Moral cognition,affect, and psychopathy

Few theorists would challenge the idea that affect and emotion directly influence decision-making and moral judgment. There is good reason to think that they also significantly assist in decision-making and judgment, and in fact are necessary for fully effective moral cognition. However, they are not sufficient. Deliberation and more reflective thought processes likewise play a crucial role, and in fact are inseparable from affective processes. I will argue that while the dual-process account of moral judgment set forth by Craigie (2011) has great merit, it fails to appreciate fully the extent to which affective and reflective processes are not only integrated, but also mutually interdependent. Evidence from psychopathy indicates that when reflective processes are not assisted adequately by what I will call ‘affective framing’, and moral cognition is of the “cooler,” less emotionally-informed variety, what results is not effective cognitive functioning, but rather psychopathology. My proposed account of affective framing aims to make sense of the way in which affect plays a strictly necessary and integral role not just in intuitive moral responses, but also in reflective moral judgments, so that moral cognition is accomplished by the joint operation of affective processes and reflective reasoning processes.     

Malleability of weight-biased attitudes and beliefs: A meta-analysis of weight bias reduction interventions

Weight bias exists across many important life domains, necessitating interventions designed to reduce weight-biased attitudes and beliefs. Though the effectiveness of weight bias interventions has been questioned, to our knowledge no meta-analysis of these interventions has been conducted. This meta-analysis evaluated the impact of weight bias interventions on weight-biased attitudes and beliefs and explored potential moderators. Interventions were eligible if they used an adult sample and a validated measure of weight-biased attitudes, which resulted in the inclusion of 30 studies represented in 29 articles. A random effects approach using inverse weights resulted in a mean effect size estimate of g = −0.33 (lower scores indicate less weight bias) for both attitudes and beliefs. Intervention type, publication type, and population type were not significant moderators but demonstrated noteworthy trends. Results reveal a small, positive effect of weight bias interventions on weight-biased attitudes and beliefs and provide useful information for future interventions.     

Object representations are biased toward each other through statistical learning

The visual system is remarkably efficient at extracting regularities from the environment through statistical learning. While such extraction has extensive consequences on cognition, it is unclear how statistical learning shapes the representations of the individual objects that comprise the regularities. Here we examine how statistical learning alters object representations. In three experiments, participants were exposed to either random arrays containing objects in a random order, or structured arrays containing object pairs where two objects appeared next to each other in fixed spatial or temporal configurations. After exposure, one object in each pair was briefly presented and participants judged the location or the orientation of the object without seeing the other object in the pair. We found that when an object reliably appeared next to another object in space, it was judged as being closer to the other object in space even though the other object was never presented (Experiments 1 and 2). Likewise, when an object reliably preceded another object in time, its orientation was biased toward the orientation of the other object even though the other object was never presented (Experiment 3). These results demonstrated that statistical learning fundamentally shapes how individual objects are represented in visual memory, by biasing the representation of one object toward its co-occurring partner. Importantly, participants in all experiments were not explicitly aware of the regularities. Thus, the bias in object representations was implicit. The current study reveals a novel impact of statistical learning on object representation: spatially co-occurring objects are represented as being closer in space, and temporally co-occurring objects are represented as having more similar features.     

Driving speed choice: The role of conscious monitoring and control (reinvestment) when driving

This study aimed to examine the role of reinvestment - the propensity to consciously monitor and control actions (movement specific reinvestment) and to consciously monitor and evaluate decision making processes (Decision specific reinvestment) while driving in everyday risky scenarios. The study also aimed to evaluate the association between reinvestment and previously validated driver attitude measures. Fifty one participants completed a series of questionnaires (Driving Self-Efficacy Scale, Driver Attitude Questionnaire, Movement Specific Reinvestment Scale, Decision Specific Reinvestment Scale) after which they completed a test phase in a driving simulator. In the test phase, driving scenarios included roads with different markings (i.e., double yellow, wide centrelines, wire rope barriers, Audio Tactile Profiled markings) and alerting scenarios (i.e., police car present, high crash risk area sign, reduced speed zone). Results revealed that on risky roads (wide centrelines), participants with a high propensity for decision specific reinvestment drove slower than those with a low propensity. Driver experience, attitudes towards speeding and scores on the Decision Reinvestment subscale of the Decision Specific Reinvestment Scale significantly predicted speed choice. More experienced participants with higher scores on the Decision Reinvestment subscale were more likely to drive slower and participants with worse attitudes towards speeding were likely to drive faster. Participants with a low propensity for movement specific reinvestment (specifically, Movement Self-Consciousness) reduced their speed to a greater extent than those with a high propensity when driving in the police car scenario. There was some evidence to suggest that high decision specific and movement specific reinvesters were more likely to be involved in crashes and receive driving infringements. The current study is the first to demonstrate a significant relationship between reinvestment and driving. The implications of these findings for road safety are discussed.     

