知识背景效应对分类加工过程影响的眼动研究

在目标匹配范式下,使用表示现实生活中的物体和场景关系的手绘黑白图片材料,通过眼动记录法考察了68名知识背景不同的文理科大学生分类加工过程的差异。结果表明,知识背景对大学生分类加工过程有影响,其主要作用于分类加工的首次加工阶段。文科学生在首次加工中对问题区分配的注意多于选项区,而理科学生对问题区和选项区平均分配注意。文科生相对于理科生能够更早的注意到正确选项,在加工中重视对上位概念概括(问题区目标概念)和下位概念与上位概念间(选项区待分类概念和目标概念)的比较,而理科生更加重视同水平概念间的比较。     

自然物体分类的ERP研究

对事物进行分类的能力是人类的一种基本认知功能。该文主要就近年来自然物体分类的事件相关电位（ERP）研究情况进行综述。首先介绍与自然物体分类有关的ERP早晚期成分;接着讨论了快速视觉分类的加工机制,认为前馈机制在这种复杂分类任务的视觉加工过程中起重要作用;最后详细介绍了两个分离的视觉加工机制,认为自然物体的视觉分类在不同时程涉及不同机制：即首先是任务无关的早期知觉加工过程,其次是任务相关的、类别无关的加工机制,与被试的决策有关。也讨论了这两个分离的加工过程涉及的神经基础。     

权力概念加工对视觉空间注意定向的影响：一个ERP证据

概念表征是认知心理学研究的一个重要领域。具身认知理论认为, 在概念加工过程中, 个体会以具身模拟的形式对概念所暗含的空间方位信息进行理解。本研究采用事件相关电位技术, 考察抽象权力概念加工时的激活特点。实验首先要求被试对出现在屏幕中央的词进行权力高/低判断, 接着在屏幕的上方或者下方呈现一个字母(“m”或“n”), 要求被试对目标物进行按键反应。结果发现, 当权力词隐喻的空间特性与目标物出现的位置一致时诱发了一个更大的N1波幅, 不一致时诱发了一个更大的P3波幅。该结果提示, 抽象权力概念加工时会产生自动激活空间上-下意向图示, 对权力词的加工影响了随后字母位置的判断, 并将空间注意指向了与意向图示相一致的位置, 从时间加工进程看, 起始于早期的知觉识别并一直持续到晚期的高级认知加工阶段, 权力概念加工具有内隐性。     

课堂成就目标定向、任务难度、学业水平与元认知监控策略运用

以217名高中生为被试,采用计算机监控的活动操作法,探讨课堂成就目标定向、任务难度对不同学业水平学生元认知监控策略运用的影响。结果表明：（1）课堂掌握目标定向下均比在课堂成绩目标定向下更多地运用元认知监控策略;（2）高学业学生在较难任务上比较易任务上更多地运用元认知监控策略;低学业学生,在课堂掌握目标定向下．在较难任务上比较易任务上更多地使用元认知监控策略;在课堂成绩目标定向下,与课堂掌握目标定向情形相反;（3）临场动机中的自我效能感、目标方向、努力程度在课堂成就目标定向、任务难度对元认知监控策略的影响中具有中介作用。     

时间焦点对前后方向上内隐时空映射的影响——来自汉族和羌族的证据

采用不同的研究方法考察汉族和羌族被试内隐时空映射的联结方向及其影响因素。实验1利用时间图表任务发现, 汉族被试对“过去在前”和“未来在前”两种内隐时空映射没有表现出明显偏好, 而羌族被试更加倾向于使用“过去在前”的内隐时空映射。由于二者均使用汉语, 但其内隐时空映射却存在差异, 显示出时间语言和时间思维的分离性。实验2利用时间焦点量表考察汉族和羌族被试对过去和未来时间的关注程度。结果发现, 前者对过去和未来的注意力程度相当, 而后者表现出较强的“过去朝向思维”, 说明文化中的时间焦点偏好可以较好地预测二者的内隐时空映射。实验3利用时间概念分类任务发现, 内隐时空映射有利于促进汉族和羌族被试时间概念的表征和加工, 出现了“隐喻一致性效应”。整个研究表明, 汉族和羌族文化中个体对待时间的态度可以决定其内隐时空映射联结方向, 支持“时间焦点假设”。     

线索特征和提示对基于事件前瞻记忆的影响

前瞻记忆是一种记住在将来执行某个意向活动的记忆。研究采取2线索类型×2提示被试间设计探究了线索特征和有无提示对基于事件前瞻记忆的影响。结果表明:(1)提示使前瞻记忆的反应速度明显变慢,说明基于事件前瞻记忆的加工过程可能是自动完成的;(2)在具体线索条件下,被试完成进行中任务的速度显著快于概念线索条件下的速度。说明线索类型虽然没有影响到前瞻记忆加工,但是影响到了进行中任务的效率。     

