自我控制的资源模型简介

自我控制是人格心理学研究的重要方面。释理论,它已经得到了许多研究的证实。章最后对该模型的发展做出预期。近年来,自我控制的资源模型作为一种新的自控解本文旨在对这一自控模型进行简要的介绍,并在文     

The Strength Model of Self-Control

ABSTRACT— Self-control is a central function of the self and an important key to success in life. The exertion of self-control appears to depend on a limited resource. Just as a muscle gets tired from exertion, acts of self-control cause short-term impairments (ego depletion) in subsequent self-control, even on unrelated tasks. Research has supported the strength model in the domains of eating, drinking, spending, sexuality, intelligent thought, making choices, and interpersonal behavior. Motivational or framing factors can temporarily block the deleterious effects of being in a state of ego depletion. Blood glucose is an important component of the energy.     

No ego-depletion effect without a good control task

The ego-depletion effect refers to a temporary failure of self-control exertion after first performing an effortful task. This phenomenon has experienced a replication crisis in the past few years. In the present series of experiments, we tried to replicate the ego-depletion effect using a 30-min modified Stroop task tapping two executive functions (inhibitory control and cognitive flexibility) as the depleting task. In the first study, we compared the performance of a handgrip endurance task after this depleting task or after a classic control task (i.e., reading color words) and failed to replicate the ego-depletion effect. We showed that the control task induced boredom and subjective fatigue. In a second study, we looked for a better control task and compared the color-word reading task to another possible control task used in the literature (i.e., watching a documentary). Controlling for boredom, subjective fatigue, motivation and affective state, we found that the video task was not boring and did not induce fatigue, drop in motivation or negative affective state, whereas the color-word reading task did. In a third study, we used the video task as the control task and the modified effortful Stroop task used in the first study as the depleting task and succeeded in replicating the ego-depletion effect. This series of experiments illustrates that the choice of an appropriate control task is crucial to observe an ego-depletion effect and that boredom is costly. Consequently, it appears necessary to control for boredom in any future replication study aiming to observe an ego-depletion effect.     

休息对自我损耗的补偿作用

两个实验旨在检验自我损耗效应并探讨休息对自我损耗的补偿作用。在实验1中,损耗组被试通过观看注意控制视频诱发自我控制资源的损耗,然后完成Stroop任务。实验2与实验1的不同之处在于,诱发自我损耗后进行不同时间（5分钟、10分钟）的休息处理。两个实验结果发现：（1）注意控制视频成功诱发了自我损耗效应;（2）休息对自我损耗具有补偿作用;（3）在损耗状态下,休息5分钟即对自我控制资源具有补偿作用。研究结果证实了自我损耗的资源枯竭观。     

自我损耗对运动表现影响的元分析

运用元分析方法考察自我损耗对运动表现影响及其调节变量。通过中英文文献搜索,共纳入31篇文献和37个效应量,总样本量为1613。结果:(1)总体效应量检验发现,运动任务中的自我损耗为中等效应量,d=0.55,95%CI为[0.39,0.71];由于存在发表偏倚性,该中等效应量可能会被高估。(2)调节变量检验发现,自我损耗效应量较少受研究对象来源、研究对象类型和运动任务类型的影响;但受损耗任务类型和技能型任务中压力情境的影响。(3)执行运动任务时,主观体力感、心率和肌电等指标不存在自我损耗效应。这些研究结果支持了自我控制的力量模型具有普遍适用性,自我控制资源的领域普遍性以及自我控制的力量模型与注意控制理论整合的观点。未来研究应严格控制实验条件、拓展运动任务中自我损耗应对和自我控制训练的研究。     

自我损耗的视听通道效应

采用双任务实验范式,通过两个实验探讨了自我损耗的通道效应。实验1考察了完成视听工作记忆任务对执行手柄任务（非视听任务）的影响,结果发现,完成视觉损耗任务导致手柄任务的成绩显著地变差,完成听觉损耗任务、视听非损耗任务均对手柄任务的成绩没有影响。实验2考察了完成视听工作记忆任务对执行Stroop任务（视觉任务）的影响,结果发现,完成视觉损耗任务导致Stroop任务的成绩显著地变差,完成听觉损耗任务、视听非损耗任务对Stroop任务的成绩没有影响。研究结果表明同一自我控制任务通过视听通道完成对随后另一自我控制任务的影响不同,证实了自我损耗的视听通道效应。     

No indication that the ego depletion manipulation can affect insight: a comment on DeCaro and Van Stockum (2018)

Abstract

Recently, DeCaro and Van Stockum have suggested that ego depletion following intensive self-control can improve insight problem-solving; this finding was interpreted in terms of insight relying on decreased control over attention and memory. However, DeCaro and Van Stockum used three variants of the single matchstick arithmetic problem. Experiment 1 involved low sample and non-standard problem application, while the more powered Experiment 2 yielded a surprisingly low solution rate. These facts made both studies problematic and called for their replication. In the two present studies, the DeCaro and Van Stockum ego-depletion manipulation and their matchstick problems were administered to a total of 316 people. Furthermore, various other insight problems, subjective ratings of insight experience, analytical problems and executive control tests were applied. The key result was that no reliable effect of ego depletion could be found for any of these measures.     

