Evaluating Creativity in Computational Co-Creative Systems
Karimi, Pegah, Grace, Kazjon, Maher, Mary Lou, Davis, Nicholas
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jul-25-2018
- Country:
- North America > United States
- California > Los Angeles County > Santa Monica (0.04)
- Oceania > Australia (0.04)
- North America > United States
- Genre:
- Research Report > New Finding (0.46)
- Technology: