Reaching Across the DMZ: Identity Uncertainty and Reunification on the Korean Peninsula

Drawing on uncertainty‐identity theory (Hogg, 2012), we explore the effects of uncertainty concerning a specific social identity on group identification and attitudes toward subgroup integration and separation in South Koreans' nested identity context (N = 148). All variables were measured. Path analysis revealed, as predicted, that superordinate identity uncertainty weakened superordinate identification and subgroup identity uncertainty weakened subgroup identification. We also found that subgroup identity uncertainty strengthened superordinate identification. This effect was stronger for those who perceived their superordinate group prototype and subgroup prototype to be distinct and nonoverlapping. Furthermore, superordinate identity uncertainty decreased reunification intentions by weakening superordinate identification. Subgroup identity uncertainty increased reunification intentions by strengthening superordinate identification only for those who perceived their superordinate group prototype and subgroup prototype to be distinct and nonoverlapping. Implications for uncertainty identity theory and intergroup relations are discussed.     

Distraction from emotional information reduces biased judgements

Biases arising from emotional processes are some of the most robust behavioural effects in the social sciences. The goal of this investigation was to examine the extent to which the emotion regulation strategy of distraction could reduce biases in judgement known to result from emotional information. Study 1 explored lay views regarding whether distraction is an effective strategy to improve decision-making and revealed that participants did not endorse this strategy. Studies 2–5 focused on several established, robust biases that result from emotional information: loss aversion, desirability bias, risk aversion and optimistic bias. Participants were prompted to divert attention away from their feelings while making judgements, and in each study this distraction strategy resulted in reduced bias in judgement relative to control conditions. The findings provide evidence that distraction can improve choice across several situations that typically elicit robustly biased responses, even though participants are not aware of the effectiveness of this strategy.     

Counterintuitive Religious Ideas and Metaphoric Thinking: An Event‐Related Brain Potential Study

It has been shown that counterintuitive ideas from mythological and religious texts are more acceptable than other (non‐religious) world knowledge violations. In the present experiment we explored whether this relates to the way they are interpreted (literal vs. metaphorical). Participants were presented with verification questions that referred to either the literal or a metaphorical meaning of the sentence previously read (counterintuitive religious, counterintuitive non‐religious and intuitive), in a block‐wise design. Both behavioral and electrophysiological results converged. At variance to the literal interpretation of the sentences, the induced metaphorical interpretation specifically facilitated the integration (N400 amplitude decrease) of religious counterintuitions, whereas the semantic processing of non‐religious counterintuitions was not affected by the interpretation mode. We suggest that religious ideas tend to operate like other instances of figurative language, such as metaphors, facilitating their acceptability despite their counterintuitive nature.     

Ranking Theory and Conditional Reasoning

Ranking theory is a formal epistemology that has been developed in over 600 pages in Spohn's recent book The Laws of Belief, which aims to provide a normative account of the dynamics of beliefs that presents an alternative to current probabilistic approaches. It has long been received in the AI community, but it has not yet found application in experimental psychology. The purpose of this paper is to derive clear, quantitative predictions by exploiting a parallel between ranking theory and a statistical model called logistic regression. This approach is illustrated by the development of a model for the conditional inference task using Spohn's (2013) ranking theoretic approach to conditionals.     

Predicting Short‐Term Remembering as Boundedly Optimal Strategy Choice

It is known that, on average, people adapt their choice of memory strategy to the subjective utility of interaction. What is not known is whether an individual's choices are boundedly optimal. Two experiments are reported that test the hypothesis that an individual's decisions about the distribution of remembering between internal and external resources are boundedly optimal where optimality is defined relative to experience, cognitive constraints, and reward. The theory makes predictions that are tested against data, not fitted to it. The experiments use a no‐choice/choice utility learning paradigm where the no‐choice phase is used to elicit a profile of each participant's performance across the strategy space and the choice phase is used to test predicted choices within this space. They show that the majority of individuals select strategies that are boundedly optimal. Further, individual differences in what people choose to do are successfully predicted by the analysis. Two issues are discussed: (a) the performance of the minority of participants who did not find boundedly optimal adaptations, and (b) the possibility that individuals anticipate what, with practice, will become a bounded optimal strategy, rather than what is boundedly optimal during training.