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[汽车到达时间估计中的序列依赖性]

[Serial dependence in the estimation of a car's arrival time].

作者信息

Ruiz Gallego-Largo Trinidad, Conchillo Jiménez Angela, Recarte Goldaracena Miguel Angel, Hernández Lloreda Maria José

机构信息

Faculty of Psychology, Universidad Complutense de Madrid, 28223 Madrid, Spain.

出版信息

Psicothema. 2006 Nov;18(4):738-42.

PMID:17296111
Abstract

Serial dependence of a car's arrival time. We have studied the sequential structure of data in the arrival- time estimations. Forty participants estimated the arrival-time of a vehicle under two experimental conditions: real car and video-image. Various time series regression models were fit to our data, and residuals autocorrelations were computed. For each serial-dependence model, data were fit to three functions, namely, power, logarithmic, and linear. In both experimental conditions, the response magnitude (R) on a given trial in t was a function of the stimulus intensity (S) in such a trial (t) and of the S and R on t-1 and t-2. Assimilation effect to the previous responses and contrast effect to the previous stimuli has been found.

摘要

汽车到达时间的序列依赖性。我们研究了到达时间估计中数据的序列结构。40名参与者在两种实验条件下估计车辆的到达时间:真实汽车和视频图像。将各种时间序列回归模型拟合到我们的数据上,并计算残差自相关。对于每个序列依赖性模型,数据被拟合到三个函数,即幂函数、对数函数和线性函数。在两种实验条件下,在试验t中给定试验的反应幅度(R)是该试验(t)中的刺激强度(S)以及试验t - 1和t - 2中的S和R的函数。发现了对先前反应的同化效应和对先前刺激的对比效应。

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