On bad decisions and disconfirmed expectancies: The psychology of regret and disappointment

Decision outcomes sometimes result in negative emotions. This can occur when a decision appears to be wrong in retrospect, and/or when the obtained decision outcome does not live up to expectations. Regret and disappointment are the two emotions that are of central interest in the present article. Although these emotions have a lot in common, they also differ in ways that are relevant to decision making. In this article we review theories and empirical findings concerning regret and disappointment. We first discuss how regret and disappointment differ with respect to their antecedent conditions, appraisals, and phenomenology. We also discuss possible behavioural consequences of experiencing these emotions. Next, we consider how the anticipation of regret and disappointment may influence decision making. We use regret and disappointment theory, developed by the economists Bell (1982, 1985), and Loomes and Sugden (1982, 1986, 1987), as a framework for our discussion. Finally, we argue that combining the theoretical approaches and research paradigms of behavioural decision theory with emotion theories will significantly increase our knowledge of antecedents and consequences of emotions.     

Toward a Mechanistic Understanding of Human Decision Making: Contributions of Functional Neuroimaging

ABSTRACT— This article considers the contribution of functional neuroimaging toward understanding the computational underpinnings of human decision making. We outline the main processes likely underlying the capacity to make simple choices and describe their associated neural substrates. Relevant processes include the ability to encode a representation of the expected value or utility associated with each option in a decision problem, to learn such expectations through experience, and to modify action selection in order to choose those actions leading to the greatest reward. We provide several examples of how functional neuroimaging data have helped to shape and inform theories of decision making over and above results available from traditional behavioral measures.     

Talking about Disability in Prenatal Genetic Counseling: A Report of Two Interactive Workshops

Women are commonly offered testing in pregnancy to determine the health of their baby. An important component of informed decision-making about prenatal testing is provision of relevant, accurate, meaningful information concerning the conditions that are being tested for—many of which, such as Down syndrome, are associated with a varying degree of physical and intellectual disability. A range of health professionals, including genetic counselors, may provide information and support throughout the testing process, but available data suggest that discussion of disability is frequently absent or limited. To investigate genetic counselors’ perceptions of this situation and identify potential barriers to discussion we facilitated interactive workshops at the 2007 National Society of Genetic Counselors Annual Education Conference (NSGC) and the 2008 European Meeting on Psychosocial Aspects of Genetics (EMPAG). Working groups identified relevant psychosocial issues and impediments to discussion (NSGC) or used a two-part scenario to promote discussion (EMPAG) and reported findings in notes and a closing plenary discussion. Inductive content analysis revealed that participants considered informed decision making to be a major reason for presenting information about disabilities in prenatal genetic counseling and endorsed the value of including information about daily life with Down syndrome and other disabilities. However, they identified three broad types of impediments to such discussion: counseling issues concerning the most appropriate manner to discuss disability under the complex circumstances of prenatal genetic counseling, less than optimal training and experience in addressing these issues, and perceived limitations in the participants’ knowledge and understanding of life with disability. Our analysis of the responses from the workshop participants and additional thoughts on these issues have led us to develop recommendations for further research, training and clinical practice.     

Optimal decision making in neural inhibition models

In their influential Psychological Review article, Bogacz, Brown, Moehlis, Holmes, and Cohen (2006) discussed optimal decision making as accomplished by the drift diffusion model (DDM). The authors showed that neural inhibition models, such as the leaky competing accumulator model (LCA) and the feedforward inhibition model (FFI), can mimic the DDM and accomplish optimal decision making. Here we show that these conclusions depend on how the models handle negative activation values and (for the LCA) across-trial variability in response conservativeness. Negative neural activations are undesirable for both neurophysiological and mathematical reasons. However, when negative activations are truncated to 0, the equivalence to the DDM is lost. Simulations show that this concern has practical ramifications: the DDM generally outperforms truncated versions of the LCA and the FFI, and the parameter estimates from the neural models can no longer be mapped onto those of the DDM in a simple fashion. We show that for both models, truncation may be avoided by assuming a baseline activity for each accumulator. This solution allows the LCA to approximate the DDM and the FFI to be identical to the DDM.     

