(Under Review) Children's Darting (Not Diffuse) Attentional Spotlight Reduces Memory Selectivity for Relevant Content

(Jan 28, 2025) Information prioritization underpins the flexible expression of social preferences under time constraints.

https://doi.org/10.1177/19485506251314071

While recent research shows how time constraints exacerbate the influence of contextual (dis)incentives on information prioritization and subsequent choice during prosocial decision-making, this emerging perspective is silent on how pervasive individual differences in dispositional social preferences might interact with these contextual factors to shape these processes. To bridge this gap, we demonstrated in a preregistered study (N = 200 adults from the United States and Canada; Prolific Academic) that people calibrate their information priorities based on both their dispositional social preferences and contextual (dis)incentives, and that time constraints further exacerbated information prioritization that aligned with their own social preferences, in addition to information incentivized by the broader social context. Furthermore, these information priorities subsequently biased prosocial choices, extremifying people’s selfish/prosocial choice patterns under time constraints. These findings suggest that flexible information prioritization underpins people’s capacity to navigate different social interactions while balancing their own preferences against external incentives and constraints.

(July 18, 2023) Deliberative control is more than just reactive: Insights from sequential sampling models. 

https://doi.org/10.1017/S0140525X22003120

Fast, reactive, impulsive thinking (System 1) and slow, intentional, deliberative thinking (System 2) have often been put at odds with each other. While many dual-systems theories have been proposed, few outline precisely when and why we may use one system over another. In this paper, I propose leveraging insights from computational models of decision making to get precise about our predictions. Furthermore, I suggest drawing upon insights from computational models of cognitive control in decision making, which have made strides in characterizing when, and why, we may reign in our impulses.