TimelyAI 2026
TimelyAI: When Should Generative AI Assistants Intervene?

Table of Contents

• Preface: TimelyAI, When Should Generative AI Assistants Intervene? 1–5
  Yihang Zhao, Qing Xia, Amy Rechkemmer, Yiwen Xing, Lise Stork, Albert Meroño-Peñuela, Mark Whiting, Advait Sarkar, Duncan Brumby, Elena Simperl
• Timing-Aware Detection of Emergent Infinite Loops in TCG Design Workflows 6–13
  Yuanzhe Jin, Zihan Xu, Shuhan Liu
• The Illusion of Progress: Dialogue-Derived Signals for Proactive Intervention Timing in Student-GenAI Interaction 14–22
  Fangwei Lin, Khe Foon Hew
• Final Answer Is Too Late: Prompt-as-Intervention for Evidence-Bounded Multimodal Interpretation 23–33
  Haorui Yu, Yunfei Wang, Qiufeng Yi
• Glanceable Verification Indicators for AI-Assisted Storytelling: Signals and Evaluation for Verification Interventions 34–53
  Muhan Xu, Ziwei Zhao, Junyi Zeng, Tianhong Wang, Francesca Panetta, Rebecca Fiebrink, Nick Bryan-Kinns, Mick Grierson
• Beyond Fixed Loops: Estimated RPE as a Master Signal for Timely Proactive Coaching in Physical Workouts 54–60
  Thomas Baldassarre, Evelyne Meurisse, Kevin El Haddad, Thierry Dutoit
• Friction or Breakdown? Rethinking the Timing of GenAI Intervention in Knowledge Work 61–68
  Zhitong Guan
• One Body, Many Masters: The Timely Politics of Domestic Robot Attention 69–74
  Botao Amber Hu
• When Groups Struggle: A Framework of Trigger Events and Regulatory Breakdown in Socially Shared Regulation of Learning for Proactive AI Intervention 75–82
  Wenxin Zhang
• Governing the Timing of Generative AI Assistance in Undergraduate Academic Writing: A Comparative Policy Analysis of Universities in China and the UK 83–88
  Lurong Yin, Qi Zhang
• Whose Readiness? Rethinking Intervention Timing for Polyadic AI Facilitation 89–96
  Echo Chuqiao Wan
• Detection of Induced Psychosis-Like Thinking in User-GenAI Interaction: A Retrieval-Augmented Generation (RAG) Approach 97–103
  Yi Huang