Better to Decide Together: Shared Consumer Decision Making,Perceived Power,and Relationship Satisfaction

Shared consumer decisions, particularly those made with a relationship partner, can be very different from decisions that are made alone. Across multiple studies, we investigate how shared consumer decision making affects perceptions of power and relationship satisfaction. We integrate two streams of research to create a novel theory about consumer decision making and perceived power. Specifically, we suggest that shared consumer decision making combines two necessary components of power—an individual's influence over and a partner's engagement in the decision—and that these combined components drive power perceptions. In other words, individuals who relinquish some control and make a decision with their partner, ironically, perceive having greater power than if they had made the decision alone. We further find that shared decision making and greater perceived power lead to greater satisfaction with the relationship in which the decisions are made. By focusing on consumer decision making within relationships, the current research contributes to the literatures on decision making, social influences in consumer behavior, close relationships, consumer well-being, and power.     

Decision making and free will: a neuroscience perspective

A thorough analysis of the question of whether we possess "free will" requires that we take into account the process of exercising that will: that is, the neural mechanisms of decision making. Much of what we know about these mechanisms indicates that decision making is greatly influenced by implicit processes that may not even reach consciousness. Moreover, there exist conditions, for example certain types of brain injury or drug addiction, in which an individual can be said to have a disorder of the will. Examples such as these demonstrate that the idea of freedom of will on which our legal system is based is not supported by the neuroscience of decision making. Using the criminal law as an example, we discuss how new discoveries in neuroscience can serve as a tool for reprioritizing our society's legal intuitions in a way that leads us to a more effective and humane system.     

贝叶斯决策理论对复杂运动决策中运动预期的启发——以网球和足球为例

对运动决策的研究是认知运动心理学的一个重要领域。运动预期被认为是运动决策的核心, 受到运动学和非运动学信息的影响。其中, 对运动预期研究的一个关键问题是探讨不同信息源对运动结果预期的贡献以及两者之间的相互作用。研究者运用贝叶斯决策理论解释运动预期中不同信息的整合过程, 分析运动员在复杂的竞赛情景中如何做出最佳决策, 尤其是对该理论在网球和足球领域的潜在应用进行分析。在不确定的情况下, 竞技体育中并非所有的选择、结果或概率都是已知的, 故有研究者认为概率论和经典的决策理论不能有效解决此类问题。然而新近提出的启发式近似, 为运动员在贝叶斯框架下如何快速做出选择提供了理论依据：首先, 在复杂和有时间压力的竞赛情景中, 启发式近似假设运动员依据竞赛中不同信息源的不确定程度, 很可能选择在运动学信息和情境先验之间进行切换启发式, 提高运动预期的效率。其次, 判断效用通过卷积效应影响两种信息源的整合, 降低情境先验的影响程度。     

EVOLUTION OF RELIGIOUS CAPACITY IN THE GENUS HOMO: TRAIT COMPLEXITY IN ACTION THROUGH COMPASSION

In this third and last article on the evolution of religious capacity, the authors focus on compassion, one of religious expression's common companions. They explore the various meanings of compassion, using Biblical and early related documents, and derive general cognitive components before an evolutionary analysis of compassion using their model. Then, in taking on neural reuse theory, they adapt a model from linguistics theory to understand how neural reuse could have operated to fix religious capacity in the human genome. They present a teaching tool on “Religious Capacity in Action,” and develop an example of compassionate decision making in very early Homo sapiens in North Africa. They round out their analysis of compassion by exploring theory in neuroscience on a standard decision‐making model, and investigate what goes on in the human brain when a values‐based decision is made.     

应激对风险和社会决策的影响

应激是有机体在受到真实或者潜在的威胁刺激时所表现出来的全身性非特异性反应, 伴随着紧张和焦虑的心理体验, 交感神经系统的兴奋, 糖皮质激素分泌的增多以及脑干−边缘系统−前额叶神经环路的改变。应激对个体在风险决策行为中的风险寻求和风险回避倾向, 社会决策行为中的利己和利他倾向都会产生重要影响。策略使用异常、习惯化和自动化反应增强、反馈学习过程以及奖惩敏感性的改变是应激影响决策行为的认知基础; 应激激素的分泌, 及杏仁核、前额叶等在决策过程发挥重要作用的脑区活动的改变则为应激作用于决策行为的神经基础。未来研究应重点关注：应激的个体差异与应激对决策影响效应多样性的关系; 综合多种指标对应激进行测量; 考察应激的时序效应; 揭示个体的最佳应激水平; 加强对慢性应激影响决策以及应激对决策影响效应可逆性的研究; 揭示应激影响决策的神经机制。     

