🧠 AI Ed Wiki

Synthesis: Investigates adversarial AI design agents that enact constructive conflict to prompt reconsideration in novice designers. Between-subjects experiment (N=48) comparing adversarial vs. cooperative AI agent roles. Adversarial agent condition produced significantly more design iterations, broader exploration of alternatives, and higher-rated final designs. Participants reported the conflict agent was frustrating but ultimately helpful — a productive friction dynamic. Connects to adversarial design theory and Socratic tutoring. Agentic AI, Scaffolding, Student Experience, Design Thinking, and Socratic Method.

Investigates adversarial AI design agents that enact constructive conflict to prompt reconsideration in novice designers. Between-subjects experiment (N=48) comparing adversarial vs. cooperative AI agent roles. Adversarial agent condition produced significantly more design iterations, broader exploration of alternatives, and higher-rated final designs. Participants reported the conflict agent was frustrating but ultimately helpful — a productive friction dynamic. Connects to adversarial design theory and Socratic tutoring.

Connected Concepts

  • Agentic AI
  • Scaffolding
  • Student Experience
  • Design Thinking
  • Socratic Method
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  • Citation

    Howard Ziyu Han, & Nikolas Martelaro (2026). Enacting Constructive Conflicts with AI Agents to Enhance Reconsideration among Novice Interaction Designers. arXiv:2608.04166. Human-Agent Interaction (HAI) 2026.