A Jarvstad

A Parducci

AR Albrecht

B Bauer

B Efron

C Spearman

CH Baker

Claudette Fortin

EA Piazza

GA Alvarez

GDA Brown

H Eisler

H Helson

H Rijn van

Hye Joo Han

J Gibbon

J Haberman

J Miller

J Spencer

JH Wearden

JR Anderson

JT Townsend

L Goodman

L Parkes

MJ Morgan

ML Spetch

Motonori Yamaguchi

N Taatgen

NA Taatgen

RA Malmi

RD Luce

Richard Schweickert

RS Moyer

SC Chong

SS Stevens

WE Hockley

WH Meck

WJ Matthews

WL Hays

We examined whether estimating average duration was influenced by the distribution peak location. We presented participants with samples of various tone durations and then presented comparison tone durations. Participants judged whether each comparison duration was longer than the average sample duration. Estimates of the averages were inferred from the psychophysical functions. The durations were sampled from three distributions: one positively skewed, one symmetric, and one negatively skewed. In Experiment 1, every participant was presented with every distribution. Estimates of the averages were unbiased for the symmetric distribution but were biased toward the long tail of each skewed distribution. This would occur if participants combined the sample to be judged with the previous, irrelevant samples, or with the comparison durations. In Experiment 2, each participant was presented with samples from only one of the distributions. Estimates of the averages were still biased toward the long tails of the skewed distributions. This would occur if participants combined the sample to be judged with the comparison durations, which were the same for the three distributions. In Experiment 3, each participant was presented with only one distribution, and each distribution was tested with its own comparison durations, selected as percentiles from the distribution. The estimates were accurate for the smallest population mean (positively skewed distribution) but underestimated the larger means. These results could be explained by subjective shortening of the durations in memory, with a simple equation from scalar timing theory. This equation correctly predicted two results: The estimated averages were a linear function of the stimulus means, and the variances were a linear function of the squared stimulus means. Neither prediction was dependent on the skewness of the stimulus durations

Schweickert, Richard

Han, Hye Joo

Yamaguchi, Motonori

Fortin, Claudette

Edge Hill University Research Information Repository

Estimating averages from distributions of tone durations

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Attention Perception & Psychophysics

https://research.edgehill.ac.uk/ws/files/20172140/SchweickertHanYamaguchiFortin_2014.pdf

Estimating averages from distributions of tone durations

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Edge Hill University Research Information Repository

Crossref