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Face in profile view reduces perceived facial expression intensity: an eye-tracking study
1School of Psychology, University of Lincoln, Lincoln LN6 7TS, UK.
Acta Psychologica
|December 23, 2014
Summary
Facial expression perception remains accurate across different views, but intensity is perceived as lower from profile angles. Gaze patterns on facial features are consistent regardless of viewpoint or expression.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human-Computer Interaction
Background:
- Current research on facial emotion recognition predominantly uses frontal face images.
- Social interactions frequently involve viewing faces from various angles, necessitating viewpoint-invariant expression perception.
- Limited understanding exists regarding how expression intensity and gaze behavior change across different facial viewpoints.
Purpose of the Study:
- To investigate the influence of facial viewpoint on the perception of emotion.
- To measure changes in perceived expression intensity and gaze patterns across different viewing angles.
- To determine if facial expression processing is viewpoint-invariant.
Main Methods:
- Participants viewed faces displaying six common emotions at frontal, mid-profile, and profile orientations.
- Measurements included expression categorization accuracy, perceived expression intensity, and gaze patterns.
- Analysis focused on how viewpoint affected identification rates, intensity perception, and fixation distribution on facial features.
Main Results:
- Profile views slightly reduced identification accuracy for disgust and sad expressions.
- Perceived expression intensity was significantly decreased for all expressions from profile views compared to frontal views.
- Gaze distribution across facial features (eyes, nose, mouth) remained qualitatively consistent across viewpoints and expressions.
Conclusions:
- Facial expression processing exhibits viewpoint-invariant categorical perception.
- A consistent holistic gaze strategy for extracting facial cues may underlie viewpoint-invariant expression recognition.
- While categorization is robust, perceived intensity is sensitive to facial viewpoint.
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