Dissertations and Theses @ UNI
Award Winner
Recipient of the 2011 Outstanding Master's Thesis Award - Second Place.
To go to the Graduate Student Award Recipients collection page, click here.
Availability
Open Access Thesis
Keywords
Face perception; Race awareness;
Abstract
Face recognition is an important factor in everyday social interaction. Bruce and Young's (1986) model of face processing has been largely accepted as a model for face processing, however, it fails to account for differential processing based on race. MacLin and MacLin (in press) propose the presence of a cognitive gating mechanism (CGM) that suggests different processing strategies are used for in-group and out-group members. To date, the model has only been examined using novel stimuli. The present research examined the model using famous and nonfamous African-American and Caucasian faces to determine if the CGM adequately explains the recognition of familiar faces. Reaction times and eye-movements were recorded while participants completed a racial categorization task or famousness classification task. Results indicate that familiarity with a face indeed plays a role in the processing of own- and other-race faces. Reaction times and eye-movements differed as a function of race, fame, and task type. Implications for a modified version of the CGM and other existing face models are discussed.
Year of Submission
2010
Year of Award
2011 Award
Degree Name
Master of Arts
Department
Department of Psychology
First Advisor
Otto H. MacLin, Chair, Thesis Committee
Date Original
7-2010
Object Description
1 PDF file (vi, 63 pages)
Copyright
©2010 J. Daniel McCarthy
Language
en
File Format
application/pdf
Recommended Citation
McCarthy, J. Daniel, "Status is fine for the in-group but out-group members watch out: Examining an optimal model of face processing using eye-tracking" (2010). Dissertations and Theses @ UNI. 554.
https://scholarworks.uni.edu/etd/554
Comments
If you are the rightful copyright holder of this thesis and wish to have it removed from the Open Access Collection, please submit an email request to scholarworks@uni.edu. Include your name and clearly identify the thesis by full title and author as shown on the work.