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

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arxiv 1901.06417 v1 pith:AC2HIWZH submitted 2019-01-18 cs.HC

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

classification cs.HC
keywords leveldesigndesignersrolealgorithmscreativedesiredgame
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System

    cs.HC 2019-06 unverdicted novelty 4.0

    Deep learning vector novelty metric drives conceptual shifts in an AI-human sketching system; user study finds higher novelty correlates with more creative design outcomes.