Literature DB >> 26428910

psiTurk: An open-source framework for conducting replicable behavioral experiments online.

Todd M Gureckis1, Jay Martin2,3, John McDonnell2,4, Alexander S Rich2, Doug Markant5, Anna Coenen2, David Halpern2, Jessica B Hamrick6, Patricia Chan2.   

Abstract

Online data collection has begun to revolutionize the behavioral sciences. However, conducting carefully controlled behavioral experiments online introduces a number of new of technical and scientific challenges. The project described in this paper, psiTurk, is an open-source platform which helps researchers develop experiment designs which can be conducted over the Internet. The tool primarily interfaces with Amazon's Mechanical Turk, a popular crowd-sourcing labor market. This paper describes the basic architecture of the system and introduces new users to the overall goals. psiTurk aims to reduce the technical hurdles for researchers developing online experiments while improving the transparency and collaborative nature of the behavioral sciences.

Keywords:  Amazon Mechanical Turk; Internet experiments; Online experiments; Open science; psiTurk

Mesh:

Year:  2016        PMID: 26428910     DOI: 10.3758/s13428-015-0642-8

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  29 in total

1.  Inflation versus filling-in: why we feel we see more than we actually do in peripheral vision.

Authors:  Brian Odegaard; Min Yu Chang; Hakwan Lau; Sing-Hang Cheung
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-19       Impact factor: 6.237

2.  Scaling up psychology via Scientific Regret Minimization.

Authors:  Mayank Agrawal; Joshua C Peterson; Thomas L Griffiths
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-02       Impact factor: 11.205

3.  The famous melodies stimulus set.

Authors:  Amy M Belfi; Kaelyn Kacirek
Journal:  Behav Res Methods       Date:  2021-02

4.  Flexible top-down control in the interaction between working memory and perception.

Authors:  Chunyue Teng; Jacqueline M Fulvio; Jiefeng Jiang; Bradley R Postle
Journal:  J Vis       Date:  2022-10-04       Impact factor: 2.004

5.  Introducing the Fear Learning and Anxiety Response (FLARe) app and web portal for the remote delivery of fear conditioning experiments.

Authors:  T McGregor; K L Purves; K S Young; T C Eley; T Barry; E Constantinou; M G Craske; G Breen
Journal:  Behav Res Methods       Date:  2022-09-07

6.  People construct simplified mental representations to plan.

Authors:  Mark K Ho; David Abel; Carlos G Correa; Michael L Littman; Jonathan D Cohen; Thomas L Griffiths
Journal:  Nature       Date:  2022-05-19       Impact factor: 69.504

7.  Advancing Developmental Science via Unmoderated Remote Research with Children.

Authors:  Marjorie Rhodes; Michael T Rizzo; Emily Foster-Hanson; Kelsey Moty; Rachel A Leshin; Michelle Wang; Josie Benitez; John Daryl Ocampo
Journal:  J Cogn Dev       Date:  2020-08-13

8.  Tasks determine what is learned in visual statistical learning.

Authors:  Timothy J Vickery; Su Hyoun Park; Jayesh Gupta; Marian E Berryhill
Journal:  Psychon Bull Rev       Date:  2018-10

9.  SweetPea: A standard language for factorial experimental design.

Authors:  Sebastian Musslick; Anastasia Cherkaev; Ben Draut; Ahsan Sajjad Butt; Pierce Darragh; Vivek Srikumar; Matthew Flatt; Jonathan D Cohen
Journal:  Behav Res Methods       Date:  2021-08-06

10.  Spatial specificity of feature-based interaction between working memory and visual processing.

Authors:  Chunyue Teng; Bradley R Postle
Journal:  J Exp Psychol Hum Percept Perform       Date:  2021-01-21       Impact factor: 3.332

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