自我损耗对工作场所安全的影响及缓解途径

员工安全行为是工作场所安全的重要保障,而自我控制资源损耗会对安全行为产生负面影响。研究拟借鉴自我控制资源有限模型,结合行为和生理指标,探讨工作要求和辱虐管理通过损耗个体自我控制资源对安全行为的影响,并从特质自我控制和自动化安全趋近倾向两个角度探索上述效应的缓解机制。此外,研究拟采用心率变异性作为自我损耗的生理测量。研究有助于从自我控制资源的角度理解员工不安全行为的影响因素、发生机制和缓解方法。     

自我控制的能量模型:证据、质疑和展望

自我控制的能量模型是解释自我控制的一个重要理论模型。该模型认为,所有的自我控制行为依赖一种共同且有限的能量,执行自我控制会消耗这种能量,导致自我损耗效应的产生,但能量也可以通过一些方法得以恢复和提升。该模型得到大量行为和生理层面研究的支持,但也有研究者从疲劳、情绪、动机、血糖指标、时间知觉等方面提出质疑。未来研究可从自我能量的性质、总量等角度进一步完善能量模型,同时结合我国文化探讨理想、信念、价值观对提升我国国民意志力的作用。     

Vocational choice: A decision making perspective

We propose a model of vocational choice that can be used for analyzing and guiding the decision processes underlying career and job choices. Our model is based on research in behavioral decision making (BDM), in particular the choice goals framework developed by Bettman, Luce, and Payne (1998). The basic model involves two major processes. First, the selection of a decision strategy according to four choice goals: maximizing decision accuracy, minimizing cognitive effort, minimizing negative emotion, and maximizing justifiability of the decision. Second, the construction of situation-specific preferences, which can reflect irrelevant task and context factors such as the evaluation mode. This basic model is extended to account for social influences and the long decision time typical of most career and job decisions. We review research on vocational choice in light of this model, discuss normative implications for counseling, and outline a research agenda for studying vocational choice from a behavioral decision making perspective.     

Achieving what cannot be done: coping with the time constants in a dynamic decision task by doing something else

This study examines how people handle the time constants in dynamic decision tasks, using a microworld called NEWFIRE which simulates forest fire fighting. The results showed that the participants did not adapt to the time constants, as shown by the fact that they did not discriminate between fires requiring different number of fire fighting units when varying the number of fire fighting units was a means of compensating for the time constants. If they were allowed to move units before the fire started their performance improved, suggesting that they could compensate for their problems with the time constants by restructuring the task in such a way that they did not need to consider them. It is suggested that such restructuring may well be how people handle dynamic tasks also in other circumstances, and that more effort should be put into studying what people actually do in dynamic tasks, rather than into only assessing whether or not they perform optimally.     

无意识自我控制目标启动对自我损耗的补偿效应

本研究基于对无意识目标启动的研究,采用阈上、阈下启动方式探讨无意识目标启动对自我损耗的补偿作用。实验1发现,阈上无意识目标启动能够有效提高自我控制,促进自控表现。实验2发现,阈下无意识目标启动对自我损耗存在补偿效应。上述结果提示,通过无意识启动方式激活自我控制目标,可以克服自我损耗的不良效应,且无需意识参与。     

Self-control and mechanisms of behavior: Why self-control is not a natural mental kind

In this paper, I argue for two main hypotheses. First, that (philosophical) self-control is not a natural mental kind and, second, that there is no dedicated mechanism of self-control (indeed, the latter claim forms part of my argument for the former). By the first claim, I simply mean that those behaviors we label as “self-controlled” are a somewhat arbitrarily selected hodgepodge that do not have anything in common that distinguishes them from other behaviors. In other words, self-control is a gerrymandered property that does not correspond to a natural mental or psychological kind. By the second claim, I mean that self-controlled behaviors are not produced by a mechanism (or a set of them) that is not utilized in the production of other (non-self-controlled) behaviors. Not only is there no natural mental property of self-control, there is no mechanism (such as willpower) that is dedicated to producing self-controlled behavior. I further evaluate whether this account of self-control has enough explanatory power to account for a range of phenomena related to self-control (systematic self-control failures, etc.). I argue that my account does a better job of explaining these phenomena than accounts which appeal to a dedicated self-control mechanism.     

Decision by sampling: The role of the decision environment in risky choice

Decision by sampling (DbS) is a theory about how our environment shapes the decisions that we make. Here, I review the application of DbS to risky decision making. According to classical theories of risky decision making, people make stable transformations between outcomes and probabilities and their subjective counterparts using fixed psychoeconomic functions. DbS offers a quite different account. In DbS, the subjective value of an outcome or probability is derived from a series of binary, ordinal comparisons with a sample of other outcomes or probabilities from the decision environment. In this way, the distribution of attribute values in the environment determines the subjective valuations of outcomes and probabilities. I show how DbS interacts with the real-world distributions of gains, losses, and probabilities to produce the classical psychoeconomic functions. I extend DbS to account for preferences in benchmark data sets. Finally, in a challenge to the classical notion of stable subjective valuations, I review evidence that manipulating the distribution of attribute values in the environment changes our subjective valuations just as DbS predicts.     

