Altered saccadic targets when processing facial expressions under different attentional and stimulus conditions
Frank A Boutsen1, Justin D Dvorak1, Vinay K Pulusu2
1Department of Communication Sciences and Disorders, University of Oklahoma Health Sciences, 1200 North Stonewall Ave., Oklahoma City, OK 73117, USA.
Facial emotion perception is influenced by attentional bias. While saccadic eye movements support cognitive pre-attunements, they do not fully explain visual field differences in processing facial blends.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Perception
Background:
- Facial emotion perception is modulated by attentional bias.
- Facial blends, with differing emotions on the upper and lower face, reveal perceptual biases.
- Previous research indicates a bias towards the lower face unless attention is directed to the upper face.
Purpose of the Study:
- To investigate if initial saccadic eye movements explain perceptual biases in facial blend recognition.
- To examine the relationship between attentional focus and saccadic behavior when viewing facial expressions.
Main Methods:
- Ten subjects viewed full and blend facial expressions under varying attentional conditions.
- Saccadic eye movements were recorded to assess visual scanning patterns.
- Participants were instructed to attend to specific facial regions or identify emotions.
Main Results:
- No significant saccadic differences were observed between visual fields or stimulus types (full vs. blend).
- Saccades were directed to the lower face when identifying emotions and to the upper face when instructed to attend to it.
- When asked to attend to the upper face and identify emotion, saccades shifted to the upper face, but to a lesser extent.
Conclusions:
- Saccadic behavior aligns with cognitive-attentional pre-attunements in facial expression processing.
- Saccadic targeting alone does not fully account for the left visual field's advantage in recognizing upper facial expressions in blends.
- Other perceptual factors, potentially including virtual scanning, may contribute to observed biases.
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