Melete: Play testing and 3D environments for Mixed Initiative Artificial Intelligence as a method for prototyping video game levels

Murturi, Sokol ORCID: https://orcid.org/0000-0001-9466-8981, Walton-Rivers, Joseph ORCID: https://orcid.org/0000-0002-3406-0584 and Scott, Michael ORCID: https://orcid.org/0000-0002-6803-1490 (2025) Melete: Play testing and 3D environments for Mixed Initiative Artificial Intelligence as a method for prototyping video game levels. In: Proceedings of the Fourth International Conference on Hybrid Human-Artificial Intelligence. Frontiers in Artificial Intelligence and Applications, 387unsure . IOS Press, Online. ISBN not yet known (In Press)

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Abstract / Summary

Recent advancements in artificial intelligence and human-computer interaction have led to tools that help human
authors collaborate creatively with computing systems. Many such tools are available for 2D video games, but
exploration of these techniques in a 3D environment is necessary. This paper introduces Melete, a mixed-initiative
artificial intelligence tool which uses the Wave Function Collapse algorithm and a human-in-the-loop design
process to create and test 3D levels and environments for video games. Analysis by a panel of expert game
developers in two design challenges—a battle royale game and a real-time strategy game—indicate that Melete
enhances designer engagement and facilitates iterative design. However, it also draws attention to the importance
of play testing in the design loop, kernel generation and the usability of such tools. The findings suggest that
Melete’s workflow helped designers to seed ideas, explore concepts, and refine implementations quickly with
creative agency, but also suggest that further work is needed to integrate Mixed-Initiative Artificial Intelligence
techniques into design tools effectively.

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