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1
Individual differences and the multidimensional nature of face perception
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2
Trait Evaluations of Faces and Voices : Comparing Within and Between-Person Variability
Abstract: Human faces and voices are rich sources of information that can vary in many different ways. Most of the literature on face/voice perception has focused on understanding how people look and sound different to each other (between-person variability). However, recent studies highlight the ways in which the same person can look and sound different on different occasions (within-person variability). Across three experiments, we examined how within and between-person variability relate to one another for social trait impressions by collecting trait ratings attributed to multiple face images and voice recordings of the same people. We find that within-person variability in social trait evaluations is at least as great as between-person variability. Using different stimulus sets across experiments, trait impressions of voices are consistently more variable within people than between people—a pattern that is only evident occasionally when judging faces. Our findings highlight the importance of understanding within-person variability, showing how judgments of the same person can vary widely on different encounters and quantify how this pattern differs for voice and face perception. The work consequently has implications for theoretical models proposing that voices can be considered “auditory faces” and imposes limitations to the “kernel of truth” hypothesis of trait evaluations.
URL: https://doi.org/10.1037/xge0001019
https://eprints.whiterose.ac.uk/169308/
https://eprints.whiterose.ac.uk/169308/1/Lavan_Mileva_et_al_manuscript_accepted.pdf
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3
Multiple-image arrays in face matching tasks with and without memory
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4
Trait evaluations of faces and voices: Comparing within- and between-person variability
In: J Exp Psychol Gen (2021)
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5
Individual differences in face identity processing
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6
Individual differences in face identity processing
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7
Face Recognition by Metropolitan Police Super-Recognisers
Robertson, David J.; Noyes, Eilidh; Dowsett, Andrew J.. - : Public Library of Science, 2016
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8
Face Recognition by Metropolitan Police Super-Recognisers
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9
Face recognition by Metropolitan Police super-recognisers
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10
Arguments Against a Configural Processing Account of Familiar Face Recognition
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11
Tolerance for distorted faces: Challenges to a configural processing account of familiar face recognition
In: Cognition. - Amsterdam [u.a] : Elsevier 132 (2014) 3, 262-268
OLC Linguistik
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12
Feedback training for facial image comparison
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13
Viewers extract mean and individual identity from sets of famous faces
In: Cognition. - Amsterdam [u.a] : Elsevier 128 (2013) 1, 56-63
OLC Linguistik
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14
Stable face representations
Jenkins, Rob; Burton, A. Mike. - : The Royal Society, 2011
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15
The Role of Color in Human Face Detection
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 33 (2009) 6, 1144-1156
OLC Linguistik
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16
N250 ERP correlates of the acquisition of face representations across different images
In: Journal of cognitive neuroscience. - Cambridge, Mass. : MIT Press Journals 21 (2009) 4, 625-641
BLLDB
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17
The role of verbal processing at different stages of recognition memory for faces
In: The European journal of cognitive psychology. - Basingstoke : Psychology Press 20 (2008) 3, 478-496
BLLDB
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18
Attention capture by faces
In: Cognition. - Amsterdam [u.a] : Elsevier 107 (2008) 1, 330-342
OLC Linguistik
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19
Brain potential correlates of face recognition: Geometric distortions and the N250r brain response to stimulus repetitions
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20
A Bottleneck in Face Identification: Repetition Priming from Flanker Images
Bindemann, Markus; Jenkins, Rob; Burton, A. Mike. - : Hogrefe & Huber, 2007
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