Evaluating Creativity in Computational Co-Creative Systems
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Abstract (arXiv)
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.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jul 2018.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 4; 2026: 2.
9 papers.
- 2022Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systemscited by 8
- 2022Identifying Ethical Issues in AI Partners in Human-AI Co-Creationcited by 5
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insightscited by 3
- 2025Imagining Design Workflows in Agentic AI Futurescited by 1
- 2023AI Friends: A Design Framework for AI-Powered Creative Programming for Youthcited by 0
- 2025MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixingcited by 0
- 2025GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativitycited by 0
- 2026Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Modelscited by 0
- 2026Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectoriescited by 0
- 2026Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories13 Jun 2026
- 2026Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models28 May 2026
- 2025GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity21 Nov 2025
- 2025Imagining Design Workflows in Agentic AI Futures25 Sep 2025
- 2025MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing8 Jul 2025
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights23 May 2025
- 2023AI Friends: A Design Framework for AI-Powered Creative Programming for Youth17 May 2023
- 2022Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systems27 Apr 2022
- 2022Identifying Ethical Issues in AI Partners in Human-AI Co-Creation15 Apr 2022