The Efficiency of Demography in Face Perception

Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from f...
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Autor*in:	Colombatto, Clara [verfasserIn] Uddenberg, Stefan Scholl, Brian J.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Face perception Race perception Age perception Gender perception First impressions

Anmerkung:	© The Psychonomic Society, Inc. 2021

Übergeordnetes Werk:	Enthalten in: Perception & psychophysics - New York, NY : Springer, 1966, 83(2021), 8 vom: 24. Aug., Seite 3104-3117
Übergeordnetes Werk:	volume:83 ; year:2021 ; number:8 ; day:24 ; month:08 ; pages:3104-3117

Links:	Volltext

DOI / URN:	10.3758/s13414-021-02351-9

Katalog-ID:	SPR045406502

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520			\|a Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance.
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allfields	10.3758/s13414-021-02351-9 doi (DE-627)SPR045406502 (SPR)s13414-021-02351-9-e DE-627 ger DE-627 rakwb eng Colombatto, Clara verfasserin aut The Efficiency of Demography in Face Perception 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2021 Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. Face perception (dpeaa)DE-He213 Race perception (dpeaa)DE-He213 Age perception (dpeaa)DE-He213 Gender perception (dpeaa)DE-He213 First impressions (dpeaa)DE-He213 Uddenberg, Stefan aut Scholl, Brian J. aut Enthalten in Perception & psychophysics New York, NY : Springer, 1966 83(2021), 8 vom: 24. Aug., Seite 3104-3117 (DE-627)32818795X (DE-600)2045204-4 1532-5962 nnns volume:83 year:2021 number:8 day:24 month:08 pages:3104-3117 https://dx.doi.org/10.3758/s13414-021-02351-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2020 AR 83 2021 8 24 08 3104-3117
spelling	10.3758/s13414-021-02351-9 doi (DE-627)SPR045406502 (SPR)s13414-021-02351-9-e DE-627 ger DE-627 rakwb eng Colombatto, Clara verfasserin aut The Efficiency of Demography in Face Perception 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2021 Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. Face perception (dpeaa)DE-He213 Race perception (dpeaa)DE-He213 Age perception (dpeaa)DE-He213 Gender perception (dpeaa)DE-He213 First impressions (dpeaa)DE-He213 Uddenberg, Stefan aut Scholl, Brian J. aut Enthalten in Perception & psychophysics New York, NY : Springer, 1966 83(2021), 8 vom: 24. Aug., Seite 3104-3117 (DE-627)32818795X (DE-600)2045204-4 1532-5962 nnns volume:83 year:2021 number:8 day:24 month:08 pages:3104-3117 https://dx.doi.org/10.3758/s13414-021-02351-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2020 AR 83 2021 8 24 08 3104-3117
allfields_unstemmed	10.3758/s13414-021-02351-9 doi (DE-627)SPR045406502 (SPR)s13414-021-02351-9-e DE-627 ger DE-627 rakwb eng Colombatto, Clara verfasserin aut The Efficiency of Demography in Face Perception 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2021 Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. Face perception (dpeaa)DE-He213 Race perception (dpeaa)DE-He213 Age perception (dpeaa)DE-He213 Gender perception (dpeaa)DE-He213 First impressions (dpeaa)DE-He213 Uddenberg, Stefan aut Scholl, Brian J. aut Enthalten in Perception & psychophysics New York, NY : Springer, 1966 83(2021), 8 vom: 24. Aug., Seite 3104-3117 (DE-627)32818795X (DE-600)2045204-4 1532-5962 nnns volume:83 year:2021 number:8 day:24 month:08 pages:3104-3117 https://dx.doi.org/10.3758/s13414-021-02351-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2020 AR 83 2021 8 24 08 3104-3117
allfieldsGer	10.3758/s13414-021-02351-9 doi (DE-627)SPR045406502 (SPR)s13414-021-02351-9-e DE-627 ger DE-627 rakwb eng Colombatto, Clara verfasserin aut The Efficiency of Demography in Face Perception 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2021 Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. Face perception (dpeaa)DE-He213 Race perception (dpeaa)DE-He213 Age perception (dpeaa)DE-He213 Gender perception (dpeaa)DE-He213 First impressions (dpeaa)DE-He213 Uddenberg, Stefan aut Scholl, Brian J. aut Enthalten in Perception & psychophysics New York, NY : Springer, 1966 83(2021), 8 vom: 24. Aug., Seite 3104-3117 (DE-627)32818795X (DE-600)2045204-4 1532-5962 nnns volume:83 year:2021 number:8 day:24 month:08 pages:3104-3117 https://dx.doi.org/10.3758/s13414-021-02351-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2020 AR 83 2021 8 24 08 3104-3117
