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Evaluating Creativity in Computational Co-Creative Systems

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arxiv 1807.09886 v1 pith:WE22NGKR submitted 2018-07-25 cs.AI cs.HC

classification cs.AIcs.HC
keywords systemsco-creativecreativityevaluatingevaluationcomputationalcreativeexisting
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper provides a framework for evaluating creativity in co-creative systems: those that involve computer programs collaborating with human users on creative tasks. We situate co-creative systems within a broader context of computational creativity and explain the unique qualities of these systems. We present four main questions that can guide evaluation in co-creative systems: Who is evaluating the creativity, what is being evaluated, when does evaluation occur and how the evaluation is performed. These questions provide a framework for comparing how existing co-creative systems evaluate creativity, and we apply them to examples of co-creative systems in art, humor, games and robotics. We conclude that existing co-creative systems tend to focus on evaluating the user experience. Adopting evaluation methods from autonomous creative systems may lead to co-creative systems that are self-aware and intentional.

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Cited by 2 Pith papers

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

  1. MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing

    cs.SD 2025-07 conditional novelty 7.0 of 10

    MixAssist is the first audio-grounded, multi-turn conversational dataset for co-creative music mixing instruction, and fine-tuning Qwen-Audio on it yields human-comparable mixing advice.

  2. Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories

    cs.HC 2026-06 unverdicted novelty 3.0 of 10

    Cognitive Trajectory Modeling offers a new conceptual framework for representing co-creative interaction dynamics as temporally organized trajectories in attractor landscapes, generalizing concepts from the Enactive M...

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