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首页> 外文期刊>Frontiers in Psychology >Mood As Cumulative Expectation Mismatch: A Test of Theory Based on Data from Non-verbal Cognitive Bias Tests
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Mood As Cumulative Expectation Mismatch: A Test of Theory Based on Data from Non-verbal Cognitive Bias Tests

机译:情绪作为累积期望不匹配:基于非语言认知偏差测验数据的理论测验

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摘要

Affective states are known to influence behavior and cognitive processes. To assess mood (moderately long-term affective states), the cognitive judgment bias test was developed and has been widely used in various animal species. However, little is known about how mood changes, how mood can be experimentally manipulated, and how mood then feeds back into cognitive judgment. A recent theory argues that mood reflects the cumulative impact of differences between obtained outcomes and expectations. Here expectations refer to an established context. Situations in which an established context fails to match an outcome are then perceived as mismatches of expectation and outcome. We take advantage of the large number of studies published on non-verbal cognitive bias tests in recent years (95 studies with a total of 162 independent tests) to test whether cumulative mismatch could indeed have led to the observed mood changes. Based on a criteria list, we assessed whether mismatch had occurred with the experimental procedure used to induce mood (mood induction mismatch), or in the context of the non-verbal cognitive bias procedure (testing mismatch). For the mood induction mismatch, we scored the mismatch between the subjects’ potential expectations and the manipulations conducted for inducing mood whereas, for the testing mismatch, we scored mismatches that may have occurred during the actual testing. We then investigated whether these two types of mismatch can predict the actual outcome of the cognitive bias study. The present evaluation shows that mood induction mismatch cannot well predict the success of a cognitive bias test. On the other hand, testing mismatch can modulate or even inverse the expected outcome. We think, cognitive bias studies should more specifically aim at creating expectation mismatch while inducing mood states to test the cumulative mismatch theory more properly. Furthermore, testing mismatch should be avoided as much as possible because it can reverse the affective state of animals as measured in a cognitive judgment bias paradigm.
机译:众所周知,情感状态会影响行为和认知过程。为了评估情绪(中等程度的长期情感状态),开发了认知判断偏差测试,该测试已广泛用于各种动物。但是,人们对情绪如何变化,如何通过实验来操纵情绪以及情绪如何反馈到认知判断知之甚少。最近的理论认为,情绪反映了获得的结果和期望之间差异的累积影响。这里的期望指的是既定的背景。然后,将已建立的情境与结果不匹配的情况视为期望与结果的不匹配。我们利用近年来发表的关于非语言认知偏见测试的大量研究(95项研究,总共162项独立测试)来检验累积的失配是否确实导致了观察到的情绪变化。基于标准列表,我们评估了是否发生过用于诱发情绪的实验程序(情绪感应失配)或在非语言认知偏差程序(测试失配)的情况下发生失配。对于情绪诱导不匹配,我们对受试者的潜在期望与进行诱导情绪的操作之间的不匹配进行评分,而对于测试不匹配,我们对实际测试中可能发生的不匹配进行评分。然后,我们调查了这两种类型的失配是否可以预测认知偏差研究的实际结果。本评价表明,情绪诱导失配不能很好地预测认知偏差测试的成功。另一方面,测试失配会调节甚至逆转预期结果。我们认为,认知偏差研究应更具体地针对于产生期望失配,同时诱导情绪状态以更正确地测试累积失配理论。此外,应尽可能避免测试不匹配,因为它会逆转认知判断偏差范例中所测动物的情感状态。

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