Emotion Specificity and Consumer Behavior: Anger, Sadness, and Preference for Activity

We examine the influence of two specific negative emotions (i.e., sadness and anger) on consumers' preference for an advertised product promoting either activity (e.g., exercise) or passivity (e.g., relaxation). On the basis of empirical distinctions between the level of activation accompanying sadness and anger, and drawing upon a mood-as-information perspective, we hypothesized that individuals will have a preference for activity to passivity when in an angry compared to a sad emotional state. Thus, when angry, they preferred a product advertised as active, whereas when sad they preferred a product described in more passive terms.     

Contrasting rule-based and similarity-based category learning: The effects of mood and prior knowledge on ambiguous categorization

This study adopts a dual-system view of category learning. The findings suggest that consumers who learn a dominant feature as a verbal rule for a product category will classify a new ambiguous product according to that feature even if it more closely resembles a different product category. The findings also demonstrate that dominant features can bias categorization toward a less prototypical category in the event that the new product breaks the rule. We refer to this phenomenon as criterial inferencing. Lastly, we offer unique empirical evidence to suggest that mood influences category learning and thus attenuates the criterial inferencing bias.     

Flicker-light induced visual phenomena: frequency dependence and specificity of whole percepts and percept features

Flickering light induces visual hallucinations in human observers. Despite a long history of the phenomenon, little is known about the dependence of flicker-induced subjective impressions on the flicker frequency. We investigate this question using Ganzfeld stimulation and an experimental paradigm combining a continuous frequency scan (1–50 Hz) with a focus on re-occurring, whole percepts. On the single-subject level, we find a high degree of frequency stability of percepts. To generalize across subjects, we apply two rating systems, (1) a set of complex percept classes derived from subjects’ reports and (2) an enumeration of elementary percept features, and determine distributions of occurrences over flicker frequency. We observe a stronger frequency specificity for complex percept classes than elementary percept features. Comparing the similarity relations among percept categories to those among frequency profiles, we observe that though percepts are preferentially induced by particular frequencies, the frequency does not unambiguously determine the experienced percept.     

目标设置对工作记忆成绩影响的实验研究

为了回应Locke提出的“目标设置理论仍然需要发展”的观点,本文从认知心理学的角度对目标设置理论进行了检验。结果表明：设置明确且有一定难度的目标比设置模糊或一般性目标会使被试产生更高水平的努力,从而提高成绩;设置明确但难度偏低的目标与设置模糊目标的成绩间并无显著性差异;被试对目标的可接受性程度越高,成绩越好;任务难度变量对目标难度与成绩之间的调节效应要通过被试对策略的发掘和使用以及在时间方面给予一定的压力才能得到体现。     

Restructuring partitioned knowledge: the role of recoordination in category learning

Knowledge restructuring refers to changes in the strategy with which people solve a given problem. Two types of knowledge restructuring are supported by existing category learning models. The first is a relearning process, which involves incremental updating of knowledge as learning progresses. The second is a recoordination process, which involves novel changes in the way existing knowledge is applied to the task. Whereas relearning is supported by both single- and multiple-module models of category learning, only multiple-module models support recoordination. To date, only relearning has been directly supported empirically. We report two category learning experiments that provide direct evidence of recoordination. People can fluidly alternate between different categorization strategies, and moreover, can reinstate an old strategy even after prolonged use of an alternative. The knowledge restructuring data are not well fit by a single-module model (ALCOVE). By contrast, a multiple-module model (ATRIUM) quantitatively accounts for recoordination. Low-level changes in the distribution of dimensional attention are shown to subsequently affect how ATRIUM coordinates its modular knowledge. We argue that learning about complex tasks occurs at the level of the partial knowledge elements used to generate a response strategy.     

