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Shared and Individual Tuning Curves for Social Perception
Rekha S Varrier1,2, Zishan Su1, Qi Liang1
1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
Humans can perceive social interactions even in abstract animations. Individual differences in how people interpret these social cues are stable and linked to socio-affective traits.
Area of Science:
- Cognitive Science
- Social Psychology
- Computational Neuroscience
Background:
- Distinguishing between visual, auditory, and social stimuli is fundamental to perception.
- Understanding the basis of socialness judgments and individual variability is crucial for social cognition research.
Purpose of the Study:
- To characterize group-level and individual thresholds for perceiving social interactions.
- To investigate how simple visual features influence social perception.
- To explore individual differences in socialness judgments and their relation to socio-affective traits.
Main Methods:
- Utilized parameterizable animations of geometric shapes to study social perception.
- Developed psychophysics-inspired "social tuning curves" for individuals.
- Analyzed the relationship between individual tuning curves and socio-affective traits.
Main Results:
- Simple visual features significantly influence the perception of social interactions.
- Individual "social tuning curves" are unique, stable within individuals, and vary across people.
- Differences in social perception are correlated with socio-affective traits.
Conclusions:
- Social perception arises from the interplay between stimulus features and individual observer characteristics.
- The developed approach provides a foundation for studying the emergence of social percepts.
- Individual differences in social perception are quantifiable and linked to broader psychological traits.
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