Cheetah Movement Data Drives Realistic Video Game

A new publicly available video game has been developed that translates real‑world predator‑prey movement data into realistic, high‑intensity simulations. Researchers combined GPS and accelerometer recordings from wild predator‑prey encounters with data collected from controlled human “catch‑tag” games to model the dynamics and energetics of chase and escape. The resulting game reproduces the speed, acceleration, and fatigue patterns observed in natural life‑or‑death encounters, providing an immersive yet scientifically accurate experience.

The game employs a citizen‑science framework, inviting players to record their own movement data while playing. Participants’ inputs are aggregated and fed back into the simulation, refining the models and expanding the dataset. This iterative loop not only enhances the fidelity of the virtual environment but also generates a growing repository of movement patterns that researchers can analyze to better understand decision‑making, energy expenditure, and the thresholds that trigger escape or capture in predator‑prey interactions.

By bridging rigorous field data with interactive gameplay, the project offers a novel tool for both education and research. It demonstrates how public engagement can accelerate scientific discovery while making complex ecological dynamics accessible to a broad audience. The game is now available online, and researchers encourage anyone interested in movement ecology or citizen science to contribute.