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HaggitDissertation.pdf (3.37 MB)
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Abstract Header
A Computational Model of the Temporal Processing Characteristics of Visual Priming in Search
Author Info
Haggit, Jordan M.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1484255853867357
Abstract Details
Year and Degree
2016, Doctor of Philosophy (PhD), Wright State University, Human Factors and Industrial/Organizational Psychology PhD.
Abstract
When people look through the environment their eyes are guided in part by what they have recently seen. This phenomenon, referred to as visual priming, is studied in the laboratory through manipulations of stimulus repetition. Typically, in search tasks, response times are speeded when the same target is repeated relative to when it is changed (e.g., Maljkovic & Nakayama, 1994). Although priming is thought to be based on a memory mechanism in the visual system, there is a debate in the literature as to whether such a mechanism is driven by relatively early (e.g., feature-based accounts) or later (e.g., episodic memory accounts) processing. Across three experiments, this dissertation utilized a computational modeling framework (Systems Factorial Technology; Townsend & Nozawa, 1995) to directly compare early and later accounts of priming and determine when visual priming is processed within the visual system in both feature and conjunctive search tasks. Specifically, priming was assessed in terms of its temporal relation (i.e., parallel or serial) to a relatively early process (the processing of conspicuity) and a relatively later process (the processing of Rewards, Experiment 1a; the processing of Word Cues, Experiments 1b and 2) in the visual system. The results suggest that the priming manipulation is processed in parallel with the conspicuity and word cue manipulations within both singleton (Experiments 1a and 1b) and conjunctive (Experiment 2) search. This supports accounts of priming as an early process and suggest that models of priming as a later process within feature or conjunctive search should be rejected. Further, these results also provide evidence to suggest word cues are processed at early stages of visual processing. This supports models of visual processing that suggest high-level representations can modulate the earliest levels of the visual system. Together, these findings provide some of the strongest evidence about the temporal processing characteristics of priming in visual search to date.
Committee
Joseph Houpt, Ph.D. (Committee Chair)
Assaf Harel, Ph.D. (Committee Member)
Scott Watamaniuk, Ph.D. (Committee Member)
Alan Pinkus, Ph.D. (Committee Member)
Pages
221 p.
Subject Headings
Cognitive Psychology
;
Experimental Psychology
;
Psychology
Keywords
attention
;
visual search
;
visual priming
;
target repetition
;
systems factorial technology
;
computational modeling
;
mathematical modeling, attentional control
;
vision
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Citations
Haggit, J. M. (2016).
A Computational Model of the Temporal Processing Characteristics of Visual Priming in Search
[Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1484255853867357
APA Style (7th edition)
Haggit, Jordan.
A Computational Model of the Temporal Processing Characteristics of Visual Priming in Search.
2016. Wright State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1484255853867357.
MLA Style (8th edition)
Haggit, Jordan. "A Computational Model of the Temporal Processing Characteristics of Visual Priming in Search." Doctoral dissertation, Wright State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1484255853867357
Chicago Manual of Style (17th edition)
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Document number:
wright1484255853867357
Download Count:
438
Copyright Info
© 2016, some rights reserved.
A Computational Model of the Temporal Processing Characteristics of Visual Priming in Search by Jordan M. Haggit is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.