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有规律的判断和随机判断并非同一枚硬币的两面:代表性和编码在随机感知中都发挥了作用。

Regular and random judgements are not two sides of the same coin: Both representativeness and encoding play a role in randomness perception.

机构信息

Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA) - Psychology Section, University of Florence, via di San Salvi n. 12, Complesso di S. Salvi, Padiglione 26, 50139, Florence, Italy.

Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI, USA.

出版信息

Psychon Bull Rev. 2021 Oct;28(5):1707-1714. doi: 10.3758/s13423-021-01934-9. Epub 2021 May 6.

DOI:10.3758/s13423-021-01934-9
PMID:33959894
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8500893/
Abstract

The overalternating bias is that people rate sequences with an excess of alternation as more random than prescribed by information theory. There are two main explanations: the representativeness heuristic (Kahneman & Tversky Cognitive Psychology, 3, 430-454, 1972) and the implicit encoding hypothesis (Falk & Konold Psychological Review, 104, 301-318, 1997). These hypotheses are associated with different reaction times predictions. According to the encoding hypothesis, reaction times should increase as the complexity of the sequence increases, whereas the representativeness heuristic predicts fast reaction times only for more complex sequences that appear more random. We asked participants to guess the generating source of pairs of sequences of dichotomous elements in two different conditions: selecting the string generated by a random source or selecting the string generated by a nonrandom source. Results suggest that both the encoding strategy and the representativeness heuristic have a role in randomness perception and that the two criteria may have a different weight when determining the randomness versus the regularity of a string.

摘要

过度交替偏差是指人们认为交替过多的序列比信息论规定的更随机。有两个主要的解释:代表性启发式(Kahneman & Tversky,《认知心理学》,第 3 卷,第 430-454 页,1972)和内隐编码假设(Falk & Konold,《心理评论》,第 104 卷,第 301-318 页,1997)。这些假设与不同的反应时间预测有关。根据编码假设,反应时间应该随着序列复杂性的增加而增加,而代表性启发式则预测只有更复杂的、看起来更随机的序列才会有更快的反应时间。我们要求参与者在两种不同的条件下猜测二元元素序列对的生成源:选择由随机源生成的字符串或选择由非随机源生成的字符串。结果表明,编码策略和代表性启发式在随机性感知中都有作用,并且在确定字符串的随机性与规则性时,这两个标准可能具有不同的权重。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/167483b9a9b0/13423_2021_1934_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/8d7756901c5b/13423_2021_1934_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/ab477d8d2793/13423_2021_1934_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/8876e097a8be/13423_2021_1934_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/167483b9a9b0/13423_2021_1934_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/8d7756901c5b/13423_2021_1934_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/ab477d8d2793/13423_2021_1934_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/8876e097a8be/13423_2021_1934_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f29/8500893/167483b9a9b0/13423_2021_1934_Fig4_HTML.jpg

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