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知觉的独立短期和长期依赖。

Independent short- and long-term dependencies in perception.

机构信息

Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Haartmaninkatu 3, 00014 University of Helsinki, Helsinki, Finland.

出版信息

J Vis. 2023 May 2;23(5):12-1. doi: 10.1167/jov.23.5.12.

Abstract

Perception is biased by stimulus history. Both long-term effects such as the central-tendency bias (CTB) and short-term effects such as serial dependence (SD) have been described, but research into the two has remained largely separate. The sources of these effects, however, are highly correlated in stimulus statistics, which can result in a misinterpretation of experimental data. We compared CTB and SD in the perception of color and line length. Observers judged the relative hue or length of consecutive stimuli in a delayed-matching task. Two interstimulus intervals were used to investigate whether elapsed time or the number of stimulus occurrences was more important for SD. We estimated biases by fitting psychometric functions to the data split based on the history features, and we also fit generalized linear mixed models with either CTB, SD, or both included as regressors. We found biases to both recent stimulus history and the cumulative average of stimulus values for both color and line length judgments. The strength and pattern of each of the biases depended on whether all sources of bias were included in the analysis. Within the range of interstimulus intervals tested, the number of intervening stimuli was more important than elapsed time for SD. We conclude that both SD and CTB independently affect perceptual judgments, and that one effect is not an artifact caused by the other. Failing to consider both effects in data analysis can give an erroneous picture of the phenomenon under study.

摘要

感知受到刺激历史的影响。长期效应(如中心趋势偏差(CTB))和短期效应(如序列依赖(SD))都已经被描述过,但对这两者的研究仍然是分开的。然而,这些效应的来源在刺激统计中高度相关,这可能导致对实验数据的误解。我们比较了颜色和线长感知中的 CTB 和 SD。观察者在延迟匹配任务中判断连续刺激的相对色调或长度。使用了两个刺激间间隔来研究时间流逝或刺激出现的次数对于 SD 哪个更重要。我们通过将数据基于历史特征进行分割,拟合心理测量函数来估计偏差,并且我们还拟合了广义线性混合模型,其中包含 CTB、SD 或两者作为回归量。我们发现,对于颜色和线长判断,无论是最近的刺激历史还是刺激值的累积平均值都存在偏差。每种偏差的强度和模式都取决于分析中是否包含所有的偏差源。在测试的刺激间间隔范围内,对于 SD 来说,中间的刺激数量比时间流逝更重要。我们得出结论,SD 和 CTB 独立地影响感知判断,而且一个效应不是另一个效应的假象。在数据分析中不考虑这两种效应会导致对所研究现象的错误描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6de3/10187794/724d6971e444/jovi-23-5-12-f001.jpg

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