Psychological Research, Journal Year: 2024, Volume and Issue: 89(1)
Published: Nov. 13, 2024
Language: Английский
Psychological Research, Journal Year: 2024, Volume and Issue: 89(1)
Published: Nov. 13, 2024
Language: Английский
iScience, Journal Year: 2024, Volume and Issue: 27(6), P. 109951 - 109951
Published: May 9, 2024
Language: Английский
Citations
1Communications Psychology, Journal Year: 2024, Volume and Issue: 2(1)
Published: Oct. 26, 2024
Avoiding threatening individuals is pivotal for adaptation to our social environment. Yet, it remains unclear whether threat avoidance subtended by goal-directed processes, in addition stimulus-response associations. To test this, we manipulated outcome predictability during spontaneous approach/avoidance decisions from avatars displaying angry facial expressions. Across three virtual reality experiments, showed that participants avoided more often when they could predict the of their actions, indicating processes. However, above-chance rate facing unpredictable outcomes suggested associations also played a role. We identified two latent classes participants: "goal-directed class" only predictable condition, while "stimulus-response no credible difference between conditions but had higher overall rate. The class exhibited greater cardiac deceleration associated with better value integration decision-making. Computationally, this an increased drift-rate reflecting estimation avoidance. In contrast, responsiveness threat, indicated and muscular activity at response time. These results support central role processes reveal its physiological computational correlates.
Language: Английский
Citations
1Published: Jan. 25, 2024
Adaptative action selection in threatening social contexts, for example when facing aggressive individuals, is core to behavior. It debated whether, threat, initial opportunities are mostly determined by automatic tendencies – i.e., reactive stimulus-response (SR) associations or rapid and implicit goal-directed (GD) processes, which depend on the predicted consequences of available actions. To investigate balance between SR GD, we conducted three experiments manipulating predictability action-outcomes associations, a novel approach-avoidance decision task virtual reality. Participants presented greater avoidance rate from angry individuals action-outcome association was predictable. Computationally, this subtended more efficient evidence accumulation, as indicated an increased drift rate. Furthermore, cardiac deceleration around time choice predictable condition allowed value attributed outcome be better integrated into decision. Finally, while most participants avoided only under predictability, supporting predominant role GD minority them regardless predictability. Overall, our results shed light computational architecture avoidance, opening interesting new research clinical perspectives.
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 28, 2024
Language: Английский
Citations
0Psychological Research, Journal Year: 2024, Volume and Issue: 89(1)
Published: Nov. 13, 2024
Language: Английский
Citations
0