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Enabled by artificial intelligence techniques, we are witnessing the rise of a new paradigm of computational creativity support: mixed-initiative creative interfaces put human and computer in a tight interactive loop where each suggests, produces, evaluates, modifies, and selects creative outputs in response to the other. This paradigm could broaden and amplify creative capacity for all, but has so far remained mostly confined to artificial intelligence for game content generation, and faces many unsolved interaction design challenges. This workshop therefore convenes CHI and game researchers to advance mixed-initiative approaches to creativity support.

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Although other genres have used procedural level generation to extend gameplay and replayability, platformer games have not yet seen successful level generation. This paper proposes a new four-layer hierarchy to represent platform game levels, with a focus on representing repetition, rhythm, and connectivity. It also proposes a way to use this model to procedurally generate new levels.

No abstract