Literature DB >> 33734774

Trait evaluations of faces and voices: Comparing within- and between-person variability.

Nadine Lavan1, Mila Mileva2, A Mike Burton2, Andrew W Young2, Carolyn McGettigan1.   

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. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Year:  2021        PMID: 33734774      PMCID: PMC7612101          DOI: 10.1037/xge0001019

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  52 in total

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Authors:  Clare A M Sutherland; Andrew W Young; Gillian Rhodes
Journal:  Br J Psychol       Date:  2016-07-22

Review 6.  Are We Face Experts?

Authors:  Andrew W Young; A Mike Burton
Journal:  Trends Cogn Sci       Date:  2017-12-15       Impact factor: 20.229

Review 7.  Face and Voice Perception: Understanding Commonalities and Differences.

Authors:  Andrew W Young; Sascha Frühholz; Stefan R Schweinberger
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Authors:  Nadine Lavan; Mila Mileva; Carolyn McGettigan
Journal:  Br J Psychol       Date:  2020-05-23

9.  Why has research in face recognition progressed so slowly? The importance of variability.

Authors:  A Mike Burton
Journal:  Q J Exp Psychol (Hove)       Date:  2013-06-07       Impact factor: 2.143

10.  Inter-rater agreement in trait judgements from faces.

Authors:  Robin S S Kramer; Mila Mileva; Kay L Ritchie
Journal:  PLoS One       Date:  2018-08-17       Impact factor: 3.240

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  2 in total

1.  A data-driven, hyper-realistic method for visualizing individual mental representations of faces.

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2.  Unimodal and cross-modal identity judgements using an audio-visual sorting task: Evidence for independent processing of faces and voices.

Authors:  Nadine Lavan; Harriet M J Smith; Carolyn McGettigan
Journal:  Mem Cognit       Date:  2021-07-12
  2 in total

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