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信息处理对整体感知的替代:在分类范式内识别二级整体论的机制。

Information-processing alternatives to holistic perception: identifying the mechanisms of secondary-level holism within a categorization paradigm.

机构信息

Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Lentzeallee 94, Berlin, Germany.

出版信息

J Exp Psychol Learn Mem Cogn. 2010 Sep;36(5):1290-313. doi: 10.1037/a0020123.

Abstract

Failure to selectively attend to a facial feature, in the part-to-whole paradigm, has been taken as evidence of holistic perception in a large body of face perception literature. In this article, we demonstrate that although failure of selective attention is a necessary property of holistic perception, its presence alone is not sufficient to conclude holistic processing has occurred. One must also consider the cognitive properties that are a natural part of information-processing systems, namely, mental architecture (serial, parallel), a stopping rule (self-terminating, exhaustive), and process dependency. We demonstrate that an analytic model (nonholistic) based on a parallel mental architecture and a self-terminating stopping rule can predict failure of selective attention. The new insights in our approach are based on the systems factorial technology, which provides a rigorous means of identifying the holistic-analytic distinction. Our main goal in the study was to compare potential changes in architecture when 2 second-order relational facial features are manipulated across different face contexts. Supported by simulation data, we suggest that the critical concept for modeling holistic perception is the interactive dependency between features. We argue that without conducting tests for architecture, stopping rule, and dependency, apparent holism could be confounded with analytic perception. This research adds to the list of converging operations for distinguishing between analytic forms and holistic forms of face perception.

摘要

未能在部分到整体范式中选择性地关注面部特征,已被视为大量面部知觉文献中整体知觉的证据。在本文中,我们证明,尽管选择性注意的失败是整体知觉的必要特征,但仅凭其存在不足以得出整体处理已经发生的结论。还必须考虑到信息处理系统的认知特性,即心理结构(串行、并行)、停止规则(自终止、详尽无遗)和过程依赖性。我们证明,基于并行心理结构和自终止停止规则的分析模型(非整体)可以预测选择性注意的失败。我们方法中的新见解基于系统因子技术,该技术为识别整体分析区分提供了严格的手段。我们研究的主要目标是比较在不同面部环境下操纵两个二阶关系面部特征时结构的潜在变化。在模拟数据的支持下,我们认为,用于建模整体知觉的关键概念是特征之间的交互依赖性。我们认为,如果不进行结构、停止规则和依赖性的测试,明显的整体主义可能会与分析感知相混淆。这项研究增加了区分分析形式和整体形式的面部知觉的趋同操作列表。

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