Date of Graduation
8-2016
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Psychology (PhD)
Degree Level
Graduate
Department
Psychological Science
Advisor/Mentor
James M. Lampinen
Committee Member
Denise Beike
Second Committee Member
Nathan Parks
Keywords
Biological sciences, Psychology, Face perception, Face recognition, Learning, Memory
Abstract
Face recognition is a problem that has theoretical and applied value. However, the fact of facial aging is rarely addressed in research and unmentioned in the major theories of face recognition. Facial aging also has ramifications for missing persons and fugitive cases, confounding attempts by law enforcement to recover these people whose last known images are years or decades out of date. This dissertation reports three studies aimed at measuring baseline age-gap recognition ability and testing various training regimens designed to increase accuracy rates for this unique kind of recognition task.
Citation
Erickson, W. B. (2016). Recognition Training for Faces Across Age Gaps. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/1641
Included in
Cognitive Neuroscience Commons, Cognitive Psychology Commons, Experimental Analysis of Behavior Commons