Information about expert decision and post‐decision distortion of facts of own decision

Cognitive representations of decision problems are dynamic. During and after a decision, evaluations and representations of facts change to support the decision made by a decision maker her‐ or himself (Svenson, 2003). We investigated post‐decision distortion of facts (consolidation). Participants were given vignettes with facts about two terminally ill patients, only one of whom could be given lifesaving surgery. In Study 1, contrary to the prediction, the results showed that facts were distorted after a decision both by participants who were responsible for the decisions themselves and when doctors had made the decision. In Study 2 we investigated the influence of knowledge about expert decisions on a participant's own decision and post‐decisional distortion of facts. Facts were significantly more distorted when the participant's decision agreed with an expert's decision than when the participant and expert decisions disagreed. The findings imply that knowledge about experts' decisions can distort memories of facts and therefore may obstruct rational analyses of earlier decisions. This is particularly important when a decision made by a person, who is assumed to be an expert, makes a decision that is biased or wrong.     

The Loss of Loss Aversion: Paying Attention to Reference Points

We agree with Gal and Rucker ( 2018 , in press) that loss aversion is not as firmly established as typically assumed. We affirm, however, the more general principle put forward within Prospect Theory (D. Kahneman & A. Tversky, 1979), which is that reference points increase people's sensitivity to objective changes in value. We show how the literatures on counterfactual thought, social comparison, and goal pursuit are consistent with the notion that reference points increase sensitivity to change in value, while not being consistent with loss aversion. We then examine, within the framework of Regulatory Focus theory (E. T. Higgins, 1997, 1998), how different reference points combine with characteristics of the actor and the situation to give rise to loss aversion (more sensitivity to negative outcomes than to positive outcomes) as well as to the reverse pattern (more sensitivity to positive outcomes than to negative outcomes). Our review suggests that the status quo, even when used as a reference point, is not necessarily neutral. It also suggests that anchor points other than the status quo may serve as reference points and that people may use more than one reference point simultaneously. More generally, we call for a critical examination of the “bad is stronger than good” principle.     

Voluntary decision-making in addiction: A comprehensive review of existing measurement tools

The notion of voluntariness, notably the inability to refrain from using an addictive substance, is central to addiction. This review examines different constructs measuring voluntariness in the context of drug addiction. We found 117 articles featuring 123 distinct scales for 11 of the 16 constructs initially searched. Self-efficacy was by far the construct with most scales. Most scales were not specifically developed with samples of people with addictions. From a methodological standpoint, current literature jeopardizes the validity of generalizations about how voluntariness functions and is measured in people with and without a drug addiction. From the standpoint of social psychology, the study of voluntariness remains anchored in an individualistic orientation to the study of cognition and behavior, thus calling for greater crosstalk between psychology subspecialties.     

Late‐life Depression,Suicidal Ideation,and Attempted Suicide: The Role of Individual Differences in Maximizing,Regret, and Negative Decision Outcomes

Suicide rates are highest in adults of middle and older age. Research with psychiatric patients has shown that proneness to feel regret about past decisions can grow so intense that suicide becomes a tempting escape. Here, we examine the additional role of individual differences in maximizing, or the tendency to strive for the best decision, rather than one that is good enough. We provided individual‐difference measures of maximizing, regret proneness, and negative life decision outcomes (as reported on the Decision Outcome Inventory) to a nonpsychiatric control group, as well as three groups of psychiatric patients in treatment for suicide attempts, suicidal ideation, or non‐suicidal depression. We found that scores on the three individual‐difference measures were worse for psychiatric patients than for nonpsychiatric controls and were correlated to clinical assessments of depression, hopelessness, and suicidal ideation. More importantly, maximizing was associated with these clinical assessments, even after taking into account maximizers' worse life decision outcomes. Regret proneness significantly mediated those relationships, suggesting that maximizers could be at risk for clinical depression because of their proneness to regret. We discuss the theoretical relevance of our findings and their promise for clinical practice. Ultimately, late‐life depression and suicidal ideation may be treated with interventions that promote better decision making and regret regulation. Copyright © 2015 John Wiley & Sons, Ltd.     

