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信息的外部表征方式对贝叶斯推理成绩的影响 被引量:8

The Effect of Informational External Representation on Bayesian Reasoning
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摘要 基于分布式认知观点,考察信息的外部表征方式对人们解决贝叶斯推理问题的影响。实验采用2(样例数:50、100)×2(呈现方式:频率信息集中呈现、样例信息逐个呈现)组间设计,并设置了概率信息呈现对照组。被试为159名大学生,均解决3个贝叶斯推理问题。结果表明,频率信息集中呈现组成绩最好,样例信息逐个呈现组成绩次之,概率信息呈现组成绩最差;样例数效应不显著;在样例信息逐个呈现条件下出现了明显的练习效应。 The effect of informational external representation on Bayesian reasoning was studied from the perspective of distributed cognition.A 2(Exemplar number:50.100)×2(Representation manner:frequency format.exemplar format)between-subjects design was used, and probability format was set as control condition.The results showed that:a) The performance of frequency format was the best among the three different external representation manners.b) exemplar number did not have any main effect.and c)There was significant practice effect in the exemplar format condition.
出处 《人类工效学》 2004年第3期3-6,共4页 Chinese Journal of Ergonomics
基金 国家自然科学基金资助项目(30270466) 中国科技部973项目(2002CB312103) 中国科学院心理研究所创新重点项目(0302037)
关键词 外部表征方式 信息 贝叶斯推理 成绩 分布式认知 频率信息集中呈现 样例信息逐个呈现 概率信息呈现 Bayesian reasoning distributed cognition frequency format exemplar format probability format
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