Applying Simplifying Heuristics when Making Judgment under Uncertainty – A Field Study

Tristan Nguyen
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Abstract

This paper studies the so-called Take the Best (TTB) and the other two related heuristics which are Take the last (TTL) and the Minimalist heuristics to collect more evidence on these heuristics and then make comparison on performance of these heuristics’ potential users who have different degree of knowledge. People actually adhere to the recognition heuristics (RH) so often when facing inferential choice between a recognized object and a novel one. It is a main purpose of our empirical field study to look for evidence on what decision makers really do to arrive at their final choice in cases where both objects in the choice task are recognized. Will they still stick to recognition cue, or will they follow TTB or TTL or the Minimalist heuristic or will they resort to other type of strategies? Our results are somehow ambiguous. In sum, the cues the participants really picked up from their minds when taking the task and revealed by themselves in the interviews are more diverse and complicated than the anticipated ones.
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在不确定性条件下应用简化启发式进行判断——一个实地研究
本文对“取最优”(TTB)和与之相关的“取最末”(TTL)和“极简”(minimal)两种启发式进行了研究,收集了更多关于这些启发式的证据,并对这些启发式在不同知识程度的潜在用户中的表现进行了比较。当人们在一个已知的物体和一个新的物体之间进行推理选择时,人们通常会遵循识别启发式(RH)。我们的实证领域研究的主要目的是寻找证据,在选择任务中的两个对象都被识别的情况下,决策者真正做了什么来达到他们的最终选择。他们还是会坚持识别线索,还是会遵循TTB或TTL或极简启发法,还是会求助于其他类型的策略?我们的结果有些模棱两可。总而言之,参与者在接受任务时从自己的头脑中真正获得的线索,以及在面试中自己透露的线索,比预期的线索更加多样化和复杂。
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