Saurabh Paul, Christos Boutsidis, et al.
JMLR
Researchers have experimented with ways of providing computer assistance to the co-creative task of brainstorming. Now, large language models (LLMs) present new opportunities and challenges to bring an AI agent directly into a brainstorming session. We built an AI agent to act as an interactive participant in online conversational brainstorming for a distributed workforce. Eighteen colleagues participated in 6 brainstorming experiences (3 people per replication, 3 topics across 3 sessions, counterbalanced) with an AI as a “fourth participant.” At the end of each session, participants chose 3 ideas as “final” i.e., to be recommended to an imagined client. Humans and AI collaborated in creating, evaluating, refining, and selecting a larger number ideas through five different patterns of idea-development.
Using frameworks from mixed initiative interfaces, we analyze five types of actions taken by humans and by AI, and we begin to answer the research question: How does an idea become final?
Saurabh Paul, Christos Boutsidis, et al.
JMLR
C.A. Micchelli, W.L. Miranker
Journal of the ACM
Joxan Jaffar
Journal of the ACM
Kenneth L. Clarkson, Elad Hazan, et al.
Journal of the ACM