Abstract
This paper explores the attributes necessary to determine the creative merit of intermediate artifacts produced during a computational co-creative process (CCC) in which a human and an artificial intelligence system collaborate in the generative phase of a creative project. In an active listening experiment, subjects with diverse musical training (N=43) judged unfinished pieces composed by the New Electronic Assistant (NEA). The results revealed that a two-attribute definition based on the value and novelty of an artifact (e.g., Corazza's effectiveness and novelty) suffices to assess unfinished work leading to innovative products, instead of Boden's classic three-attribute definition of creativity (value, novelty, and surprise). These findings reduce the creativity metrics needed in CCC processes and simplify the evaluation of the numerous unfinished artifacts generated by computational creative assistants.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 98-107 |
| Number of pages | 10 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3359 |
| State | Published - 2023 |
| Event | Joint Workshops of IUI 2023: HAI-GEN - Human-AI Co-Creation with Generative Models, ITAH - Workshop on Interactive Technologies for AI in Healthcare, MILC - Workshop on Intelligent Music Interfaces for Listening and Creation, SHAI - Workshop on Designing for Safety in Human-AI Interactions, SketchRec - Workshop on Sketch Recognition and SOCIALIZE - Social and Cultural Integration with Personalized Interfaces - Sydney, Australia Duration: Mar 27 2023 → Mar 31 2023 |
Keywords
- Computational Co-Creativity
- creativity assessment
- dynamic creativity
ASJC Scopus subject areas
- General Computer Science