Literature DB >> 25151253

Eye spy: the predictive value of fixation patterns in detecting subtle and extreme emotions from faces.

Avinash R Vaidya1, Chenshuo Jin2, Lesley K Fellows2.   

Abstract

Successful social interaction requires recognizing subtle changes in the mental states of others. Deficits in emotion recognition are found in several neurological and psychiatric illnesses, and are often marked by disturbances in gaze patterns to faces, typically interpreted as a failure to fixate on emotionally informative facial features. However, there has been very little research on how fixations inform emotion recognition in healthy people. Here, we asked whether fixations predicted detection of subtle and extreme emotions in faces. We used a simple model to predict emotion detection scores from participants' fixation patterns. The best fit of this model heavily weighted fixations to the eyes in detecting subtle fear, disgust and surprise, with less weight, or zero weight, given to mouth and nose fixations. However, this model could not successfully predict detection of subtle happiness, or extreme emotional expressions, with the exception of fear. These findings argue that detection of most subtle emotions is best served by fixations to the eyes, with some contribution from nose and mouth fixations. In contrast, detection of extreme emotions and subtle happiness appeared to be less dependent on fixation patterns. The results offer a new perspective on some puzzling dissociations in the neuropsychological literature, and a novel analytic approach for the study of eye gaze in social or emotional settings.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Emotion; Expression; Eye-tracking; Face perception; Fixation; Modeling

Mesh:

Year:  2014        PMID: 25151253     DOI: 10.1016/j.cognition.2014.07.004

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  12 in total

1.  Ventromedial frontal lobe damage affects interpretation, not exploration, of emotional facial expressions.

Authors:  Avinash R Vaidya; Lesley K Fellows
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2.  Upright face-preferential high-gamma responses in lower-order visual areas: evidence from intracranial recordings in children.

Authors:  Naoyuki Matsuzaki; Rebecca F Schwarzlose; Masaaki Nishida; Noa Ofen; Eishi Asano
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3.  Foveal processing of emotion-informative facial features.

Authors:  Nazire Duran; Anthony P Atkinson
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

4.  Mapping the impairment in decoding static facial expressions of emotion in prosopagnosia.

Authors:  Daniel Fiset; Caroline Blais; Jessica Royer; Anne-Raphaëlle Richoz; Gabrielle Dugas; Roberto Caldara
Journal:  Soc Cogn Affect Neurosci       Date:  2017-08-01       Impact factor: 3.436

5.  Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials.

Authors:  Anne Guérin-Dugué; Raphaëlle N Roy; Emmanuelle Kristensen; Bertrand Rivet; Laurent Vercueil; Anna Tcherkassof
Journal:  Front Psychol       Date:  2018-07-12

6.  New insights into facial emotion recognition in Parkinson's disease with and without mild cognitive impairment from visual scanning patterns.

Authors:  Josefine Waldthaler; Charlotte Krüger-Zechlin; Lena Stock; Zain Deeb; Lars Timmermann
Journal:  Clin Park Relat Disord       Date:  2019-11-20

7.  Selective eye fixations on diagnostic face regions of dynamic emotional expressions: KDEF-dyn database.

Authors:  Manuel G Calvo; Andrés Fernández-Martín; Aida Gutiérrez-García; Daniel Lundqvist
Journal:  Sci Rep       Date:  2018-11-19       Impact factor: 4.379

8.  Neural measures of the causal role of observers' facial mimicry on visual working memory for facial expressions.

Authors:  Paola Sessa; Arianna Schiano Lomoriello; Roy Luria
Journal:  Soc Cogn Affect Neurosci       Date:  2018-12-04       Impact factor: 3.436

9.  Exploring emotional expression recognition in aging adults using the Moving Window Technique.

Authors:  Elina Birmingham; Joakim Svärd; Christopher Kanan; Håkan Fischer
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

Review 10.  A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges.

Authors:  Yee-Hui Oh; John See; Anh Cat Le Ngo; Raphael C-W Phan; Vishnu M Baskaran
Journal:  Front Psychol       Date:  2018-07-10
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