PCE simulation toolkit: a platform for perceptual crossing experiment research

Area of Science:

• Cognitive Science
• Artificial Intelligence
• Human-Computer Interaction

Background:

• The Perceptual Crossing Experiment (PCE) investigates real-time human perception, interaction, and understanding.
• Computational models have explored virtual agents for PCE, but limited implementations hinder reproducibility.
• Numerous variables in PCE simulations make replicating results challenging.

Purpose of the Study:

• To introduce the PCE Simulation Toolkit, an open-source software for PCE research.
• To enhance the reproducibility of Perceptual Crossing Experiment simulations.
• To facilitate the exploration of diverse agent behaviors in PCE.

Main Methods:

• Development and open-source release of the PCE Simulation Toolkit on GitHub.
• Utilizing computational modeling to simulate virtual agents performing the PCE task.
• Presenting case studies of evolved agents to demonstrate parameter effects.

Main Results:

• The PCE Simulation Toolkit provides a standardized framework for PCE research.
• The toolkit enables reproducible simulations of virtual agents in the PCE paradigm.
• Case studies illustrate the impact of parameter choices on simulation outcomes.

Conclusions:

• The PCE Simulation Toolkit is a valuable resource for advancing research in real-time human interaction.
• Open-source availability promotes collaboration and reproducibility in the field.
• Further research can leverage the toolkit to explore a wider range of agent behaviors and simulation parameters.