Processing multiple physical features in facial recognition.
Michael R. Courtois,John Mueller +1 more
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TLDR
This paper showed that the number of features processed is as important to facial recognition as feature depth, and that under some circumstances encoding shallow attributes can produce durable memory traces, while the multiple physical features condition was significantly better than the single physical feature condition, though still slightly worse than the abstract trait condition.Abstract:
Subjects made decisions about a series of faces, then had a recognition test The study tasks required a decision about self-reference (does it look like you), an abstract trait (eg, friendliness), a single physical feature (eg, thickness of lips), or multiple physical features (which is the person’s most distinctive feature) As in past research, single physical feature decisions led to poorer performance than abstract trait decisions Of greater interest here, the multiple physical feature condition was significantly better than the single physical feature condition, though still slightly worse than the abstract trait condition These results indicate that the number of features processed is as important to facial recognition as feature “depth,” and that under some circumstances encoding “shallow” attributes can produce durable memory tracesread more
Citations
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Elaboration and distinctiveness in memory for faces.
TL;DR: This research attempts to account for the finding that faces that have been judged with reference to traits such as honesty or friendliness are better remembered than faces judged with respect to a physical feature.
Journal ArticleDOI
Face Processing Systems: From Neurons to Real-World Social Perception
TL;DR: This work has shown that the functional similarities of the face-selective areas in humans and macaques indicate they are homologous, and this has important implications for consequential situations such as eyewitness identification and policing.
Journal ArticleDOI
Deep-deeper-deepest? Encoding strategies and the recognition of human faces
TL;DR: Three experiments systematically compared a total of 8 different encoding strategies manipulating depth of processing, amount of elaboration, and self-generation of judgmental categories and found the consistently worst groups were the ones that rated faces along preselected physical dimensions.
Journal ArticleDOI
Face-Recognition Memory: Implications for Children's Eyewitness Testimony
TL;DR: The authors reviewed studies pertaining to face-recognition memory and attempt to derive implications for assessing the dependability of children's performances as eyewitnesses and identified important developmental questions for future research.
Journal ArticleDOI
The roles of perceptual and conceptual information in face recognition.
Linoy Schwartz,Galit Yovel +1 more
TL;DR: Findings suggest that association of meaningful conceptual information with an image shifts its representation from an image-based percept to a view-invariant concept and indicate that the role of conceptual information should be considered to account for the superior recognition that the authors have for familiar faces and objects.
References
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Levels of processing: A framework for memory research
TL;DR: This paper reviewed the evidence for multistore theories of memory and pointed out some difficulties with the approach and proposed an alternative framework for human memory research in terms of depth or levels of processing.
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Self-reference and the encoding of personal information.
TL;DR: The degree to which the self is implicated in processing personal information was investigated in this paper, where subjects rated adjectives on four tasks designed to force varying kinds of encoding: structural, phonemic, semantic, and self-reference.
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Nonparametric indexes for sensitivity and bias: computing formulas.
TL;DR: Computing formulas are derived for two nonparametric indexes of sensitivity and bias that have been suggested for signal detectability studies, and a relationship is shown between the sensitivity index and P(I), a statistic whose sampling variability is known.
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Depth of processing pictures of faces and recognition memory
Gordon H. Bower,Martin B. Karlin +1 more
TL;DR: For instance, Craik and Lockhart as discussed by the authors argued that the depth of processing of stimulus material is a direct determinant of how well a stimulus material will be remembered, and showed that the extent to which a stimulus is processed through a series of stages with different kinds of information being extracted from or triggered off by the stimulus at successive stages.
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