Abstract: The field of computational creativity is beginning to investigate how co-creative agents might interface with the human creative process. These computer colleagues are a mix between creativity support tools helping users achieve creative goals and creative algorithms that generate content autonomously. Computer colleagues have enormous potential because during creative improvisational collaboration, a new form of distributed creativity arises that can lead to emergent, dynamic, and unexpected meaning to support creativity in new ways. However, there is a gap in the literature about cognitive accounts of the interaction dynamics of open-ended creative collab- oration, e.g. the rhythm of interaction, style of turn taking, and manner in which participants are mutually making sense of a situation. An empirically grounded cogni- tive framework would greatly aid in the design and evaluation of co-creative systems. With this dissertation, I begin to address that gap by asking the overarching research question: How do humans collaborate in open-ended improvisational creativity, and how can we design co-creative agents to achieve similar benefits as human collaboration?
© Nicholas Davis 2022