Sweatshop labor is wrong unless the shoes are cute: Cognition can both help and hurt moral motivated reasoning

The present research investigated the dual role of cognition as either an enabler of moral reasoning or self-interested motivated reasoning for endorsing sweatshop labor. Experiment 1A showed motivated reasoning: participants were more likely to endorse the use of sweatshop labor when considering a Caribbean vacation with questionable labor practices for themselves than for their friends. Experiment 1B demonstrated that endorsement of sweatshop labor mediated the relationship between product desirability and purchase intention. Experiment 2 found that cognitive resources were recruited to enhance motivated reasoning regarding sweatshop labor, the latter of which was reduced under cognitive load. Experiments 3A and 3B found that when cognitive resources were specifically directed in a comparative joint evaluation, participants offered harsher views on the ethicality of a favored company, and were less influenced by motivated factors than when under separate evaluations.     

Children's utilization of emotion expectancies in moral decision‐making

This study investigated the relevance of emotion expectancies for children's moral decision‐making. The sample included 131 participants from three different grade levels (M = 8.39 years, SD = 2.45, range 4.58–12.42). Participants were presented a set of scenarios that described various emotional outcomes of (im)moral actions and asked to decide what they would do if they were in the protagonists' shoes. Overall, it was found that the anticipation of moral emotions predicted an increased likelihood of moral choices in antisocial and prosocial contexts. In younger children, anticipated moral emotions predicted moral choice for prosocial actions, but not for antisocial actions. Older children showed evidence for the utilization of anticipated emotions in both prosocial and antisocial behaviours. Moreover, for older children, the decision to act prosocially was less likely in the presence of non‐moral emotions. Findings suggest that the impact of emotion expectancies on children's moral decision‐making increases with age. Contrary to happy victimizer research, the study does not support the notion that young children use moral emotion expectancies for moral decision‐making in the context of antisocial actions.     

Reflection and reasoning in moral judgment

While there is much evidence for the influence of automatic emotional responses on moral judgment, the roles of reflection and reasoning remain uncertain. In Experiment 1, we induced subjects to be more reflective by completing the Cognitive Reflection Test (CRT) prior to responding to moral dilemmas. This manipulation increased utilitarian responding, as individuals who reflected more on the CRT made more utilitarian judgments. A follow-up study suggested that trait reflectiveness is also associated with increased utilitarian judgment. In Experiment 2, subjects considered a scenario involving incest between consenting adult siblings, a scenario known for eliciting emotionally driven condemnation that resists reasoned persuasion. Here, we manipulated two factors related to moral reasoning: argument strength and deliberation time. These factors interacted in a manner consistent with moral reasoning: A strong argument defending the incestuous behavior was more persuasive than a weak argument, but only when increased deliberation time encouraged subjects to reflect.     

Ego depletion and its paradoxical effects on ethical decision making

Whereas previous research has shown that ego depletion can lead to an increase in unethical behavior, we suggest that this effect hinges on the social consensus of the unethical behavior. Drawing from theories on social consensus and dual-process decision-making, we hypothesize and confirm that ego depletion is associated with increased unethical behavior of comparatively low social consensus. We then find that, as hypothesized, ego depletion is associated with decreased unethical behavior of high social consensus (Studies 1 and 2). Results further suggest that, controlling for state self-control resources, depleted participants are less likely to engage in unethical behavior of high social consensus as a result of increased subjective fatigue (Study 3). Taken together, our findings challenge a widely-held assumption about the negative effects of ego depletion on ethical decision making.     

航空决策模型及其影响因素分析

航空决策指在航空飞行驾驶过程中,飞行员面对特定情境做出最佳决策时的心理过程。情景评估和风险评估是航空决策模型中最重要的两个阶段。个体认知因素、疲劳和动机因素以及知识经验的限制会导致不良航空决策,组织压力和社会因素则通过混淆飞行员对飞行安全的看法间接影响航空决策。在未来的研究中,研究者应当重视构建更合理的航空决策模型,从辩证的角度全面看待知识经验与飞行安全的关系,加强对动机因素和环境因素的调查分析和实验性研究。     

A neural cognitive model of argumentation with application to legal inference and decision making

Formal models of argumentation have been investigated in several areas, from multi-agent systems and artificial intelligence (AI) to decision making, philosophy and law. In artificial intelligence, logic-based models have been the standard for the representation of argumentative reasoning. More recently, the standard logic-based models have been shown equivalent to standard connectionist models. This has created a new line of research where (i) neural networks can be used as a parallel computational model for argumentation and (ii) neural networks can be used to combine argumentation, quantitative reasoning and statistical learning. At the same time, non-standard logic models of argumentation started to emerge. In this paper, we propose a connectionist cognitive model of argumentation that accounts for both standard and non-standard forms of argumentation. The model is shown to be an adequate framework for dealing with standard and non-standard argumentation, including joint-attacks, argument support, ordered attacks, disjunctive attacks, meta-level attacks, self-defeating attacks, argument accrual and uncertainty. We show that the neural cognitive approach offers an adequate way of modelling all of these different aspects of argumentation. We have applied the framework to the modelling of a public prosecution charging decision as part of a real legal decision making case study containing many of the above aspects of argumentation. The results show that the model can be a useful tool in the analysis of legal decision making, including the analysis of what-if questions and the analysis of alternative conclusions. The approach opens up two new perspectives in the short-term: the use of neural networks for computing prevailing arguments efficiently through the propagation in parallel of neuronal activations, and the use of the same networks to evolve the structure of the argumentation network through learning (e.g. to learn the strength of arguments from data).     

