08:30 - 10:00
Talk Session IV
+
08:30 - 10:00
Tue-HS1-Talk IV-
Tue-Talk IV-
Room: HS1
Chair/s:
Stephan Frederic Dahm
Implementing multi-session learning studies out of the lab: tips and tricks using OpenSesame
Tue-HS1-Talk IV-02
Presented by: Stephan Dahm
Stephan Dahm 1, Eduard Ort 2, Christian Büsel 1, Pierre Sachse 1, Sebastiaan Mathot 3
1 Universität Innsbruck, 2 Heinrich Heine University Düsseldorf, 3 University of Groningen
OpenSesame is a user-friendly experimental tool that is open source and runs on Windows, MacOS, and Linux. Here, we provide tips and tricks for running multisession experiments out of the lab using OpenSesame. We focus on learning experiments that involve the measurement of reaction times and complex quasi-randomized orders of stimuli controlling item transitions. Learning experiments pose specific challenges: how to access individual identifying numbers; how to access session numbers; and how to counterbalance conditions across participants. This article includes helpful codes and provides hands-on information for implementation that will be useful also outside of the presented use case. The aim of this article is to facilitate the creation of multisession learning experiments even with little technical expertise. We conclude that out-of-the-lab experiments are a valid alternative to traditional lab testing.
Keywords: OpenSesame, repeated testing, cognitive load, serial reaction time task