Learning to allocate limited time to decisions with different expected outcomes

The goal of this article is to investigate how human participants allocate their limited time to decisions with different properties. We report the results of two behavioral experiments. In each trial of the experiments, the participant must accumulate noisy information to make a decision. The participants received positive and negative rewards for their correct and incorrect decisions, respectively. The stimulus was designed such that decisions based on more accumulated information were more accurate but took longer. Therefore, the total outcome that a participant could achieve during the limited experiments’ time depended on her “decision threshold”, the amount of information she needed to make a decision. In the first experiment, two types of trials were intermixed randomly: hard and easy. Crucially, the hard trials were associated with smaller positive and negative rewards than the easy trials. A cue presented at the beginning of each trial would indicate the type of the upcoming trial. The optimal strategy was to adopt a small decision threshold for hard trials. The results showed that several of the participants did not learn this simple strategy. We then investigated how the participants adjusted their decision threshold based on the feedback they received in each trial. To this end, we developed and compared 10 computational models for adjusting the decision threshold. The models differ in their assumptions on the shape of the decision thresholds and the way the feedback is used to adjust the decision thresholds. The results of Bayesian model comparison showed that a model with time-varying thresholds whose parameters are updated by a reinforcement learning algorithm is the most likely model. In the second experiment, the cues were not presented. We showed that the optimal strategy is to use a single time-decreasing decision threshold for all trials. The results of the computational modeling showed that the participants did not use this optimal strategy. Instead, they attempted to detect the difficulty of the trial first and then set their decision threshold accordingly.     

Probing human and monkey anterior cingulate cortex in variable environments

Previous research has identified the anterior cingulate cortex (ACC) as an important node in the neural network underlying decision making in primates. Decision making can, however, be studied under a large variety of circumstances, ranging from the standard well-controlled lab situation to more natural, stochastic settings, in which multiple agents interact. Here, we illustrate how these different varieties of decision making studied can influence theories of ACC function in monkeys. Converging evidence from unit recordings and lesion studies now suggest that the ACC is important for interpreting outcome information according to the current task context to guide future action selection. We then apply this framework to the study of human ACC function and discuss its potential implications.     

Age differences in financial decision making: The benefits of more experience and less negative emotions

The emerging literature on aging and decision making posits that decision‐making competence changes with age, as a result of age differences in various cognitive and noncognitive individual‐differences characteristics. In a national life‐span sample from the United Kingdom (N = 926), we examined age differences in financial decisions, including performance measures of sunk cost and credit card repayment decisions, and self‐report measures of money management and financial decision outcomes. Participants also completed four individual‐differences characteristics that have been proposed as relevant to financial decision making, including two cognitive ones (numeracy and experience‐based knowledge) and two noncognitive ones (negative emotions about financial decisions). First, we examined how age was related to the four financial decision‐making measures and the four individual‐differences characteristics. Older age was correlated to better scores on each of the four financial decision‐making measures, more experience‐based knowledge, less negative emotions about financial decisions, whereas numeracy and motivation were not significantly correlated with age. Second, we found that considering both the two cognitive and the two noncognitive individual‐differences characteristics increased predictions of financial decision making, as compared with considering either alone. Third, we examined how these four individual‐differences characteristics contributed to age differences in financial decision making. Older adults' higher levels of experience‐based knowledge and lower levels of negative emotions seemed to especially benefit their financial decision making. We discuss implications for theories on aging and decision making, as well as for interventions targeting financial decisions.     

Short-term gains, long-term pains: How cues about state aid learning in dynamic environments

Successful investors seeking returns, animals foraging for food, and pilots controlling aircraft all must take into account how their current decisions will impact their future standing. One challenge facing decision makers is that options that appear attractive in the short-term may not turn out best in the long run. In this paper, we explore human learning in a dynamic decision making task which places short- and long-term rewards in conflict. Our goal in these studies was to evaluate how people’s mental representation of a task affects their ability to discover an optimal decision strategy. We find that perceptual cues that readily align with the underlying state of the task environment help people overcome the impulsive appeal of short-term rewards. Our experimental manipulations, predictions, and analyses are motivated by current work in reinforcement learning which details how learners value delayed outcomes in sequential tasks and the importance that “state” identification plays in effective learning.     

