Hannah Samuel D, Brooks Lee R
Department of Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, ON, Canada.
J Exp Psychol Learn Mem Cogn. 2006 Nov;32(6):1416-23. doi: 10.1037/0278-7393.32.6.1416.
In this article, the authors demonstrate a laboratory analogue of medical diagnostic biasing (V. R. LeBlanc, G. R. Norman, & L. R. Brooks, 2001) in 2 experiments and explore the basis of this effect. Before categorizing novel exemplars, participants first evaluated the likelihood that the item was a member of the category suggested on that trial: either the correct category or a plausible alternative category. This was sufficient to produce a substantial bias toward the suggested category despite the use of unambiguous stimuli, explicit rules, and unhurried conditions--each of which would be likely to limit diagnostic bias. The authors argue that the production of this effect requires distinguishing between particular feature instantiations and more abstract representations of those features as well as allowing people to adopt a particular decision strategy mediating the use of instantiated features: a feature-recognition heuristic.
在本文中,作者通过两项实验展示了医学诊断偏差的实验室模拟(V. R. 勒布朗、G. R. 诺曼和L. R. 布鲁克斯,2001),并探究了这种效应的基础。在对新的范例进行分类之前,参与者首先评估该项目属于该试验中所建议类别的可能性:要么是正确类别,要么是一个合理的替代类别。尽管使用了明确的刺激、明确的规则和从容的条件——每一项都可能限制诊断偏差,但这足以对所建议的类别产生实质性偏差。作者认为,这种效应的产生需要区分特定特征实例和这些特征的更抽象表示,同时允许人们采用一种特定的决策策略来介导实例化特征的使用:一种特征识别启发法。