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数量估计和跨模态匹配中的刺激信息与序列依赖性

Stimulus information and sequential dependencies in magnitude estimation and cross-modality matching.

作者信息

Ward L M

出版信息

J Exp Psychol Hum Percept Perform. 1979 Aug;5(3):444-9. doi: 10.1037//0096-1523.5.3.444.

DOI:10.1037//0096-1523.5.3.444
PMID:528951
Abstract

Descriptive models of magnitude estimation and cross-modality matching derived from two different approaches to psychophysical judgment, the response ratio hypothesis and the fuzzy judgment approach, are compared. The two approaches emphasize different bodies of facts but both attempt to account for sequential dependencies in psychophysical judgments. Both models suggest a hierarchical multiple linear regression model for such data. Some of the predictions of the models are explored in the context of two experiments in which the amount of stimulus information available to subjects in magnitude estimation and cross-modality matching tasks is varied. The fuzzy judgment approach generally does better in explaining the form of such data.

摘要

比较了从心理物理学判断的两种不同方法——反应比率假说和模糊判断方法得出的大小估计和跨模态匹配的描述模型。这两种方法强调不同的事实,但都试图解释心理物理学判断中的顺序依赖性。两种模型都为此类数据提出了分层多元线性回归模型。在两个实验的背景下探索了模型的一些预测,在这两个实验中,大小估计和跨模态匹配任务中受试者可用的刺激信息量有所不同。模糊判断方法在解释此类数据的形式方面通常表现更好。

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