allfieldsSound	10.3758/s13414-021-02351-9 doi (DE-627)SPR045406502 (SPR)s13414-021-02351-9-e DE-627 ger DE-627 rakwb eng Colombatto, Clara verfasserin aut The Efficiency of Demography in Face Perception 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Psychonomic Society, Inc. 2021 Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. Face perception (dpeaa)DE-He213 Race perception (dpeaa)DE-He213 Age perception (dpeaa)DE-He213 Gender perception (dpeaa)DE-He213 First impressions (dpeaa)DE-He213 Uddenberg, Stefan aut Scholl, Brian J. aut Enthalten in Perception & psychophysics New York, NY : Springer, 1966 83(2021), 8 vom: 24. Aug., Seite 3104-3117 (DE-627)32818795X (DE-600)2045204-4 1532-5962 nnns volume:83 year:2021 number:8 day:24 month:08 pages:3104-3117 https://dx.doi.org/10.3758/s13414-021-02351-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2020 AR 83 2021 8 24 08 3104-3117
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author	Colombatto, Clara
spellingShingle	Colombatto, Clara misc Face perception misc Race perception misc Age perception misc Gender perception misc First impressions The Efficiency of Demography in Face Perception
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topic_title	The Efficiency of Demography in Face Perception Face perception (dpeaa)DE-He213 Race perception (dpeaa)DE-He213 Age perception (dpeaa)DE-He213 Gender perception (dpeaa)DE-He213 First impressions (dpeaa)DE-He213
topic	misc Face perception misc Race perception misc Age perception misc Gender perception misc First impressions
topic_unstemmed	misc Face perception misc Race perception misc Age perception misc Gender perception misc First impressions
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title	The Efficiency of Demography in Face Perception
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title_full	The Efficiency of Demography in Face Perception
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title_auth	The Efficiency of Demography in Face Perception
abstract	Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. © The Psychonomic Society, Inc. 2021
abstractGer	Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. © The Psychonomic Society, Inc. 2021
abstract_unstemmed	Abstract When we look at a face, we cannot help but “read” it: Beyond simply processing its identity, we also form robust impressions of both transient psychological states (e.g., surprise) and stable character traits (e.g., trustworthiness). But perhaps the most fundamental traits we extract from faces are their social demographics, for example, race, age, and gender. How much exposure is required to extract such properties? Curiously, despite extensive work on the temporal efficiency of extracting both higher-level social properties (such as competence and dominance) and more basic characteristics (such as identity and familiarity), this question remains largely unexplored for demography. We correlated observers’ percepts of the race/age/gender of unfamiliar faces viewed at several brief durations (and then masked) with their judgments after unlimited exposure. Performance reached asymptote by 100 ms, was above chance by only 33.33 ms, and had a similar temporal profile to detecting faces in the first place. This was true even when the property to be reported wasn’t revealed until after the face had disappeared, and when the faces were matched for several lower-level visual properties. Collectively, these results demonstrate that the extraction of demographic features from faces is highly efficient, and can truly be done at a glance. © The Psychonomic Society, Inc. 2021
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title_short	The Efficiency of Demography in Face Perception
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