Expressive Faces Confuse Identity

We used highly variable, so-called ‘ambient’ images to test whether expressions affect the identity recognition of real-world facial images. Using movie segments of two actors unknown to our participants, we created image pairs – each image within a pair being captured from the same film segment. Th...

Full description

Bibliographic Details
Main Authors: Annabelle S. Redfern, Christopher P. Benton
Format: Article
Language:English
Published: SAGE Publishing 2017-09-01
Series:i-Perception
Online Access:https://doi.org/10.1177/2041669517731115
id doaj-3cf2aa52c17d42d3bd1fd3cc851b49cd
record_format Article
spelling doaj-3cf2aa52c17d42d3bd1fd3cc851b49cd2020-11-25T03:22:13ZengSAGE Publishingi-Perception2041-66952017-09-01810.1177/2041669517731115Expressive Faces Confuse IdentityAnnabelle S. RedfernChristopher P. BentonWe used highly variable, so-called ‘ambient’ images to test whether expressions affect the identity recognition of real-world facial images. Using movie segments of two actors unknown to our participants, we created image pairs – each image within a pair being captured from the same film segment. This ensured that, within pairs, variables such as lighting were constant whilst expressiveness differed. We created two packs of cards, one containing neutral face images, the other, their expressive counterparts. Participants sorted the card packs into piles, one for each perceived identity. As with previous studies, the perceived number of identities was higher than the veridical number of two. Interestingly, when looking within piles, we found a strong difference between the expressive and neutral sorting tasks. With expressive faces, identity piles were significantly more likely to contain cards of both identities. This finding demonstrates that, over and above other image variables, expressiveness variability can cause identity confusion; evidently, expression is not disregarded or factored out when we classify facial identity in real-world images. Our results provide clear support for a face processing architecture in which both invariant and changeable facial information may be drawn upon to drive our decisions of identity.https://doi.org/10.1177/2041669517731115
collection DOAJ
language English
format Article
sources DOAJ
author Annabelle S. Redfern
Christopher P. Benton
spellingShingle Annabelle S. Redfern
Christopher P. Benton
Expressive Faces Confuse Identity
i-Perception
author_facet Annabelle S. Redfern
Christopher P. Benton
author_sort Annabelle S. Redfern
title Expressive Faces Confuse Identity
title_short Expressive Faces Confuse Identity
title_full Expressive Faces Confuse Identity
title_fullStr Expressive Faces Confuse Identity
title_full_unstemmed Expressive Faces Confuse Identity
title_sort expressive faces confuse identity
publisher SAGE Publishing
series i-Perception
issn 2041-6695
publishDate 2017-09-01
description We used highly variable, so-called ‘ambient’ images to test whether expressions affect the identity recognition of real-world facial images. Using movie segments of two actors unknown to our participants, we created image pairs – each image within a pair being captured from the same film segment. This ensured that, within pairs, variables such as lighting were constant whilst expressiveness differed. We created two packs of cards, one containing neutral face images, the other, their expressive counterparts. Participants sorted the card packs into piles, one for each perceived identity. As with previous studies, the perceived number of identities was higher than the veridical number of two. Interestingly, when looking within piles, we found a strong difference between the expressive and neutral sorting tasks. With expressive faces, identity piles were significantly more likely to contain cards of both identities. This finding demonstrates that, over and above other image variables, expressiveness variability can cause identity confusion; evidently, expression is not disregarded or factored out when we classify facial identity in real-world images. Our results provide clear support for a face processing architecture in which both invariant and changeable facial information may be drawn upon to drive our decisions of identity.
url https://doi.org/10.1177/2041669517731115
work_keys_str_mv AT annabellesredfern expressivefacesconfuseidentity
AT christopherpbenton expressivefacesconfuseidentity
_version_ 1724610597596692480