青少年分类能力发展特点的眼动研究

在目标匹配范式下,使用表示现实生活中的物体和场景关系的手绘黑白图片材料,通过眼动记录法考察了136名中学生和大学生分类加工过程的发展特点。结果表明,青少年分类能力发展存在显著的年级效应。不论是从分类结果还是从分类加工过程中看,青少年分类概括的能力并没有进入了平稳发展的阶段而是随着年级的升高而增长。高中阶段为分类能力发展的过渡阶段。     

认知负荷和控制性注意对工作记忆广度任务成绩的影响

通过stroop干扰实验严格筛选被试,考察了控制性注意能力不同的被试在加工部分认知负荷不同的工作记忆广度任务中的成绩。结果表明：任务复杂性和加工速度对工作记忆广度任务成绩有重要影响,任务越复杂或加工速度越快,被试的工作记忆广度任务成绩越低;在复杂的和加工速度快的工作记忆广度任务中,控制性注意能力高的被试成绩要好于控制性注意能力低的被试,但在简单的和加工速度慢的任务中两者成绩没有显著差异。     

上下意象图式对羌族亲属词认知的影响

采用亲属词判断任务和真假词判断任务, 考查了“上下意象图式”对羌族被试认知隐含辈分关系的羌族亲属词的影响, 并通过空间识别任务检验亲属词辈份概念加工能否自动地激活空间意象图式, 引导空间注意朝向与空间意象图式一致的位置。实验1表明, 在羌族被试对羌族亲属词的认知中, 存在着“隐喻一致性效应”：高辈分的亲属词呈现在计算机屏幕的上方加工得更快, 低辈分的亲属词呈现在计算机屏幕的下方加工得更快。实验2表明, 当目标刺激的空间位置与亲属词的辈分信息一致时, 羌族被试对目标刺激的辨认速度更快。整个研究表明, 羌族亲属词隐含的辈分关系可以用垂直空间关系来理解, 并引导被试的空间注意朝向与上下意象图式一致的位置, 证明对抽象概念的理解基于感觉运动的加工, 符合概念隐喻理论的预言。     

冲动-思考型儿童在拼图游戏中的问题解决及元认知差异

以小学六年级思考型和冲动型儿童各32名为被试,通过考查儿童在完成不同难度拼图任务时的表现,探讨不同认知风格儿童在问题解决中认知活动和元认知活动的差异。结果发现:(1)在线与离线元认知监控均表现出认知风格与任务难度的交互作用。在简单和中等任务中,思考型的儿童运用更多的在线元认知监控,进行计划和检查的时间更长。离线元认知监控的差异只表现在简单任务中,思考型比冲动型儿童花费更多的时间进行预测和评价;(2)在问题解决结果上,认知风格不同的儿童完成任务的时间没有显著差异;(3)在问题解决过程中,冲动型儿童解决问题的操作步数多于思考型儿童;冲动型儿童更多地使用主体参照策略,而思考型儿童更多使用线索推断策略。     

Is better beautiful or is beautiful better? Exploring the relationship between beauty and category structure

We evaluate two competing accounts of the relationship between beauty and category structure. According to the similarity-based view, beauty arises from category structure such that central items are favored due to their increased fluency. In contrast, the theory-based view holds that people’s theories of beauty shape their perceptions of categories. In the present study, subjects learned to categorize abstract paintings into meaningfully labeled categories and rated the paintings’ beauty, value, and typicality. Inconsistent with the similarity-based view, beauty ratings were highly correlated across conditions despite differences in fluency and assigned category structure. Consistent with the theory-based view, beautiful paintings were treated as central members for categories expected to contain beautiful paintings (e.g., art museum pieces), but not in others (e.g., student show pieces). These results suggest that the beauty of complex, real-world stimuli is not determined by fluency within category structure but, instead, interacts with people’s prior knowledge to structure categories.     

特征的呈现方式对类别学习中规则和相似性知识获得的影响

采用原型变异任务,通过操纵规则和相似性特征的呈现通道,探讨特征的呈现方式对类别学习中规则和相似性知识获得的影响。结果发现,在听觉-视觉条件下习得规则的人数显著多于习得相似性的人数,而在视觉-听觉和视觉-视觉条件下则不存在显著差异;并且,三种条件下习得规则的正确率都高于习得相似性的正确率。这说明特征的呈现方式影响对规则和相似性特征的习得,在听觉通道呈现规则时被试更倾向基于规则分类。     

A causal-model theory of conceptual representation and categorization

This article presents a theory of categorization that accounts for the effects of causal knowledge that relates the features of categories. According to causal-model theory, people explicitly represent the probabilistic causal mechanisms that link category features and classify objects by evaluating whether they were likely to have been generated by those mechanisms. In 3 experiments, participants were taught causal knowledge that related the features of a novel category. Causal-model theory provided a good quantitative account of the effect of this knowledge on the importance of both individual features and interfeature correlations to classification. By enabling precise model fits and interpretable parameter estimates, causal-model theory helps place the theory-based approach to conceptual representation on equal footing with the well-known similarity-based approaches.     

