ePsychology.online - a free open access architecture for online experimental psychology

Angelo Basteris, Prashant Dodia, W. Paul Boyce, Kongfatt Wong-Lin

Research output: Contribution to journalMeeting Abstractpeer-review

4 Citations (Scopus)
657 Downloads (Pure)


Online behavioral research boom has been even further boosted by the Covid-19 pandemic - due to limitations in access to work places and thus labs as well. A number of platforms (e.g. Gorilla, Lab.js, PsychoJS,jsPsych) allowed the reproduction of literature findings in a remote, unsupervised setup. In this work, we introduce ePsychology.online, a free accessible open-source framework for the development of online experimental studies which combines p5.js, a library for making coding accessible to everyone (while providing high-end visual and audio capabilities) with a gaze tracking library (Webgazer). We tested this approach in two proof-of-concept studies aiming at replicating findings: a random dot kinetogram (RDK) discrimination task and in a visual-probe task to measure attentional bias (AB) with respect to alcohol-related stimuli. Results from the RDK show a relation between coherence of the stimuli and reaction time in line with those found from previous, lab-based supervised studies. The AB task allows a quantitative measurement of AB, potentially leading towards an easy to access assessment of need or outcome for rehabilitation of alcohol related disorders. Since AI modules are already integrated within p5.js, the proposed architecture can be easily expanded by state-of-the-art platforms (i.e. TensorFlow). ePsychology.online will support the implementation of more studies by other contributors by facilitating behavioral researchers to develop their own original experiments with a simple and accessible programming framework.
Original languageEnglish
Pages (from-to)140
Number of pages1
Issue number1_SUPPL
Publication statusPublished (in print/issue) - 1 Dec 2021


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