PsychoJS is an open-source project. You can contribute by submitting pull requests to the PsychoJS GitHub repository, and discuss issues and current and future features on the Online category of the PsychoPy Forum.
Many studies in behavioural sciences (e.g. psychology, neuroscience, linguistics or mental health) use computers to present stimuli and record responses in a precise manner. These studies are still typically conducted on small numbers of people in laboratory environments equipped with dedicated hardware.
With high-speed broadband, improved web technologies and smart devices everywhere, studies can now go online without sacrificing too much temporal precision. This is a "game changer". Data can be collected on larger, more varied, international populations. We can study people in environments they do not find intimidating. Experiments can be run multiple times per day, without data collection becoming impractical.
The idea behind PsychoJS is to make PsychoPy experiments available online, from a web page, so participants can run them on any device equipped with a web browser such as desktops, laptops, or tablets. In some circumstance, they can even use their phone!
ImageStim, with very similar attributes to their Python equivalents. Experiment designers familiar with the PsychoPy library should feel at home with PsychoJS, and can expect the same level of control they have with PsychoPy, from the structure of the trials/loops all the way down to frame-by-frame updates.
A convenient way to make experiment available to participants is to host them on pavlovia.org, an open-science server. PsychoPy Builder offers the possibility of uploading the experiment directly to pavlovia.org.
Which PsychoPy Components are supported by PsychoJS?
For the list of PsychoPy Builder Components supported by PsychoJS see this PsychoPy/JS online status page.
The documentation of the PsychoJS API is available here.
Alain Pitiot - @apitiot
The PsychoJS library was initially written by Ilixa with support from the Wellcome Trust. It is now a collaborative effort, supported by the Chan Zuckerberg Initiative (2020-2021) and Open Science Tools (2020-):
- Alain Pitiot - @apitiot
- Nikita Agafonov - @lightest
- Sotiri Bakagiannis - @thewhodidthis
- Jonathan Peirce - @peircej
- Thomas Pronk - @tpronk
- Hiroyuki Sogo - @hsogo
- Sijia Zhao - @sijiazhao
This project is licensed under the MIT License - see the LICENSE.md file for details.