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PyBOLE – A General Python Based Framework for Behavioral Online Experiments: A Case Study Using the QUEST+ Adaptive Method Cover

PyBOLE – A General Python Based Framework for Behavioral Online Experiments: A Case Study Using the QUEST+ Adaptive Method

Open Access
|May 2026

Figures & Tables

Figure 1

Representation of the main entities and their relationships of the PyBOLE framework.

Figure 2

Interaction of the SessionProgress entity methods for navigation within PyBOLE experiment.

Figure 3

Example analysis for a representative participant based on PyBOLE data. (a) Evolution of the threshold estimate during the adaptive procedure. (b) Shannon entropy across trials, reflecting decreasing parameter uncertainty.

DOI: https://doi.org/10.5334/jors.423 | Journal eISSN: 2049-9647
Language: English
Page range: 36 - 36
Submitted on: Mar 25, 2022
Accepted on: Apr 29, 2026
Published on: May 12, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Vasiliki Myrodia, Jérôme Buisine, Samuel Delepoulle, Laurent Madelain, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.