发表机构
University of California, Irvine（加利福尼亚大学欧文分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究通过逻辑谜题实验发现，AI辅助会削弱人类长期技能发展，独立问题解决努力对技能提升更关键，低AI请求成本会增加AI使用频率且降低后续无辅助表现。
AI 中文摘要
尽管AI辅助可在短期内提升人类任务表现，但长期来看可能会削弱技能发展。我们通过一项受控的逻辑谜题实验来探究这种矛盾，实验中提供按需AI辅助，参与者在AI可用前、使用期间及移除后完成任务。通过实验调整AI请求成本，我们发现成本较低的辅助会促使人们更频繁地使用AI。还发现在AI可用阶段请求过AI辅助的参与者，在辅助移除后任务表现更差，且若根据此前AI辅助下的表现预测，会高估他们后续无辅助时的表现。我们使用贝叶斯潜在能力模型，将初始能力、AI使用后的能力及参与者特定的技能变化分离开，同时估算AI可用阶段的独立推理与技能发展的关联。结果显示，更多的独立问题解决努力与潜在能力的更大提升相关，这与“当AI辅助替代独立推理时，技能发展会更弱”的解释一致。
英文摘要
While AI assistance can improve human task performance in the short term, it may also undermine the development of skills in the longer term. We examine this tension in a controlled logic-puzzle experiment involving on-demand AI assistance, where participants complete tasks before, during, and after AI is available. By experimentally varying AI request costs, we find that lower-cost assistance induces more frequent AI use. We also find that participants who request AI assistance during the AI-access phase perform worse at the task after assistance is removed, and their subsequent unassisted performance is overestimated when predicted from earlier AI-assisted performance. We use a Bayesian latent ability model to separate initial ability, post-AI ability, and participant-specific skill change, while estimating how independent reasoning during the AI-access phase relates to skill development. The results show that greater independent problem-solving effort is associated with larger gains in latent ability, consistent with the interpretation that skill development is weaker when AI assistance substitutes for independent reasoning.
CommentsAccepted at Human-AI Complementarity and Alignment (HCOMP) 2026
