Our group is excited to present several papers at the ASME IDETC ‘25 conference! We plan to see everyone in person in Anaheim!
Simulating Design Theory Using LLM Agents: A Case Study of C-K Theory
Authors: Kevin Ma, Eric Reynolds Brubaker, and Kosa Goucher-Lambert
Human-Gen AI Co-Design: Exploring Factors Impacting Trust Calibration
Authors: Chenjun Guo, Antoni Borghini, Kosa Goucher-Lambert, and Gaëlle Baudoux
Data-Driven Sustainable Design Opportunities from Automated User Insights
Authors: Nicole Goridkov, Zhe Wee Ng, and Kosa Goucher-Lambert
RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models
Authors: Diana Bolaños, Mohammadmehdi Ataei, Daniele Grandi, and Kosa Goucher-Lambert
Our group is excited to present several papers at the International Conference on Engineering Design (ICED) ‘25! We will see everyone in person in Dallas!
Multimodal generative AI for conceptual design: Enabling text-based and sketch-based human-AI conversations
Authors: Gaëlle Baudoux, Chenjun Guo, and Kosa Goucher-Lambert
Generating Preinventive Structures: AI-Driven Creativity in Product Repurposing
Authors: Elisa Kwon and Kosa Goucher-Lambert
Harnessing digital vs physical design for sustainable behavior strategies: A review
Authors: Nicole Goridkov and Kosa Goucher-Lambert
Kosa was awarded a 2025 Berkeley Collegium Grant for Building Teaching and Research Connections. The project is titled “Reimagining Human-Centered Design through AI Expeditions” and will help develop a new course in which traditional human-centered design education is augmented by AI methods and tools.
Prof. Goucher-Lambert was invited to speak at the Design Society RIGI meeting on Future of Design Cognition! Thanks to Dr. Carolyn Seepersad at Georgia Tech for the invitation.
Kosa was appointed Associate Director of the Master of Design program, a professional graduate program jointly offered by the College of Engineering and College of Environmental Design. Congrats Kosa!
Co-Design lab alum Dr. Yakira Mirabito was recently featured on the “Quality during Design” podcase with Dianna Deeney. They talked about about social dynamics within engineering and how it affects decision making. Check out the episode here!
Elisa gave her PhD seminar talk titled “Human-AI Interaction and Alignment in Engineering Design: An Exploration of Behavioral, Cognitive, and Neurocognitive Perspectives” (abstract below)!
ABSTRACT: Advances in artificial intelligence (AI) increasingly enable opportunities for providing real-time support to human designers during early-stage design. Novel interactions afforded by these systems (e.g., retrieval of visually similar designs based on sketched inputs) raise fundamental questions regarding their influence on designers’ behaviors, cognitive processes, and design outcomes. For these interactions to be effective, human and AI perspectives should align such that designers’ intentions and expectations are accurately interpreted by AI. My doctoral work explored the interaction and alignment between human and AI systems during design across a series of empirical studies. Through behavioral investigations, I first examined the use of a custom multi-modal AI interface to support concept generation and design space exploration using computational prediction of design behaviors resulting from AI interventions. In a cognitive study on human similarity perceptions, I then compared how humans and AI define similarities between designs, identifying criteria for aligning AI to human representations in design tools. Applying a novel neuroimaging approach, I lastly showed how brain signals during word generation positively align with word representations by large language models (LLMs), indicating the potential for LLMs to directly interface with human thought during design. Across these studies, my work has contributed to understanding and informing effective human interaction with AI in engineering design.