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Albrecht Schmidt

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#artificial intelligence Preprint Sep 2026

Beyond"ChatGPT Can Make Mistakes": Designing Interventions to Support Metacognitive Monitoring in AI-Assisted Work

AI assistance places a metacognitive demand on users, who must judge their own competence and the system's. Yet designers lack comparative evidence on which interventions to choose, where to place them, and how to tell whether they worked. We elicited 30 interventions from 11 experts and, with prior work, organized the...

M. A. D. Santos, P. Thiesse, Steeven Villa et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Available but Unclaimed: An Empirical Study of Human-AI Synergy

People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participants (N=535) solved a 40-item battery of matrix reasoning, mental rotation, syllogisms, and letter-string analogies, unaided or with GPT-5.6-L...

Robin Welsch, Michelle Rausch, Pascal Knierim et al. · 0 citations

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