Processes of patient decision making: Theoretical and methodological issues

Abstract

There is a paucity of research studying patients' decision making processes. Traditional normative approaches investigating human decision have presented rational, analytic processing as a ‘gold standard’ for decision making with decision aids developed to facilitate such thinking. This paradigm has been challenged by the recent emergence of naturalistic decision making. Naturalistic approaches argue for techniques modelled closer to how decisions are actually made in ‘real life’. Early work in this evolving field suggests the importance of more automatic, intuitive processing such as the use of heuristic short-cuts. This paper discusses the contribution of naturalistic decision theory and assesses its usefulness as an alternative to classical decision approaches in investigating patient decision making. Approaches for measuring underlying cognitive processes are also critically discussed.     

Mindfulness-based stress reduction for patients with anxiety disorders: evaluation in a randomized controlled trial

The aim of this study was to investigate the effect of mindfulness-based stress reduction (MBSR) for patients with heterogeneous anxiety disorders. Seventy-six self-referred patients were randomized to MBSR or a waiting-list control condition. Eight participants did not complete the eight-week MBSR intervention. Treatment completers improved significantly on all outcome measures compared to controls. The completer sample showed medium to large effect sizes on measures of anxiety (Cohen’s d = 0.55–0.97), and a large effect size for symptoms of depression (Cohen’s d = 0.97). Intention-to-treat analyses yielded effect sizes in the small to moderate range (Cohen’s d = 0.32–0.76). Gains were maintained at six months follow-up. The percentage of participants reaching recovered status was highest for symptom measures of depression and anxiety, and lower for worry and trait anxiety. Mediation analyses indicated that mindfulness fully mediated changes in acute anxiety symptoms, and partially mediated changes in worry and trait anxiety. However, the present study did not find evidence of temporal precedence for the proposed mediator. In the absence of true mediation and an active control condition, it cannot be ruled out that results are due to non-specific aspects of treatment. Despite these and other limitations, we conclude that MBSR is an effective treatment for anxiety disorders and related symptomatology.     

Group decision process and incrementalism in organizational decision making

In two studies examining resource allocation, support is found for the notion that group decisions are affected in systematic ways depending on whether or not there was individual consideration of the problem before meeting as a group. Specifically, compared to no prior consideration groups, prior consideration groups (1) escalate their commitment more in progress (i.e., ongoing) decisions, and (2) are less willing to concentrate resources on a single project in adoption (i.e., resource utilization) decisions. The findings challenge the blanket assertion that promoting divergent views in a group decision context is always related to better decisions.     

The ethic of care development: a longitudinal study of moral reasoning among practical-nursing, social-work and law-enforcement students

The study investigated changes in care-based moral reasoning, in the context of justice development over the 2-year period among practical-nursing, bachelor-degree social-work and law-enforcement students (N = 59). Main measures were Skoe's Ethic of Care Interview and Colby et al.'s Moral Judgment Interview. Of the participants 34% progressed in care reasoning, and 48% in justice reasoning. Social-work and nursing students progressed in care reasoning, and all groups progressed in justice reasoning. One participant (1.7%) regressed in care reasoning. Care and justice reasoning were parallel in terms of internal consistency, and they were positively related to each other. Findings suggest that care reasoning follows a developmental sequence, involving three main and two transitional levels, as suggested by Gilligan (1982). Main levels include self-concern (Level 1), caring for others (Level 2), and balanced caring for self and others (Level 3).     

A dual-process approach to health risk decision making: The prototype willingness model

Although dual-process models in cognitive, personality, and social psychology have stimulated a large body of research about analytic and heuristic modes of decision making, these models have seldom been applied to the study of adolescent risk behaviors. In addition, the developmental course of these two kinds of information processing, and their relation to the development of self-regulation are not well understood at this time. The current paper reviews what leading dual-process models have to say about the development of analytic and heuristic decision making, and their implications for adolescent risk behavior. In addition, it reviews research on the prototype willingness model of adolescent decision making—a dual-process model designed specifically to address non-intentional, but volitional adolescent risk behavior. It also discusses the implications of dual-process models for intervention research.     

Impacts of artificial intelligence on organizational decision making

Of all of the new technologies emerging in the late 20th century, the production of artificial intelligence may provide the most profound impacts on organizational decision making. Because the development of artificial intelligence technologies and models has largely been based on psychological models of human cognition, the effects of their implementation in complex social settings have not been thoroughly examined. This paper is an attempt to generate research which will develop a comprehensive understanding of the impacts of artificial intelligence and its role in complex organizations. A set of 11 hypotheses has been developed which examine the relationships between artificial intelligence technologies and the dimensions of organizational decision making. It is argued here that the implementation of expert systems will lead to less complex and political decision processes, while the implementation of natural language systems will lead to more complex and political decision processes.     

