Towards Interactive Evolutionary Camouflage Design
Rasmus Ploug, Emil Rimer, Anthon Kristian Skov Petersen, Marco Scirea, Joseph Alexander Brown · 2024
This project presents an evolutionary algorithm for texture generation that allows users to choose and manipulate camouflage patterns. The initial results of a pilot study provide some insight into usability and the users’ ability to replicate a target pattern. The result is an evaluation of gathered data showing user tendencies and how they engage with the system. These tendencies include significantly different completion times for target patterns varying in complexity. Additionally, participants mostly agreed that the tool is helpful for future games and objects other than camouflage skins. The findings suggest potential applications for artificial intelligence in enhancing user customization and design flexibility. Further research must address technical limitations and explore broader game industry implications.