Particle swarm optimised analysis of investment decision

A portfolio forecasting model based on particle swarm optimization (PSO) algorithm with automatic factor scaling is proposed in this Article to effectively improve the accuracy of related analysis model in portfolio application. Firstly, the portfolio problem is analyzed and a hybrid constraint portfolio model is obtained by improving portfolio model with consideration of general portfolio model and combination of market value constraint and upper bound constraint according to Markowitz's theory. Secondly, PSO algorithm is introduced during analysis on portfolio model and solution is found with the hybrid constraint portfolio model of PSO on portfolio. In addition, in order to further improve the performance of PSO in model solution, automatic factor scaling is used for adaptive learning on parameters associated with PSO, to improve convergence of the algorithm. At last, simulation experiments show that the algorithm proposed can obtain a more ideal investment portfolio scheme, thereby reducing investment risks and obtaining greater investment returns.     

Reducing tunnel vision with a pen‐and‐paper tool for the weighting of criminal evidence

In order to prevent tunnel vision, and ultimately miscarriages of justice, police, prosecutors, and judges must remain open to alternative scenarios in which the suspect is in fact innocent. However, it is not evident from the literature that people are sufficiently aware of how alternative scenarios should be employed in the decision‐making process. In the present research, participants read a case vignette and formed an impression of the suspect's guilt. Some participants were made familiar with an alternative scenario. Others were not only presented with an alternative scenario but were also instructed to score (with pen and paper) the extent to which every piece of evidence fitted in the primary and the alternative scenario. Findings suggest that this pen‐and‐paper task helped to reduce tunnel vision.     

Anxiety sensitivity and attentional bias to threat interact to prospectively predict anxiety

The purpose of the present study was to examine anxiety sensitivity, attentional bias to threat (ABT), and the aggregate influence of these constructs as prospective predictors of anxiety. Participants (N = 176) completed a baseline assessment session which included the completion of self-report measures of anxiety and anxiety sensitivity, as well as an eye-tracking task in which eye movements were recorded during the viewing of neutral and threat images. Measures of anxiety and anxiety sensitivity were completed again as part of an online questionnaire battery at a 1-year follow-up session. As predicted, baseline anxiety sensitivity and ABT predicted anxiety at 1-year follow-up even after accounting for baseline anxiety. However, these main effects were qualified by a significant interaction effect such that those high in anxiety sensitivity at baseline reported relatively higher anxiety at the 1-year follow-up, but only if they also exhibited higher levels of ABT at baseline. Results suggest that individuals with this combination of vulnerability factors (high levels of both anxiety sensitivity and ABT) may be at particularly high risk for developing anxiety and may benefit from preemptive efforts to reduce ABT.     

Positive memory enhancement training for individuals with major depressive disorder

When in a negative mood state, individuals with major depressive disorder (MDD) may have difficulties recalling positive autobiographical memories in a manner that repairs that negative mood. Using cognitive bias modification techniques, investigators have successfully altered different aspects of cognition among individuals with MDD. However, little has been done to investigate the modification of positive autobiographical memory recall. This study examined the impact of a novel positive memory enhancement training (PMET) on the memories and subjective affective experiences of individuals with MDD (N = 27). Across a series of trials, participants first recalled a sad memory to elicit a negative mood state. They then recalled a happy memory and completed procedures to elicit a vivid, here-and-now quality of the memory. PMET procedures were hypothesized to promote mood repair via the recall of increasingly vivid and specific positive memories. PMET participants demonstrated improved memory specificity and greater perceived ability to “relive” positive memories. The procedures also repaired mood; PMET participants’ affect following recall of positive memories did not differ from control participants’ affect following recall of neutral memories. Results provide preliminary support for PMET as a method to improve the quality of positive memories and facilitate emotion regulation in MDD.     

Support for Leader's Decisions in Conflict and Negotiation: Women Do Not Benefit From Relevant Expertise While Men Do

In the present research, we examined the role of leaders' domain‐specific expertise and gender as affecting individuals' evaluation of proposals related to intergroup conflict. Across three studies, conducted in two different conflict‐related contexts (Israeli‐Palestinian conflict and the refugee crisis in Europe), we showed that men and women do not equally benefit from domain‐specific expertise. Having high (compared to low) domain‐specific expertise positively affected participants' attitudes towards the proposal when its author was a man but not when she was a woman. We further demonstrate that specific characteristics of the proposal (i.e., security relevance) and of the participants (i.e., level of sexism) affect reactions to different negotiation proposals. Our findings suggest that even when women acquire relevant knowledge and experience, they do not benefit from them as much as men. One implication of these findings is that training and enhancing women's expertise may not be enough to eliminate gender bias.