Principled moral sentiment and the flexibility of moral judgment and decision making

Three studies test eight hypotheses about (1) how judgment differs between people who ascribe greater vs. less moral relevance to choices, (2) how moral judgment is subject to task constraints that shift evaluative focus (to moral rules vs. to consequences), and (3) how differences in the propensity to rely on intuitive reactions affect judgment. In Study 1, judgments were affected by rated agreement with moral rules proscribing harm, whether the dilemma under consideration made moral rules versus consequences of choice salient, and by thinking styles (intuitive vs. deliberative). In Studies 2 and 3, participants evaluated policy decisions to knowingly do harm to a resource to mitigate greater harm or to merely allow the greater harm to happen. When evaluated in isolation, approval for decisions to harm was affected by endorsement of moral rules and by thinking style. When both choices were evaluated simultaneously, total harm -- but not the do/allow distinction -- influenced rated approval. These studies suggest that moral rules play an important, but context-sensitive role in moral cognition, and offer an account of when emotional reactions to perceived moral violations receive less weight than consideration of costs and benefits in moral judgment and decision making.     

An outcomes model of medical decision making

In the traditional fix-it model of medical decision making, the identified problem is typically characterized by a diagnosis that indicates a deviation from normalcy. When a medical problem is multifaceted and the available interventions are only partially effective, a broader vision of the health care endeavor is needed. What matters to the patient, and what should matter to the practitioner, is the patient's future possibilities. More specifically, what is important is the character of the alternative futures that the patient could have and choosing among them so as to achieve the best future possible, with the ranking of outcomes determined by the patient's preferences. This paper describes the fix-it model, presents and defends the outcomes-based model, and demonstrates that the latter is useful in developing normative conceptions of informed consent and decision making and in establishing a basis for societal involvement in the decision making process. Finally, several shortcomings of the model will be acknowledged.     

Escalation in organizational decision making a case of recruiting an incompetent employee

This paper analyses a case of hiring a manager who subsequently proves to be incompetent. Analysis reveals the importance of structural factors in escalation, especially politics. When these are considered, persistence emerges as both escalatory and rational. Likewise, behaviours manifest of information bias are actually logical managerial strategies and may mask political calculation. New potential escalation variables are identified including power, visibility, and organization culture. Withdrawal reflects an intricate balancing of factors including risk and opportunity. The theoretical implications of the findings are discussed.     

Order effects and memory for evidence in individual versus group decision making in auditing

Sequential processing of evidence may lead to recency effect, a potential bias in judgment. The present research seeks to extend the literature on recency effects by assessing the potential moderating influence of team work: whether group decision making moderates the severity of recency effects predicted by Hogarth and Einhorn (1992), and whether group processing influences the accuracy of, and confidence in memory for evidence. Experienced auditors from a Big‐6 accounting firm made audit judgments, either individually or as groups. They were randomly assigned to one of two levels of evidence presentation order. After performing the judgment task, participants completed two evidence recognition tests. Consistent with prior findings, recency effects on judgments were observed, but only for individuals. Group judgments or audit reports were not affected by recency. Order effects, however, did not translate into different choices of audit reports, and did not persist in memories of either individuals or groups. As expected, group memory was more accurate than individual memory and groups were more confident than individuals. Overall, confidence in accurate memories was greater than in inaccurate ones. Copyright © 1999 John Wiley & Sons, Ltd.     

Toward a methodology for moral decision making in medicine

The failure of medical codes to provide adequate guidance for physicians' moral dilemmas points to the fact that some rules of analysis, informed by moral theory, are needed to assist in resolving perplexing ethical problems occurring with increasing frequency as medical technology advances. Initially, deontological and teleological theories appear more helpful, but critcisms can be lodged against both, and neither proves to be sufficient in itself. This paper suggests that to elude the limitations of previous approaches, a method of moral decision making must be developed incorporating both coherence methodology and some independently supported theoretical foundations. Wide Reflective Equilibrium is offered, and its process described along with a theory of the person which is used to animate the process. Steps are outlined to be used in the process, leading to the application of the method to an actual case.     

Information distortion in self-other decision making

In both organizational and social arenas, individuals make decisions for themselves and for other individuals. But research in decision making has provided little input into whether or how these decisions are psychologically different. In this paper, I propose that decisions—depending on whom they are for—vary according to the extent of information distortion, such that, individuals who choose for themselves demonstrate more postdecisional distortion, yet less predecisional distortion than individuals who choose on behalf of others. To test this hypothesis, participants in an experiment made a decision between two restaurants. Attributes about each restaurant were presented sequentially, and preferences were measured following each attribute. As expected, participants who chose for themselves experienced more postdecisional distortion. However, among participants who chose on behalf of others, greater distortion of predecisional attribute information was observed. These findings shed light on the differences in self-other decision making, as well as on research concerning information distortion.