More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
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Abstract (arXiv)
As AI tools become increasingly embedded in cognitively demanding tasks such as note-taking, questions remain about whether they enhance or undermine cognitive engagement. This paper examines the "AI Assistance Dilemma" in note-taking, investigating how varying levels of AI support affect user engagement and comprehension. In a within-subject experiment, we asked participants (N=30) to take notes during lecture videos under three conditions: Automated AI (high assistance with structured notes), Intermediate AI (moderate assistance with real-time summary, and Minimal AI (low assistance with transcript). Results reveal that Intermediate AI yields the highest post-test scores and Automated AI the lowest. Participants, however, preferred the automated setup due to its perceived ease of use and lower cognitive effort, suggesting a discrepancy between preferred convenience and cognitive benefits. Our study provides insights into designing AI assistance that preserves cognitive engagement, offering implications for designing moderate AI support in cognitive tasks.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Sep 2025.
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Citing papers per year: 2025: 1; 2026: 6.
7 papers.
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- 2026MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production9 Sep 2026
- 2026AI Assistants Overassist23 Jul 2026
- 2026Comparing the Impact of Pedagogy-Informed Custom and General-Purpose GAI Chatbots on Students' Science Problem-Solving Processes and Performance Using Heterogeneous Interaction Network Analysis3 Apr 2026
- 2026Not Too Short, Not Too Long: How LLM Response Length Shapes People's Critical Thinking in Error Detection6 Mar 2026
- 2026Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation12 Feb 2026
- 2025A Meta-Analysis of LLM Effects on Students across Qualification, Socialisation, and Subjectification25 Sep 2025