基于理论观的类别研究进展

介绍了西方类别研究中基于理论的观点及其研究进展。该理论强调知识背景对所形成的类别表征的影响,主张类别知识的组织是多范畴的,不同的学习任务可以导致基于原型或样例的类别表征,类别知识的运用反过来也会影响原有的类别表征。按时间顺序对理论观的产生、主要观点和经典研究进行了总结。     

The role of similarity in the development of categorization

Early in development, humans exhibit the ability to form categories and overlook differences for the sake of generality. This ability poses several important questions: How does categorization arise? What processes underlie category formation? And how are categories mentally represented? We argue that the development of categorization is grounded in perceptual and attentional mechanisms capable of detecting multiple correspondences or similarities in the environment. We present evidence that: (a) similarity can drive categorization early in development; and (b) early in development, humans have powerful learning mechanisms that enable them to extract regularities in the environment. We conclude that, despite remaining challenges, the similarity-based approach offers a promising account of the development of categorization.     

Concepts and conceptual structure

Research and theory on categorization and conceptual structure have recently undergone two major shifts. The first shift is from the assumption that concepts have defining properties (the classical view) to the idea that concept representations may be based on properties that are only characteristic or typical of category examples (the probabilistic view). Both the probabilistic view and the classical view assume that categorization is driven by similarity relations. A major problem with describing category structure in terms of similarity is that the notion of similarity is too unconstrained to give an account of conceptual coherence. The second major shift is from the idea that concepts are organized by similarity to the idea that concepts are organized around theories. In this article, the evidence and rationale associated with these shifts are described, and one means of integrating similarity-based and theory-driven categorization is outlined.     

Associative and similarity-based processes in categorization decisions

Two experiments were directed at distinguishing associative and similarity-based accounts of systematic differences in categorization time for different items in natural categories. Experiment 1 investigated the correlation of categorization time with three measures of instance centrality in a category. Production frequency (PF), rated typicality, and familiarity from category norms for British participants (Hampton & Gardiner, 1983) were used to predict mean categorization times for 531 words in 12 semantic categories. PF and typicality (but not familiarity) were found to make significant and independent contributions to categorization time. Error rates were related only to typicality (apart from errors made to ambiguous or unknown items). Experiment 2 provided a further dissociation of PF and typicality. Manipulating the difficulty of the task through the relatedness of the false items interacted primarily with the effect of typicality on categorization time, whereas, under conditions of easy discrimination, prior exposure to the category exemplars affected only the contribution of PF to the decision time. The dissociation of typicality and PF measures is interpreted as providing evidence that speeded categorization involves both retrieval of associations indexed by PF and a similarity-based decision process indexed by typicality.     

Sample selection and inductive generalization

In two experiments with adults (N=126), we examined the influence of sampling procedure on inductive generalization. In predicate sampling, participants learned the category identity of individuals known to possess some property. In subject sampling, individuals selected for category identity were discovered to possess a novel property. In both experiments, sampling procedure influenced induction. Predicate sampling resulted in very narrow generalization, whereas subject sampling yielded a fairly high and constant rate of projection. Differences in confidence of generalizations were also observed. Conditions in which evidence was described as randomly sampled from a collection of animals yielded a consistent decrease in projections as predicted by similarity-based models. The results are presented as support for an evidence-based view of induction.     

Strategies of semantic categorization in the cerebral hemispheres

Strategies of semantic categorization in intact cerebral hemispheres were studied in two experiments by presenting names of typical and atypical category instances to the left visual field (LVF) (right hemisphere) or to the right visual field (RVF) (left hemisphere). The results revealed that the typicality of instances had a large effect on categorization times in the LVF in both experiments, suggesting that the right hemisphere relies strongly on a holistic, similarity-based comparison strategy. In Experiment 1, the typicality effect was weaker in the RVF than in the LVF. In Experiment 2, a typicality effect in the RVF was observed for the "four-footed animal" category but not for the "bird" category. The hypothesis that the left hemisphere employs a strategy based on defining or necessary features is not supported by the observed typicality effect in the "four-footed animal" category. Instead, it is suggested that the left hemisphere may be able to categorize on the basis of prestored instance-category knowledge. When such knowledge is not available (e.g., as for four-footed animals), a similarity-based comparison strategy is employed by the left hemisphere.     

What some effects might not be: The time to verify membership in 'well-defined' categories

Armstrong, Gleitman, and Gleitman (1983) reported shorter categorization times for members of well-defined categories judged more typical. They concluded that these effects could not originate in a graded, similarity-based category representation and consequently that the typicality effects obtained with natural categories might not be indicative of such a structure either. In this article, we re-examine this conclusion, focusing first on the performance obtained with well-defined categories of different sizes. Only the larger categories used showed variations in typicality ratings and produced typicality effects on categorization times. However,multiple regression analyses showed the effects on categorization times to be better explained by a measure of associative strength, called category dominance. The range of various predictor variables was equated in a follow-up experiment involving large, natural, and well-defined categories. Results obtained with well-defined categories showed pronounced dominance effects when typicality was controlled, but no reliable typicality effect when category dominance and instance familiarity were controlled. Results were opposite for natural categories. By showing that well-defined categories fail to produce unbiased typicality effects, our results bring added support to the hypothesis that the effects obtained with natural categories originate in a graded, similarity-based category structure.