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.
Cooperative Design Optimization through Natural Language Interaction
OMRON SINIC X Corporation（OMRON SINIC X公司）；The University of Tsukuba（茨口大学）；The University of Tokyo（东京大学）；National Institute of Advanced Industrial Science and Technology (AIST)（国家先进工业科学与技术研究院）
Virtual Reality in Manufacturing Education: A Scoping Review Indicating State-of-the-Art, Benefits, and Challenges Across Domains, Levels, and Entities
GenFaceUI: Meta-Design of Generative Personalized Facial Expression Interfaces for Intelligent Agents
College of Design and Innovation, Tongji University（同济大学设计创意学院）；School of Design, Southern University of Science and Technology（南方科技大学设计学院）；Shanghai Research Institute for intelligent Autonomous Systems, Tongji University（同济大学上海智能自主系统研究院）；University of Washington（华盛顿大学）；School of Art and Design, Wuhan University of Technology（武汉理工大学艺术与设计学院）
