  Game development is a complex task involving multiple disciplines and
technologies. Developers and researchers alike have suggested that AI-driven
game design assistants may improve developer workflow. We present a recommender
system for assisting humans in game design as well as a rigorous human subjects
study to validate it. The AI-driven game design assistance system suggests game
mechanics to designers based on characteristics of the game being developed. We
believe this method can bring creative insights and increase users'
productivity. We conducted quantitative studies that showed the recommender
system increases users' levels of accuracy and computational affect, and
decreases their levels of workload.
