Title |
On the particular vulnerability of face recognition to aging: a review of three hypotheses
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Published in |
Frontiers in Psychology, August 2015
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DOI | 10.3389/fpsyg.2015.01139 |
Pubmed ID | |
Authors |
Isabelle Boutet, Vanessa Taler, Charles A. Collin |
Abstract |
Age-related face recognition deficits are characterized by high false alarms to unfamiliar faces, are not as pronounced for other complex stimuli, and are only partially related to general age-related impairments in cognition. This paper reviews some of the underlying processes likely to be implicated in theses deficits by focusing on areas where contradictions abound as a means to highlight avenues for future research. Research pertaining to the three following hypotheses is presented: (i) perceptual deterioration, (ii) encoding of configural information, and (iii) difficulties in recollecting contextual information. The evidence surveyed provides support for the idea that all three factors are likely to contribute, under certain conditions, to the deficits in face recognition seen in older adults. We discuss how these different factors might interact in the context of a generic framework of the different stages implicated in face recognition. Several suggestions for future investigations are outlined. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Malaysia | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 2% |
Canada | 1 | 2% |
Unknown | 49 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 15 | 29% |
Student > Master | 8 | 16% |
Student > Bachelor | 8 | 16% |
Researcher | 5 | 10% |
Lecturer | 3 | 6% |
Other | 8 | 16% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
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Psychology | 26 | 51% |
Neuroscience | 7 | 14% |
Medicine and Dentistry | 3 | 6% |
Computer Science | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 1 | 2% |
Unknown | 10 | 20% |