 Real-time interactions in oTree using Django Channels: Auctions and real effort tasksPhilipp Chapkovski and Essi Kujansuu Journal of Behavioral and Experimental Finance, 2019, vol. 23, issue C, 114-123 Abstract: oTree, a popular platform for conducting behavioral experiments, exchanges data only as a participant exits or enters a web page. In many situations, however, information needs to be gathered and delivered instantaneously. This paper demonstrates a way to add real-time interactions to oTree and presents two ready-made apps: a double auction and a gift exchange with a real effort task. Many auction designs, including the double auction, use time constraints and carry out sales as soon as an ask and a bid are compatible. Instantaneous flow of information is thus a core requirement for programming these auctions in the first place. The real effort task measuring the number of correct answers within a time limit, on the other hand, benefits from the extra flexibility and security that Django Channels provides. Furthermore, real effort tasks are a simple starting point for building real-time interaction apps with oTree. Keywords: Double auction; Gift exchange game; oTree; Real-time interactions; Real effort task (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:23:y:2019:i:c:p:114-123 DOI: 10.1016/j.jbef.2019.05.008 Access Statistics for this article Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber More articles in Journal of Behavioral and Experimental Finance from Elsevier |
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