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Latest Papers

Generative neural networks for experimental manipulation: Examining dominance‐trustworthiness face impressions with data‐efficient models
We introduce an open source method for generating face stimuli sets for psychological experiments with appearance precisely manipulated on dimensions of dominance and trustworthiness.
A Sobieszek, M Siemiątkowski, KK Imbir | British Journal of Psychology | 2024
Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection
We introduce a machine learning method to accurately predict affective norms of words (positivity, arousal, dominance, abstracness etc.) for multiple lanugages and propose a better method of selecting such emotional word stimuli for different exp. conditions.
H Plisiecki, A Sobieszek | Behavior Research Methods 56 (5), 4716-4731 | 2023