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Published on: November 30, 2018
Uncovering the cognitive mechanisms underlying the gaze cueing effect
Manikya Alister1, Kate T McKay2, David K Sewell2
1Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia.
The gaze cueing effect shows faster responses to gazed-at targets. Computational models reveal most individuals reorient attention, but some briefly process information in parallel, indicating cognitive mechanism variability.
Area of Science:
- Cognitive Psychology
- Social Cognition
- Computational Neuroscience
Background:
- The gaze cueing effect, a robust finding in social cognition, demonstrates faster responses to targets at gazed-at locations.
- Evidence accumulation models typically explain speeded decision-making but are underutilized in social cognition research.
- Understanding the cognitive mechanisms behind gaze cueing is crucial for social information processing.
Purpose of the Study:
- To apply evidence accumulation models to gaze cueing data for the first time.
- To assess the relative contributions of attentional orienting versus information processing mechanisms in gaze cueing.
- To investigate individual differences in the cognitive processes underlying the gaze cueing effect.
Main Methods:
- Utilized individual-level and hierarchical computational modeling techniques.
- Analyzed three gaze cueing datasets comprising 171, 139,001 trials.
- Compared models based on attentional orienting and information processing mechanisms.
Main Results:
- Most participants' gaze cueing effects were best explained by attentional orienting, requiring reorientation to targets.
- A subset of participants showed evidence of parallel orienting and processing due to brief information processing resource allocation.
- Little evidence supported sustained reallocation of information processing resources at group or individual levels.
Conclusions:
- The primary mechanism for gaze cueing in most individuals involves attentional reorientation.
- Individual variability in gaze cueing suggests differences in underlying cognitive mechanisms, including parallel processing.
- Findings highlight the utility of computational modeling in dissecting nuanced cognitive processes in social interactions.
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