When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design Task

要旨

Studies of Generative AI (GenAI)-assisted creative workflows have focused on individuals overcoming challenges of prompting to produce what they envisioned. When designers work in teams, how do collaboration and prompting influence each other, and how do users perceive generative AI and their collaborators during the co-prompting process? We engaged students with design or performance backgrounds, and little exposure to GenAI, to work in pairs with GenAI to create stage designs based on a creative theme. We found two patterns of collaborative prompting focused on generating story descriptions first, or visual imagery first. GenAI tools helped participants build consensus in the task, and allowed for discussion of the prompting strategies. Participants perceived GenAI as efficient tools rather than true collaborators, suggesting that human partners reduced the reliance on their use. This work highlights the importance of human-human collaboration when working with GenAI tools, suggesting systems that take advantage of shared human expertise in the prompting process.

著者
Ziyi Qiu
Southeast University, Cheng du, China
Yuanning Han
Southern University of Science and Technology, Shenzhen, China
JIALE CHENG
HONG KONG POLYTECHNIC UNIVERSITY , HONG KONG, China
RAY LC
City University of Hong Kong, Hong Kong, Hong Kong
論文URL

https://doi.org/10.1145/3613904.3642133

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Creative Professionals and AI B

316C
5 件の発表
2024-05-13 20:00:00
2024-05-13 21:20:00