创造力的脑结构与脑功能基础

从脑结构和脑功能两方面对创造力的脑神经基础进行了评述。就创造力的脑结构而言,尸体脑解剖研究表明创造力可能与顶叶与角回有关;活体脑结构成像研究则显示,创造力主要与额叶、扣带回以及皮下白质或灰质浓度有关。就创造力的脑功能而言,任务取向研究表明创造力任务主要激活了额叶和顶叶及少数其他皮层区域;而个体差异取向研究则表明创造力被试激活了右侧额叶、大脑皮层以及小脑的某些区域。未来研究需在加强脑结构影像研究基础上,注重从被试抽样和筛选等方面细化任务模式和个体差异模式的创造力研究,以获得更一致的结果。     

日常烦心事研究概况

日常烦心事是一种常见的日常压力源, 是压力研究的重要方面。目前主要使用量表法、访谈法和日记法来测量烦心事。个体的人格特征、性别、年龄以及事件特征等是日常烦心事产生的主要影响因素。日常烦心事引起消极情绪, 从而影响身体及心理健康, 目前日常烦心事对健康的作用机制存在两大模型: 一般模型和特定模型, 一般模型强调压力反应的一般性, 而特定模型则强调不同的压力源会引发不同的身心反应。未来研究在探讨日常烦心事的机制、结构和测量工具编制的同时, 还应特别重视日常烦心事的预防和疏解。     

反馈延迟与掩蔽类型对知觉类别学习的影响

通过两个实验探讨反馈延迟与掩蔽类型对知觉类别学习的影响。实验1光栅掩蔽条件下,采用2（类别结构：基于规则vs.信息整合）×2（延迟反馈：500vs.3000ms）被试间实验设计,实验2采用同样的实验设计,保持延迟反馈时间不变,但改掩蔽类型为黑屏掩蔽。结果发现：（1）光栅掩蔽条件下,反馈延迟削弱信息整合类别结构的成绩,不影响基于规则类别学习,内隐外显类别结构之间存在分离效应。（2）黑屏掩蔽条件下,信息整合与基于规则类别结构的成绩均不受到延迟反馈的影响,分离效应消失。实验说明“无关因素”掩蔽影响知觉类别学习,知觉噪音与标准噪音在反馈延迟影响知觉类别学习中起到重要作用,COVIS模型理论关于延迟反馈时间影响知觉类别学习的解释具有局限性。     

Nature and facts about natural and artifactual categories: Sex differences in the semantic priming paradigm

There is abundant evidence from behavioral and neurophysiological experiments for the distinction of natural versus artifactual categories and a gender-specific difference: women’s performances in cognitive tasks increase when natural categories are used, whereas men’s performances increase with artifactual categories. Here, we used the semantic priming paradigm to study retrieval processes by presenting category labels as primes and exemplars as targets. Overall, in two experiments we found larger priming effects for natural than for artifactual categories. In addition, females showed positive priming effects for natural but negative effects for artifactual categories, whereas males showed positive priming effects for both categories. This pattern matches with that from other tasks and can be interpreted as evidence that the findings from these other tasks are, at least partially, indeed due to different representations or processing modes for males and females and not (exclusively) due to—for example—different familiarity with a category. In a further experiment, we showed that the found pattern for females can be manipulated by focusing on perceptual vs. functional features. The results can be interpreted as first evidence that there are (eventually in addition to different “crystallized” semantic structures) specific default processing modes that differ for males and females.     

Is ZF a hack?: Comparing the complexity of some (formalist interpretations of) foundational systems for mathematics

This paper presents Automath encodings (which are also valid in LF/λP) of various kinds of foundations of mathematics. Then it compares these encodings according to their size, to find out which foundation is the simplest.

The systems analyzed in this way are two kinds of set theory (ZFC and NF), two systems based on Church's higher order logic (Isabelle/Pure and HOL), three kinds of type theory (the calculus of constructions, Luo's extended calculus of constructions, and Martin-Löf's predicative type theory) and one foundation based on category theory.

The conclusions of this paper are that the simplest system is type theory (the calculus of constructions), but that type theories that know about serious mathematics are not simple at all. In that case the set theories are the simplest. If one looks at the number of concepts needed to explain such a system, then higher order logic is the simplest, with twenty-five concepts. On the other side of the scale, category theory is relatively complex, as is Martin-Löf's type theory.

(The full Automath sources of the contexts described in this paper are one the web at http://www.cs.ru.nl/~freek/zfc-etc/.)