Complex problem solving depends on acting effectively and understanding how a system works. AI advice may support these outcomes unequally. Two preregistered experiments compared participants managing a simulated clothing factory with and without an LLM advisor. Across studies, AI-supported participants reported greate...
AI assistance can improve performance without improving self-assessment. We report a study (N=366) comparing Human alone and Human+AI performance on reasoning tasks, for which the AI model is benchmarked on the same items. Participants estimated global and block performance and rated confidence in their answers. Human+...
Daniela Fernandes, Michelle Rausch, A. M. Kloft et al.· 0 citations
A shared vocabulary, a design space, and evidence that measured monitoring and task performance are separable design targets are contributed, suggesting that measured monitoring and task performance are separable design targets.
M. A. D. Santos, P. Thiesse, Steeven Villa et al.· 0 citations
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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