Metacognitive self- and co-regulation loops improve LLM agent performance in engineering design by mitigating fixation and enabling better exploration of design options.
Understanding Design Fixation in Generative AI, February 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Introduces Semantic Repulsion Technique (SRT) that boosts semantic diversity in AI creative outputs by 85-167% and receives higher usefulness and coherence ratings than baselines in a 16-person user study.
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Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
Metacognitive self- and co-regulation loops improve LLM agent performance in engineering design by mitigating fixation and enabling better exploration of design options.
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Seeing the Hivemind: A Consensus-Aware Interaction Technique for Mitigating AI Homogenization
Introduces Semantic Repulsion Technique (SRT) that boosts semantic diversity in AI creative outputs by 85-167% and receives higher usefulness and coherence ratings than baselines in a 16-person user study.