Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design
Soohwan Lee, Seoyeong Hwang, Kyungho Lee

TL;DR
This paper explores how LLM-based conversational agents can foster critical thinking in group design by challenging opinions and recommendations, aiming to reduce fixation and promote inclusive, reflective design processes.
Contribution
It introduces design considerations for AI agents to effectively promote critical reflection and mitigate fixation in collaborative design settings.
Findings
Conversational agents can challenge groupthink effectively.
Optimizing intervention timing enhances critical reflection.
AI roles support both individual and group reflection.
Abstract
This paper investigates the potential of LLM-based conversational agents (CAs) to enhance critical reflection and mitigate design fixation in group design work. By challenging AI-generated recommendations and prevailing group opinions, these agents address issues such as groupthink and promote a more dynamic and inclusive design process. Key design considerations include optimizing intervention timing, ensuring clarity in counterarguments, and balancing critical thinking with designers' satisfaction. CAs can also adapt to various roles, supporting individual and collective reflection. Our work aligns with the "Death of the Design Researcher?" workshop's goals, emphasizing the transformative potential of generative AI in reshaping design practices and promoting ethical considerations. By exploring innovative uses of generative AI in group design contexts, we aim to stimulate discussion…
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Taxonomy
TopicsDesign Education and Practice · Software Engineering Techniques and Practices