Faster,slower or real time? Perceptual-cognitive skills training with variable video speeds

ObjectiveWe examined whether a short-term, off-field training intervention using different video speed manipulations (i.e., normal speed, 75%, and 125% of normal speed), enhances the offside decision-making performance of international level assistant referees. Moreover, we explored the optimal sequence of various video speed manipulations during training.DesignAll groups were exposed to a pre- and posttest. During acquisition, the assistant referees assessed 60 offside video simulations during three different training sessions. The order of the video speed conditions varied during the training intervention depending on participant group assignment: increasing speed group (n = 33; 75%–100%–125%); decreasing speed group (n = 33; 125%–100%–75%); and arbitrary speed group (n = 30; 100%–75%–125%).ResultsFirst, the decision-making accuracy was higher during the presentation of real time and faster video conditions when compared to the slower video condition. Second, only the decreasing speed group improved their offside decision-making performance from pre- to posttest.ConclusionsWe conclude that scheduling a decreasing video speed sequence throughout training is more beneficial to enhance learning than increasing or arbitrary speed conditions. Although it is too premature to replace existing training protocols that typically use constant speed videos, the present study offers evidence to suggest that training interventions for elite performers that decreasing the speed of exposure during the learning process may have some benefits over regular speed presentations.     

Effects of ego-depletion on choice behaviour in a multi-attribute decision task

When a choice has to be made between two options and decision-relevant information about the options is completely available, the Take-The-Best (TTB) heuristic only considers the most important information that discriminates between the options and bases its choice on it. Choices in line with TTB thus allow a decision maker to save time and effort, and they may become more likely therefore under conditions of limited self-control strength (ego-depletion). Ego-depletion was manipulated prior to making a series of choices in a multi-attribute decision task. Choices could have been in line with either TTB or more effortful compensatory decision strategies. As predicted, compared with non-depleted participants, ego-depleted participants were more likely to make TTB-consistent choices.     

Entropy in multiattribute problems

Concepts involving entropy have intermittently been used in consideration of multiattribute problems. This paper discusses the main approaches that have been proposed. It is argued that the analogies drawn with information theory and between weights and probabilities are to some degree unsatisfactory and a reconsideration is given. The result is a new suggestion in the spirit of Jaynes’ maximum entropy methodology, but now in two parts: ask those questions that are likely to be most discriminating (minimize entropy) but process the answers obtained conservatively (maximize entropy). In contrast to many previous methods, it is the distribution of the utilities of alternatives rather than of the weights given to attributes that is the focus of attention. Copyright © 1999 John Wiley & Sons, Ltd.     

Attribute weighting methods and decision quality in the presence of response error: a simulation study

This paper uses a simulation approach to investigate how different attribute weighting techniques affect the quality of decisions based on multiattribute value models. The weighting methods considered include equal weighting of all attributes, two methods for using judgments about the rank ordering of weights, and a method for using judgments about the ratios of weights. The question addressed is: How well does each method perform when based on judgments of attribute weights that are unbiased but subject to random error? To address this question, we employ simulation methods. The simulation results indicate that ratio weights were either better than rank order weights (when error in the ratio weights was small or moderate) or tied with them (when error was large). Both ratio weights and rank order weights were substantially superior to the equal weights method in all cases studied. Our findings suggest that it will usually be worth the extra time and effort required to assess ratio weights. In cases where the extra time or effort required is too great, rank order weights will usually give a good approximation to the true weights. Comparisons of the two rank-order weighting methods favored the rank-order-centroid method over the rank-sum method. © 1998 John Wiley & Sons, Ltd.     

Proposal of a driver profile classification in relation to risk level in overtaking maneuvers

Traffic crashes are a worldwide problem, and records have indicated frontal collisions have resulted in the most significant number of fatalities. Such a type of crash is frequently caused by improper overtaking of vehicles, which highlights the interference of human factors. Therefore, investigations on driver's risk perception are necessary. This study proposes a classification of driver's risk level through a decision tree using the Classification and Regression Tree (CART) algorithm from data collected from the overtaking maneuvers in a driving simulator. The model obtained by CART algorithm indicated young male drivers are more likely to take risks in overtaking maneuvers. The results were correlated with governmental records and similar studies. In addition, the results showed the potential of the tool for used as a risk level classifier, as well as the validation of the driving simulator in studies associated with human factor behaviours, accident analysis and investigation.