Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
复制标题

探索支持设计师学习使用基于人工智能的制造设计工具共同创造的挑战和机遇

DOI:
10.1145/3544548.3580999
复制
发表时间:
2023
期刊:
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Martelaro, Nikolas
Martelaro, Nikolas
中科院分区:
--
文献类型:
--
作者:
Gmeiner, Frederic;Yang, Humphrey;Yao, Lining;Holstein, Kenneth;Martelaro, Nikolas

文献摘要

参考文献

被引文献

相似文献

基于人工智能的设计工具在专业软件中不断涌现,以协助工程和工业设计师完成复杂的制造和设计任务。这些工具比传统的计算机辅助设计工具承担更多的代理角色,并且通常被描述为“共同创造者”。然而,与单独使用复杂的 CAD 工具相比,有效地使用此类系统需要不同的技能。迄今为止,我们对工程设计师如何学习使用基于人工智能的设计工具知之甚少。在这项研究中,我们观察了训练有素的设计师学习如何使用两种基于人工智能的工具来完成实际的设计任务。我们发现设计师在学习与当前系统有效地共同创造方面面临许多挑战,包括理解和调整人工智能输出以及传达其设计目标方面的挑战。根据我们的发现,我们重点介绍了几个设计机会,以更好地支持设计师与人工智能的共同创作。
AI-based design tools are proliferating in professional software to assist engineering and industrial designers in complex manufacturing and design tasks. These tools take on more agentic roles than traditional computer-aided design tools and are often portrayed as “co-creators.” Yet, working effectively with such systems requires different skills than working with complex CAD tools alone. To date, we know little about how engineering designers learn to work with AI-based design tools. In this study, we observed trained designers as they learned to work with two AI-based tools on a realistic design task. We find that designers face many challenges in learning to effectively co-create with current systems, including challenges in understanding and adjusting AI outputs and in communicating their design goals. Based on our findings, we highlight several design opportunities to better support designer-AI co-creation.
DOI: 10.1371/journal.pone.0115212
发表时间: 2014
期刊: PloS one
影响因子: 3.7
作者:
Engel D;Woolley AW;Jing LX;Chabris CF;Malone TW
通讯作者: Malone TW
自我解释效应模型。
DOI: 10.1207/s15327809jls0201_1
发表时间: 1992
期刊: The Journal of the Learning Sciences
影响因子: --
作者:
K. VanLehn;Randolph M. Jones;M. Chi
通讯作者: M. Chi
DOI: --
发表时间: 2021-02
期刊: ArXiv
影响因子: --
作者:
A. Ramesh;Mikhail Pavlov;Gabriel Goh;S. Gray;Chelsea Voss;Alec Radford;Mark Chen;I. Sutskever-I.-Sutske
通讯作者: A. Ramesh;Mikhail Pavlov;Gabriel Goh;S. Gray;Chelsea Voss;Alec Radford;Mark Chen;I. Sutskever-I.-Sutske
DOI: 10.1145/2757226.2764555
发表时间: 2015-06
期刊: Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition
影响因子: --
作者:
N. Davis;Chih-Pin Hsiao;Kunwar Yashraj Singh;Lisa Li;S. Moningi;Brian Magerko
通讯作者: N. Davis;Chih-Pin Hsiao;Kunwar Yashraj Singh;Lisa Li;S. Moningi;Brian Magerko
DOI: 10.1186/s40594-019-0170-7
发表时间: 2019-05-07
影响因子: 6.7
作者:
Chase, Catherine C.;Marks, Jenna;Connolly, Helena
通讯作者: Connolly, Helena