in Naturalistic Reading
Desai, Rutvik H.; Choi, Wonil; Lai, Vicky T.. - : Society for Neuroscience, 2016
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20
Linguistic Stratigraphy and Native Title: The Case of Ethnonyms
McConvell, Patrick. - : Aboriginal Studies Press, 2015
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