自我损耗降低决策理性:心理机制与边界条件

处于自我损耗状态时, 个体在意愿上偏好即时利益和目标, 并且会做出许多非理性决策行为。在梳理自我损耗对行为决策的影响基础上, 指出自我损耗降低决策理性的注意机制和执行机制:一方面, 损耗使个体注意力更容易为即时利益所捕获, 进而重视短期利益而忽视长远利益, 即降低个体关注未来的能力; 另一方面, 损耗导致个体缺少计划性和行为实施的执行力, 即降低个体坚守未来的能力。此外, 损耗对决策理性的影响存在个体和情境两个方面的重要边界。未来可结合眼动技术验证损耗降低决策理性的注意机制, 进一步探究潜在边界条件以及寻找助推理性决策的方法。     

Individual differences in fast-and-frugal decision making: Neuroticism and the recognition heuristic

The fast-and-frugal recognition heuristic (RH) claims that people base inferences on recognition only, thus ignoring further knowledge they possess. This claim has been repeatedly challenged, while recent evidence suggests that there are substantial individual differences in adhering to the RH. However, no personality or ability factors driving (non-)use of the RH have, as yet, been identified. In the present study, neuroticism was hypothesized to be a determinant of using the RH: participants high in neuroticism were expected to avoid making use of their knowledge beyond recognition, thus avoiding a diagnostic test of their abilities. The results corroborate this hypothesis: neuroticism predicted participants’ adherence to the RH while the other Big 5 factors and intelligence yielded no additional explanatory power. Moreover, the effect of neuroticism was not mediated by the accessibility of knowledge thus lending preliminary support for the notion that this effect may, in fact, be genuinely motivational in nature.     

The impact of task complexity on information use in multi-attribute decision making

This study presents a process analysis of multi-attribute decision making. The decision problems concerned the selection of the most suitable candidate for a job opening. The problems varied in terms of complexity, i.e. the number of candidates and the number of attributes used to describe these alternatives. Results show that with an increasing number of alternatives, subjects (N = 48) used fewer attributes for the evaluation of alternatives, and made, on average, less references to the alternatives. The type of judgment most often used was absolute dimensional (comparison of an attribute to an absolute standard) and was used more often at the beginning than toward the end of the decision process. Overall, judgments were predominantly positive. The percentage of positive judgments decreased with increasing complexity, and toward the end of the decision process. Significantly more judgments, particularly positive ones, concerned the finally chosen alternative as compared to the rest of the alternatives. Finally, analysis of subjects' usage of decision rules revealed that increasing the number of alternatives resulted in an increasing use of elimination strategies. Implications of these findings for the design of decision aids will be discussed.     

Effects of information accuracy and volume on decision making

Recent advances in information technology have resulted in increasingly complex work environments. Much of the complexity is due to a deluge of information available across networks (Gleick, 2011) and unknown reliability, which introduces additional uncertainty (Platt & Huettel, 2008). Understanding the performance characteristics of human information processing for optimal decision making under such conditions of data abundance and uncertainty is critical in complex networked information environments, such as military operations. One focus of the United States military is providing troops with the richness of information formally reserved for higher echelons (Bawden & Robinson, 2009). However, this effort risks cognitive overload, where too much information can result in impaired performance. The present study examined human decision making under varying levels of cognitive load and source reliability. Participants determined the reliability of two information sources and decided how to use them to minimize cognitive load and improve performance in a visual search task. Unbeknownst to participants, one source provided highly accurate information and one provided moderately accurate information. Results showed that participants had more trust in the more accurate than the less accurate source, and decision making accuracy decreased as cognitive load increased. When cognitive load was highest, participants were more accurate on trials with the more accurate source. Thus, the more accurate source facilitated better performance, whether through better intel or through participants offloading some of the cognitive load to the reliable source.     

Cognitive models of choice: comparing decision field theory to the proportional difference model

People often face preferential decisions under risk. To further our understanding of the cognitive processes underlying these preferential choices, two prominent cognitive models, decision field theory (DFT; Busemeyer & Townsend, 1993 ) and the proportional difference model (PD; González-Vallejo, 2002 ), were rigorously tested against each other. In two consecutive experiments, the participants repeatedly had to choose between monetary gambles. The first experiment provided the reference to estimate the models' free parameters. From these estimations, new gamble pairs were generated for the second experiment such that the two models made maximally divergent predictions. In the first experiment, both models explained the data equally well. However, in the second generalization experiment, the participants' choices were much closer to the predictions of DFT. The results indicate that the stochastic process assumed by DFT, in which evidence in favor of or against each option accumulates over time, described people's choice behavior better than the trade-offs between proportional differences assumed by PD.