Literature DB >> 36258062

Corneal reflections and skin contrast yield better memory of human and virtual faces.

Julija Vaitonytė1, Maryam Alimardani2, Max M Louwerse2.   

Abstract

Virtual faces have been found to be rated less human-like and remembered worse than photographic images of humans. What it is in virtual faces that yields reduced memory has so far remained unclear. The current study investigated face memory in the context of virtual agent faces and human faces, real and manipulated, considering two factors of predicted influence, i.e., corneal reflections and skin contrast. Corneal reflections referred to the bright points in each eye that occur when the ambient light reflects from the surface of the cornea. Skin contrast referred to the degree to which skin surface is rough versus smooth. We conducted two memory experiments, one with high-quality virtual agent faces (Experiment 1) and the other with the photographs of human faces that were manipulated (Experiment 2). Experiment 1 showed better memory for virtual faces with increased corneal reflections and skin contrast (rougher rather than smoother skin). Experiment 2 replicated these findings, showing that removing the corneal reflections and smoothening the skin reduced memory recognition of manipulated faces, with a stronger effect exerted by the eyes than the skin. This study highlights specific features of the eyes and skin that can help explain memory discrepancies between real and virtual faces and in turn elucidates the factors that play a role in the cognitive processing of faces.
© 2022. The Author(s).

Entities:  

Keywords:  Corneal reflections; Face memory; Face perception; Skin contrast; Virtual faces

Mesh:

Year:  2022        PMID: 36258062      PMCID: PMC9579222          DOI: 10.1186/s41235-022-00445-y

Source DB:  PubMed          Journal:  Cogn Res Princ Implic        ISSN: 2365-7464


  39 in total

1.  The role of skin texture and facial shape in representations of age and identity.

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Journal:  Cortex       Date:  2011-10-08       Impact factor: 4.027

2.  The tipping point of animacy. How, when, and where we perceive life in a face.

Authors:  Christine E Looser; Thalia Wheatley
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3.  Face animacy is not all in the eyes: evidence from contrast chimeras.

Authors:  Benjamin Balas; Christopher Tonsager
Journal:  Perception       Date:  2014       Impact factor: 1.490

4.  Using dual eye tracking to uncover personal gaze patterns during social interaction.

Authors:  Shane L Rogers; Craig P Speelman; Oliver Guidetti; Melissa Longmuir
Journal:  Sci Rep       Date:  2018-03-09       Impact factor: 4.379

5.  Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task.

Authors:  Jari Kätsyri
Journal:  Front Psychol       Date:  2018-08-03

6.  Situating language in a minimal social context: how seeing a picture of the speaker's face affects language comprehension.

Authors:  David Hernández-Gutiérrez; Francisco Muñoz; Jose Sánchez-García; Werner Sommer; Rasha Abdel Rahman; Pilar Casado; Laura Jiménez-Ortega; Javier Espuny; Sabela Fondevila; Manuel Martín-Loeches
Journal:  Soc Cogn Affect Neurosci       Date:  2021-05-04       Impact factor: 3.436

7.  Speaking and Listening with the Eyes: Gaze Signaling during Dyadic Interactions.

Authors:  Simon Ho; Tom Foulsham; Alan Kingstone
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

8.  Morphological and population genomic evidence that human faces have evolved to signal individual identity.

Authors:  Michael J Sheehan; Michael W Nachman
Journal:  Nat Commun       Date:  2014-09-16       Impact factor: 14.919

9.  In our own image? Emotional and neural processing differences when observing human-human vs human-robot interactions.

Authors:  Yin Wang; Susanne Quadflieg
Journal:  Soc Cogn Affect Neurosci       Date:  2015-04-23       Impact factor: 3.436

10.  How Well Do Computer-Generated Faces Tap Face Expertise?

Authors:  Kate Crookes; Louise Ewing; Ju-Dith Gildenhuys; Nadine Kloth; William G Hayward; Matt Oxner; Stephen Pond; Gillian Rhodes
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

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