Switching to online: Testing the validity of supervised remote testing for online reinforcement learning experiments.

ABSTRACT: Online experiments are an alternative for researchers interested in conducting behavioral research outside the laboratory. However, an online assessment might become a challenge when long and complex experiments need to be conducted in a specific order or with supervision from a researcher. The aim of this study was to test the computational validity and the feasibility of a remote and synchronous reinforcement learning (RL) experiment conducted during the social-distancing measures imposed by the pandemic. An additional feature of this study was to describe how a behavioral experiment originally created to be conducted in-person was transformed into an online supervised remote experiment. Open-source software was used to collect data, conduct statistical analysis, and do computational mod

SUBMITTER: Weydmann G 

PROVIDER: S-EPMC9552715 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature