mlsanityData to 14 Oct 2026

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation

arXiv 2506.12879 ↗First posted 15 Jun 2025cs.HC cs.AIcited by 6

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Abstract (arXiv)

Despite the potential of generative AI (GenAI) design tools to enhance design processes, professionals often struggle to integrate AI into their workflows. Fundamental cognitive challenges include the need to specify all design criteria as distinct parameters upfront (intent formulation) and designers' reduced cognitive involvement in the design process due to cognitive offloading, which can lead to insufficient problem exploration, underspecification, and limited ability to evaluate outcomes. Motivated by these challenges, we envision novel metacognitive support agents that assist designers in working more reflectively with GenAI. To explore this vision, we conducted exploratory prototyping through a Wizard of Oz elicitation study with 20 mechanical designers probing multiple metacognitive support strategies. We found that agent-supported users created more feasible designs than non-supported users, with differing impacts between support strategies. Based on these findings, we discuss opportunities and tradeoffs of metacognitive support agents and considerations for future AI-based design tools.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 15 of its 123 references that are in the map. First posted on arXiv 15 Jun 2025.

Builds on

15 of 123 references.

References · 15

  1. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  2. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,778
  3. 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
  4. 2023CogAgent: A Visual Language Model for GUI Agentscited by 704
  5. 2023The Metacognitive Demands and Opportunities of Generative AIcited by 87
  6. 2023Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfacescited by 72
  7. 2023A Review of Deep Learning Techniques for Speech Processingcited by 52
  8. 2022Automatic Generation of Socratic Subquestions for Teaching Math Word Problemscited by 43
  9. 2022An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Eracited by 33
  10. 2023Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Toolscited by 17
  11. 2023Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systemscited by 10
  12. 2024"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Studycited by 6
3 more
  1. 2020SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflowscited by 4
  2. 2023Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systemscited by 4
  3. 2023Robot Duck Debugging: Can Attentive Listening Improve Problem Solving?cited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 5.

6 papers.

  1. 2026Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Designcited by 3
  2. 2025Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Ozcited by 2
  3. 2026Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Videocited by 2
  4. 2026MetaCues: Enabling Critical Engagement with Generative AI for Information Seeking and Sensemakingcited by 0
  5. 2026Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contextscited by 0
  6. 2026Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistantscited by 0