Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators

Abstract

Machine learning advances have afforded an increase in algorithms capable of creating art, music, stories, games, and more. However, it is not yet well-understood how machine learning algorithms might best collaborate with people to support creative expression. To investigate how practicing designers perceive the role of AI in the creative process, we developed a game level design tool for Super Mario Bros.-style games with a built-in AI level designer. In this paper we discuss our design of the Morai Maker intelligent tool through two mixed-methods studies with a total of over one-hundred participants. Our findings are as follows: (1) level designers vary in their desired interactions with, and role of, the AI, (2) the AI prompted the level designers to alter their design practices, and (3) the level designers perceived the AI as having potential value in their design practice, varying based on their desired role for the AI.

13 pages, 3 figures, CHI Conference on Human Factors in Computing Systems

References in corpus (2)

• Proceedings of the 29th International Conference on Machine Learning (ICML-12)
• A Neural Representation of Sketch Drawings

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