Two sources of bias explain errors in facial age estimation

Accurate age estimates underpin our everyday social interactions, the provision of age-restricted services and police investigations. Previous work suggests that these judgements are error-prone, but the processes giving rise to these errors are not understood. Here, we present the first systematic...

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Main Authors: Colin W. G. Clifford, Tamara L. Watson, David White
Format: Article
Language:English
Published: The Royal Society 2018-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180841
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author Colin W. G. Clifford
Tamara L. Watson
David White
author_facet Colin W. G. Clifford
Tamara L. Watson
David White
author_sort Colin W. G. Clifford
collection DOAJ
description Accurate age estimates underpin our everyday social interactions, the provision of age-restricted services and police investigations. Previous work suggests that these judgements are error-prone, but the processes giving rise to these errors are not understood. Here, we present the first systematic test of bias in age estimation using a large database of standardized passport images of heterogeneous ages (n = 3948). In three experiments, we tested a range of perceiver age groups (n = 84), and found average age estimation error to be approximately 8 years. We show that this error can be attributed to two separable sources of bias. First, and accounting for the vast majority of variance, our results show an assimilative serial dependency whereby estimates are systematically biased towards the age of the preceding face. Second, younger faces are generally perceived to be older than they are, and older faces to be younger. In combination, these biases account for around 95% of variance in age estimates. We conclude that perception of age is modulated by representations that encode both a viewer's recent and normative exposure to faces. The finding that age perception is subject to strong top-down influences based on our immediate experience has implications for our understanding of perceptual processes involved in face perception, and for improving accuracy of age estimation in important real-world tasks.
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spelling doaj.art-49150110d948463db61d7770149e2ecd2022-12-22T02:44:15ZengThe Royal SocietyRoyal Society Open Science2054-57032018-01-0151010.1098/rsos.180841180841Two sources of bias explain errors in facial age estimationColin W. G. CliffordTamara L. WatsonDavid WhiteAccurate age estimates underpin our everyday social interactions, the provision of age-restricted services and police investigations. Previous work suggests that these judgements are error-prone, but the processes giving rise to these errors are not understood. Here, we present the first systematic test of bias in age estimation using a large database of standardized passport images of heterogeneous ages (n = 3948). In three experiments, we tested a range of perceiver age groups (n = 84), and found average age estimation error to be approximately 8 years. We show that this error can be attributed to two separable sources of bias. First, and accounting for the vast majority of variance, our results show an assimilative serial dependency whereby estimates are systematically biased towards the age of the preceding face. Second, younger faces are generally perceived to be older than they are, and older faces to be younger. In combination, these biases account for around 95% of variance in age estimates. We conclude that perception of age is modulated by representations that encode both a viewer's recent and normative exposure to faces. The finding that age perception is subject to strong top-down influences based on our immediate experience has implications for our understanding of perceptual processes involved in face perception, and for improving accuracy of age estimation in important real-world tasks.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180841social visionperson perceptionageingface perceptionserial dependency
spellingShingle Colin W. G. Clifford
Tamara L. Watson
David White
Two sources of bias explain errors in facial age estimation
Royal Society Open Science
social vision
person perception
ageing
face perception
serial dependency
title Two sources of bias explain errors in facial age estimation
title_full Two sources of bias explain errors in facial age estimation
title_fullStr Two sources of bias explain errors in facial age estimation
title_full_unstemmed Two sources of bias explain errors in facial age estimation
title_short Two sources of bias explain errors in facial age estimation
title_sort two sources of bias explain errors in facial age estimation
topic social vision
person perception
ageing
face perception
serial dependency
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180841
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AT tamaralwatson twosourcesofbiasexplainerrorsinfacialageestimation
AT davidwhite twosourcesofbiasexplainerrorsinfacialageestimation