The Path of Least Resistance: Using Easy-to-Access Information

Abstract— Recent work on judgment and decision making has focused on how people preferentially use cues, or pieces of relevant information, that are easy to access when making decisions. In this article, we discuss a framework for understanding the ways that cues become accessible. We begin by identifying two components of cues and show how these components can become accessible during different parts a decision process. We highlight evidence for the use of accessible information and discuss implications for future research on heuristics.     

青少年风险决策的发展认知神经机制

随着认知神经科学技术的发展, 青少年风险决策的发展认知神经机制成为了新近的一个热点课题。从双系统理论模型(社会情感神经网络系统、认知控制神经网络系统)出发, 对与青少年风险决策相关的大脑结构、功能的变化进行了阐述, 重点分析了新近的大脑功能连接、脑网络的研究; 阐述了青少年风险决策认知神经机制的主要理论模型：双系统模型和三角模型。未来研究还应加强对认知神经机制理论模型的检验、整合和创新, 从社会认知神经科学的角度深入研究社会参照系统(同伴关系、亚文化等)在青少年风险决策中的作用及机制, 以及从认知神经层面如何预防和干预青少年高风险行为。     

职业决策困难研究述评

职业决策困难是指个人在职业决策过程中所遇到的各种难题,其一直是生涯心理学当中一个非常重要的研究主题.它会以两种方式影响职业决策结果:一是,导致个体无法做出决定;二是,导致个体做出劣质决定.本文回顾了1980～2012年国内外相关研究,对职业决策困难的概念界定、亚类型、结构、测量工具、影响因素和干预措施进行了系统梳理.在此基础上,对未来研究方向进行了展望,指出未来研究需要进一步清晰界定职业决策困难的内涵和外延、对维度构成达成共识、深入探索形成机制以及加强定制化干预研究.     

Conflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function

According to one influential account, the anterior cingulate cortex (ACC) serves to monitor for conflicts in information processing. According to another influential account, the ACC monitors action outcomes and guides decision making. Both of these perspectives are supported by an abundance of data, making it untenable to reject one view in favor of the other. Instead, the apparent challenge is to discover how the two perspectives might fit together within a larger account. In the present article, we consider the prospects for such a reconciliation. Juxtaposing the conflict-monitoring and decision-making accounts suggests an extension of the conflict-monitoring theory, by which conflict would act as a teaching signal driving a form of avoidance learning. The effect of this mechanism would be to bias behavioral decision making toward cognitively efficient tasks and strategies. We discuss evidence favoring this proposal and present an initial computational model, which lays the foundation for further development.     

Cognitive Diversity and Consensus in Group Decision Making: The Role of Inputs, Processes, and Outcomes

This study contributes to the new and growing body of research on shared cognition by examining how individuals entering a group decision-making context with different perspectives of the issues to be discussed arrive at cognitive consensus. Cognitive consensus refers to similarity among group members regarding how key matters are conceptualized and was operationalized as shared assumptions underlying decision issues in the present research. Utilizing 37 student groups participating in a multi-issue decision-making exercise, the study investigated antecedents and correlates of cognitive consensus. Results revealed that unanimity decision rule groups achieved more cognitive consensus than majority rule groups. In addition, group members inquiring concerning the reasons underlying others' decision preferences, accepting others' viewpoints as legitimate, and incorporating others' perspectives into their own interpretations of the issues was positively related to arriving at a greater degree of cognitive consensus. Cognitive consensus also positively influenced expectations regarding decision implementation and satisfaction.     

Cells,circuits, and choices: Social influences on perceptual decision making

Making decisions is an integral part of everyday life. Social psychologists have demonstrated in many studies that humans’ decisions are frequently and strongly influenced by the opinions of others—even in simple perceptual decisions, where, for example, participants have to judge what an image looks like. However, because the effect of other people’s opinions on decision making has remained largely unaddressed by the neuroimaging and neurophysiology literature, we are only beginning to understand how social influence is integrated into the decision-making process. We put forward the thesis that by probing the neurophysiology of social influence with perceptual decisionmaking tasks similar to those used in the seminal work of Asch (1952, 1956), this gap could be remedied. Perceptual paradigms are already widely used to probe neuronal mechanisms of decision making in nonhuman primates. There is also increasing evidence about how nonhuman primates’ behavior is influenced by observing conspecifics. The high spatial and temporal resolution of neurophysiological recordings in awake monkeys could provide insight into where and how social influence modulates decision making, and thus should enable us to develop detailed functional models of the neural mechanisms that support the integration of social influence into the decision-making process.