The timing database: An open-access, live repository for interval timing studies

被引:0
|
作者
Turaç Aydoğan
Hakan Karşılar
Yalçın Akın Duyan
Başak Akdoğan
Alessia Baccarani
Renaud Brochard
Benjamin De Corte
Jonathon D. Crystal
Bilgehan Çavdaroğlu
Charles Randy Gallistel
Simon Grondin
Ezgi Gür
Quentin Hallez
Joost de Jong
Leendert van Maanen
Matthew Matell
Nandakumar S. Narayanan
Ezgi Özoğlu
Tutku Öztel
Argiro Vatakis
David Freestone
Fuat Balcı
机构
[1] University of Manitoba,Department of Biological Sciences
[2] Özyeğin University,Department of Psychology
[3] MEF University,Department of Psychology
[4] Columbia University,Department of Psychology
[5] Université Bourgogne Franche-Comté,Département de Psychologie
[6] Indiana University,Psychological and Brain Sciences
[7] University of Toronto – Scarborough,Department of Psychology
[8] Rutgers University,Center for Cognitive Science
[9] Université Laval,École de psychologie
[10] Université Lumière Lyon 2,Institut de Psychologie
[11] University of Groningen,Department of Experimental Psychology
[12] Utrecht University,Department of Experimental Psychology
[13] Villanova University,Department of Psychological and Brain Sciences
[14] University of Iowa,Department of Psychology
[15] Neuroscience,Department of Psychology
[16] University of Freiburg,Department of Psychology
[17] Koç University,undefined
[18] Panteion University of Social and Political Sciences,undefined
[19] Equip Health,undefined
[20] Inc.,undefined
来源
Behavior Research Methods | 2024年 / 56卷
关键词
Big data; Experimental psychology; Interval timing; Time perception; Secondary analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Interval timing refers to the ability to perceive and remember intervals in the seconds to minutes range. Our contemporary understanding of interval timing is derived from relatively small-scale, isolated studies that investigate a limited range of intervals with a small sample size, usually based on a single task. Consequently, the conclusions drawn from individual studies are not readily generalizable to other tasks, conditions, and task parameters. The current paper presents a live database that presents raw data from interval timing studies (currently composed of 68 datasets from eight different tasks incorporating various interval and temporal order judgments) with an online graphical user interface to easily select, compile, and download the data organized in a standard format. The Timing Database aims to promote and cultivate key and novel analyses of our timing ability by making published and future datasets accessible as open-source resources for the entire research community. In the current paper, we showcase the use of the database by testing various core ideas based on data compiled across studies (i.e., temporal accuracy, scalar property, location of the point of subjective equality, malleability of timing precision). The Timing Database will serve as the repository for interval timing studies through the submission of new datasets.
引用
收藏
页码:290 / 300
页数:10
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