PTVR - A software in Python to make virtual reality experiments easier to build and more reproducible

Area of Science:

• Vision Science
• Virtual Reality (VR) Behavioral Experiments
• Computational Neuroscience

Background:

• Virtual reality (VR) is increasingly utilized for behavioral experiments, particularly in vision science.
• Programming VR experiments typically requires expertise in game engines, posing a significant barrier for many researchers.
• Existing methods are often time-consuming and complex, limiting broader adoption of VR in research.

Purpose of the Study:

• Introduce the Perception Toolbox for Virtual Reality (PTVR) library.
• Enable the creation of visual perception studies in VR using high-level Python scripting.
• Reduce the technical barriers for researchers conducting VR-based experiments.

Main Methods:

• Developed a Python library (PTVR) built upon an existing open-source library.
• Leveraged high-level Python scripting for experiment design.
• Focused on simplifying the description of experiments through single, readable code.

Main Results:

• PTVR allows visual perception studies to be programmed with simplified Python scripts.
• The library enhances the transparency, reproducibility, and reusability of VR experiments.
• PTVR is built on a well-established open-source foundation with significant development.

Conclusions:

• PTVR dramatically lowers the difficulty of programming VR experiments.
• The library is expected to facilitate a new range of visual perception studies with high ecological validity.
• PTVR promotes more accessible and robust research in virtual reality environments.