Welcome to the LIONESS Lab documentation!¶
You can also download this documentation as a PDF. Please note that we update the documentation from time to time so that you may check for a new version of the documentation in a while.
LIONESS Lab is a free web-based platform for online interactive experiments. LIONESS experiments include standardized methods to deal with group formation, handling participant dropout and other challenges of online interactive experiments.
Once your LIONESS experiment is ready, you can download it and run it on your own server. Participants can then invited to online sessions, e.g. by using Amazon Mechanical Turk (MTurk). At the end of a session, you can download a spreadsheet with the data, as well as a file to automate bonus payments on MTurk. Using LIONESS Lab you can choose to share LIONESS experiments with your co-authors and other experimenters.
LIONESS experiments regulate the information flow between participants. Before a session, the experimenter uploads the LIONESS experiment to the server. In a typical online experiment participants log in to the server via a link posted on a crowd-sourcing website (e.g. Amazon Mechanical Turk or Prolific). Participants interact through their web browsers and receive a code to collect their payment upon completion. Throughout the session, the control panel displays the participants’ progress in the experiment.
LIONESS experiments provide a set of standarized methods for group formation, attrition and other challenges of interactive online experiments. This is extensively discussed in a paper by Arechar et al.
- Get started
- Get access to LIONESS Lab
- Run a demo experiment
- Quick tutorial: develop your first experiment
- Compile and test
- Compile your LIONESS experiment
- Control panel
- Experiment tables
- Debugging program code
- LIONESS experiment
- Set up your own experimental server
- Run your experiment
- Share with others
- Notes on experimental design
- Reference manual
- Stage type
- Further details
- Go back to the LIONESS website