Conducting real-time interactive experiments online: A guide for researchers

The COVID-19 pandemic has accelerated the shift towards online behavioral experiments and the increased adoption of crowdsourcing platforms for participant recruitment. While conducting online studies has become more common, carrying out real-time interactive experiments online presents unique challenges. We provide an overview of existing tools for conducting interactive online experiments and discuss key considerations for setting up and running interactive online studies. We make special mention of the setup combination of studies programmed in oTree and carried out with Prolific samples, which has become popular in experimental and behavioral economics and finance research. Using a case study of a large multi-round experiment involving synchronous decision-making among groups of participants recruited via Prolific, we examine critical factors such as sample availability, participant arrival speed, traffic management, as well as dropout risks and mitigation approaches. We discuss strategies researchers can adopt and suggest areas for further investigation.

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Publication Details

Journal
Journal of Behavioral and Experimental Finance
Published
2025-10-25
DOI
https://doi.org/10.1016/j.jbef.2025.101118
Primary Topic
Online Learning and Analytics
Type
article
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article

Conducting real-time interactive experiments online: A guide for researchers

Sebastian Bachler, Sarah Lynn Flecke
Journal of Behavioral and Experimental Finance
Online Learning and Analytics
article

Conducting real-time interactive experiments online: A guide for researchers

Sebastian Bachler, Sarah Lynn Flecke
article en

Abstract

The COVID-19 pandemic has accelerated the shift towards online behavioral experiments and the increased adoption of crowdsourcing platforms for participant recruitment. While conducting online studies has become more common, carrying out real-time interactive experiments online presents unique challenges. We provide an overview of existing tools for conducting interactive online experiments and discuss key considerations for setting up and running interactive online studies. We make special mention of the setup combination of studies programmed in oTree and carried out with Prolific samples, which has become popular in experimental and behavioral economics and finance research. Using a case study of a large multi-round experiment involving synchronous decision-making among groups of participants recruited via Prolific, we examine critical factors such as sample availability, participant arrival speed, traffic management, as well as dropout risks and mitigation approaches. We discuss strategies researchers can adopt and suggest areas for further investigation.

Journal of Behavioral and Experimental FinanceVol. 48
Universität Innsbruck (AT), The London College (GB), University College London (GB)
Openalex Percentile: Top 66%
Online Learning and Analytics
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