mlsanityData to 14 Oct 2026

Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design

arXiv 2406.11125 ↗First posted 17 Jun 2024cs.HCcited by 4

On the map: LLM reasoning → Reasoning benchmarks and evaluation

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Abstract (arXiv)

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 and open new pathways for future research and development, ultimately contributing to practical tools and resources for design researchers.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 8 of its 48 references that are in the map. First posted on arXiv 17 Jun 2024.

Builds on

8 of 48 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering10 Dec

Other references · 7

  1. 2023Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debatecited by 1,011
  2. 2024AI-Augmented Brainwriting: Investigating the use of LLMs in group ideationcited by 44
  3. 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
  4. 2024Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seekingcited by 26
  5. 2023ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactionscited by 22
  6. 2024How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experimentcited by 22
  7. 2024Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Makingcited by 5

Built on by

Cited by year

Citing papers per year: 2025: 4.

4 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026CoDesignAI: An AI-Enabled Multi-Agent, Multi-User System for Collaborative Urban Design at the Conceptual Stage
  2. 2025Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
  3. 2025Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models
  4. 2026The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming
  5. 2026Intelligent Co-Design: An Interactive LLM Framework for Interior Spatial Design via Multi-Modal Agents
  6. 2025"Shall We Dig Deeper?": Designing and Evaluating Strategies for LLM Agents to Advance Knowledge Co-Construction in Asynchronous Online Discussions
  7. 2023Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaboration
  8. 2025Agentic Workflows for Conversational Human-AI Interaction Design