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心理旋转中的不同表现形式和策略。

Different representations and strategies in mental rotation.

作者信息

Zhao Binglei, Sala Sergio Della

机构信息

Human Cognitive Neuroscience, Psychology, University of Edinburgh, Edinburgh, UK.

出版信息

Q J Exp Psychol (Hove). 2018 Jul;71(7):1574-1583. doi: 10.1080/17470218.2017.1342670. Epub 2018 Jan 1.

Abstract

It is still debated whether holistic or piecemeal transformation is applied to carry out mental rotation (MR) as an aspect of visual imagery. It has been recently argued that various mental representations could be flexibly generated to perform MR tasks. To test the hypothesis that imagery ability and types of stimuli interact to affect the format of representation and the choice of strategy in performing MR task, participants, grouped as good or poor imagers, were assessed using four MR tasks, comprising two sets of 'Standard' cube figures and two sets of 'non-Standard' ones, designed by withdrawing cubes from the Standard ones. Both good and poor imagers performed similarly under the two Standard conditions. Under non-Standard conditions, good imagers performed much faster in non-Standard objects than Standard ones, whereas poor imagers performed much slower in non-Standard objects than Standard ones. These results suggested that (1) individuals did not differ in processing the integrated Standard object, whereas (2) in processing the non-Standard objects, various visual representations and strategies could be applied in MR by diverse individuals: Good imagers were more flexible in generating different visual representations, whereas poor imagers applied different strategies under different task demands.

摘要

作为视觉表象的一个方面,在执行心理旋转(MR)时是采用整体转换还是逐个部分转换仍存在争议。最近有人认为,可以灵活地生成各种心理表征来执行MR任务。为了检验表象能力和刺激类型相互作用会影响表征形式和执行MR任务时策略选择的假设,将参与者分为表象能力强和表象能力弱两组,使用四项MR任务进行评估,其中包括两组“标准”立方体图形和两组“非标准”立方体图形,后者是通过从标准图形中移除立方体设计而成。在两种标准条件下,表象能力强和表象能力弱的参与者表现相似。在非标准条件下,表象能力强的参与者处理非标准物体比处理标准物体快得多,而表象能力弱的参与者处理非标准物体比处理标准物体慢得多。这些结果表明:(1)个体在处理完整的标准物体时没有差异,而(2)在处理非标准物体时,不同个体在MR中可以应用各种视觉表征和策略:表象能力强的参与者在生成不同视觉表征方面更灵活,而表象能力弱的参与者在不同任务要求下应用不同策略。

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