Eye Movement Modulates the Face Inversion Effect in Emotion Recognition

The Face Inversion Effect (FIE), characterized by a greater reduction in recognition performance for inverted versus upright faces than objects, suggests that unlike objects, faces are processed holistically – a process disrupted with inversion. Despite many studies investigating FIE in identity recognition, its effect in emotion recognition has shown mixed results. We aim to clarify the effect of FIE on the recognition of different emotions and uncover mechanisms of holistic processing by linking behavioral performance with eye movement. Participants (n=40, White, 30 females, M=21.45 years) completed an expression recognition task of anger, fear, happiness, and sadness for upright and inverted faces with eye-tracking (400 trials per participant). The same face stimuli were presented in a random order with gender, emotion, and orientation counter-balanced across blocks. As expected, participants performed worse in identifying emotions of inverted faces in general. However, while recognition of sadness and anger was worse, recognition of happiness and fear remained unaffected by inversion. Using a data-driven machine-learning-based approach, Eye Movement analysis with Hidden Markov Models (EMHMM), we discovered two representative eye movement patterns adopted by participants during the emotion recognition tasks – eyes-focused and nose-focused patterns. Consistent with literature on diagnostic face regions for identification of different emotions, for upright faces, participants’ eye movement patterns were more eyes-focused for anger, fear, and sadness recognition and more nose-focused for happiness recognition. Interestingly, for inverted faces, participants’ eye movement patterns were only more eyes-focused for fear recognition, while anger, happiness and sadness recognition were more nose-focused. We thus show that the face scanning patterns for different emotions were influenced by the orientation of the face (upright versus inverted), and that FIE and disruption of holistic processing in emotion recognition are modulated by adherence to scanning patterns that obtain the most diagnostic information to identify the expression.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2024-09-15
DOI
https://doi.org/10.1167/jov.24.10.1395
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eye Movement Modulates the Face Inversion Effect in Emotion Recognition

Susana T. L. Chung, Janet H. Hsiao, Yueyuan Zheng, Angeline Yang
1 links
Journal of Vision
Face Recognition and Perception
article

Eye Movement Modulates the Face Inversion Effect in Emotion Recognition

Susana T. L. Chung, Janet H. Hsiao, Yueyuan Zheng, Angeline Yang
article en

Abstract

The Face Inversion Effect (FIE), characterized by a greater reduction in recognition performance for inverted versus upright faces than objects, suggests that unlike objects, faces are processed holistically – a process disrupted with inversion. Despite many studies investigating FIE in identity recognition, its effect in emotion recognition has shown mixed results. We aim to clarify the effect of FIE on the recognition of different emotions and uncover mechanisms of holistic processing by linking behavioral performance with eye movement. Participants (n=40, White, 30 females, M=21.45 years) completed an expression recognition task of anger, fear, happiness, and sadness for upright and inverted faces with eye-tracking (400 trials per participant). The same face stimuli were presented in a random order with gender, emotion, and orientation counter-balanced across blocks. As expected, participants performed worse in identifying emotions of inverted faces in general. However, while recognition of sadness and anger was worse, recognition of happiness and fear remained unaffected by inversion. Using a data-driven machine-learning-based approach, Eye Movement analysis with Hidden Markov Models (EMHMM), we discovered two representative eye movement patterns adopted by participants during the emotion recognition tasks – eyes-focused and nose-focused patterns. Consistent with literature on diagnostic face regions for identification of different emotions, for upright faces, participants’ eye movement patterns were more eyes-focused for anger, fear, and sadness recognition and more nose-focused for happiness recognition. Interestingly, for inverted faces, participants’ eye movement patterns were only more eyes-focused for fear recognition, while anger, happiness and sadness recognition were more nose-focused. We thus show that the face scanning patterns for different emotions were influenced by the orientation of the face (upright versus inverted), and that FIE and disruption of holistic processing in emotion recognition are modulated by adherence to scanning patterns that obtain the most diagnostic information to identify the expression.

Journal of VisionVol. 24(10)
Berkeley College (US), University of Hong Kong (HK), University of California, Berkeley (US)
Openalex Percentile: Top 83%
Face Recognition and Perception
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.