解释不同决策领域的人类采样率

IF 1.9 3区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY Judgment and Decision Making Pub Date : 2022-05-01 DOI:10.1017/s1930297500003557
Didrika S. van de Wouw, Ryan T. McKay, B. Averbeck, N. Furl
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引用次数: 0

摘要

欠采样偏差在最优停止文献中很常见,尤其是在经济完全选择问题中。在这些基于数字的研究中,产生选项的值的分布矩(即生成分布)似乎会影响参与者的采样率。然而,最近的一项研究报告称,在另一种最佳停止任务上存在过采样偏差:参与者从人脸图像中选择潜在的浪漫伴侣(Furl等人,2019)。作者假设这种过度采样的偏差可能是择偶特有的。我们预先记录了这一假设,因此,在这里,我们测试了不同基于图像的决策领域的采样率是否a)反映了不同的过采样或欠采样偏差,或者b)取决于生成分布的时刻(如基于经济数字的任务所示)。在两项研究(N=208和N=96)中,我们发现了反对预先登记假说的证据。参与者在不同领域的过采样程度相同(与贝叶斯理想观测器模型相比),而他们的采样率取决于生成的分布均值和偏度,这与基于数字的范式类似。此外,最优性模型的抽样在一定程度上取决于生成分布的偏斜度,这与参和者的方式类似。我们得出结论,过采样不是由择偶域引起的,并且基于图像的范式(如基于数字的范式)中的采样率取决于生成分布。
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Explaining human sampling rates across different decision domains
Undersampling biases are common in the optimal stopping literature, especially for economic full choice problems. Among these kinds of number-based studies, the moments of the distribution of values that generates the options (i.e., the generating distribution) seem to influence participants’ sampling rate. However, a recent study reported an oversampling bias on a different kind of optimal stopping task: where participants chose potential romantic partners from images of faces (Furl et al., 2019). The authors hypothesised that this oversampling bias might be specific to mate choice. We preregistered this hypothesis and so, here, we test whether sampling rates across different image-based decision-making domains a) reflect different over- or undersampling biases, or b) depend on the moments of the generating distributions (as shown for economic number-based tasks). In two studies (N = 208 and N = 96), we found evidence against the preregistered hypothesis. Participants oversampled to the same degree across domains (compared to a Bayesian ideal observer model), while their sampling rates depended on the generating distribution mean and skewness in a similar way as number-based paradigms. Moreover, optimality model sampling to some extent depended on the the skewness of the generating distribution in a similar way to participants. We conclude that oversampling is not instigated by the mate choice domain and that sampling rate in image-based paradigms, like number-based paradigms, depends on the generating distribution.
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来源期刊
Judgment and Decision Making
Judgment and Decision Making PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
4.40
自引率
8.00%
发文量
0
审稿时长
12 weeks
期刊最新文献
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