Welcome to the upgraded MacSphere! We're putting the finishing touches on it; if you notice anything amiss, email macsphere@mcmaster.ca

Effects of aging on face perception: Exploring efficiency, noise & orientation

dc.contributor.advisorBennett, Patrick J
dc.contributor.advisorSekuler, Allison B
dc.contributor.authorCreighton, Sarah E
dc.contributor.departmentPsychologyen_US
dc.date.accessioned2022-01-31T02:57:15Z
dc.date.available2022-01-31T02:57:15Z
dc.date.issued2021
dc.description.abstractFace perception is impaired in a variety of ways in older adults, but the mechanisms underlying these changes remain unclear. A central theme of this dissertation is that task performance is constrained by two factors intrinsic to the observer: sources of random variability -- internal noise -- and the efficiency with which task-relevant stimulus information is utilized. This thesis uses several behavioural, psychophysical methods to examine how age-related changes in one or both of these factors affect face processing. Chapter 2 used the classification image (CI) method to characterize the spatial sampling patterns of younger and older observers performing a face discrimination task. Compared to younger adults, older adults used information in the eye/brow region less consistently and instead relied on relatively less informative regions such as the forehead. The differences in CIs accounted for the lower absolute efficiency that was found in older observers. Chapter 3 estimated internal noise and calculation efficiency by measuring threshold-vs.-noise (TvN) curves and response consistency in a face discrimination task. Compared to younger observers, older observers had higher additive internal noise and lower calculation efficiency, but the magnitude of multiplicative internal noise did not differ between age groups. Previous studies have shown that younger adults have a bias to rely on horizontal structure to discriminate and identify faces, and the magnitude of this so-called horizontal bias is correlated with identification accuracy. The experiments in Chapter 4 measured horizontal bias in younger and older adults, and found that age differences in horizontal bias account for some, but not all, of the age difference in face identification accuracy. In summary, my work demonstrates that additive (but not multiplicative) internal noise is greater in older adults, and that they are less efficient at sampling information that is conveyed by structure at different locations and orientations in a face.en_US
dc.description.degreeDoctor of Science (PhD)en_US
dc.description.degreetypeDissertationen_US
dc.description.layabstractOur experience of the visual environment results from perceptual processes in the brain. Many of these processes change with age, such as our ability to identify someone from a photograph of their face. Performance is influenced by both random variability, or "noise", within the observer and how efficiently we use task-relevant information in the visual environment. By systematically manipulating the amount of available stimulus information I assessed the contribution of these factors to older adults' judgements of facial identity, and characterized the information on which these decisions are based. These experiments are the first to consider how face perception in older adults is constrained by the combined effects of internal noise and the efficiency with which the visual system utilizes various sources of information. The results provide a number of directions for future research in the fields of face perception and age-related changes in complex pattern vision.en_US
dc.identifier.urihttp://hdl.handle.net/11375/27332
dc.language.isoenen_US
dc.subjectface perceptionen_US
dc.subjectagingen_US
dc.subjectclassification imageen_US
dc.subjectinternal noiseen_US
dc.subjectcalculation efficiencyen_US
dc.subjecthorizontal biasen_US
dc.subjectequivalent input noiseen_US
dc.subjectresponse consistencyen_US
dc.subjectorientation filteringen_US
dc.subjectvisual psychophysicsen_US
dc.titleEffects of aging on face perception: Exploring efficiency, noise & orientationen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Creighton_Sarah_E_2021December_PhD.pdf
Size:
5.63 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description: