Tracking and simulating dynamics of implicit stereotypes: A situated social cognition perspective

Area of Science:

• Social Psychology
• Cognitive Science
• Computational Neuroscience

Background:

• Implicit social cognition research often overlooks situated and embodied factors.
• Understanding the origins of implicit gender-domain stereotypes is crucial for addressing societal biases.

Purpose of the Study:

• To investigate the role of self-congruency and visuospatial task features in the emergence of implicit gender-domain stereotypes.
• To examine competition at sensorimotor and abstract levels in stereotype formation.
• To test the self-congruency hypothesis using computational and empirical methods.

Main Methods:

• Employed a situated social cognition perspective.
• Utilized one computational and three empirical studies.
• Adapted mouse-tracking Implicit Association Test (IAT) and IAT-like tasks to measure implicit stereotypes.
• Tracked hand movements of human and simulated participants.
• Developed a novel generative connectionist model for data simulation.

Main Results:

• Results support the self-congruency hypothesis, indicating that associations congruent with the self contribute to implicit stereotypes.
• Evidence suggests competition occurs at both sensorimotor and abstract levels.
• Mouse-tracking revealed distinct patterns for stereotypical and counterstereotypical social groups.

Conclusions:

• The self-congruency hypothesis offers a valuable framework for understanding implicit stereotype development.
• A situated perspective is relevant for advancing the study of implicit social cognition.
• Findings highlight the interplay between embodiment, task features, and implicit bias.