The effectiveness of reflective AI-engagement mechanisms varies across users, depending on Need for Cognition, expertise, domain familiarity, and task difficulty¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Cognitive forcing reduced overreliance on average, with the benefit most prominent among participants with higher Need for Cognition, and engagement varied across task difficulties. → Sander de Jong 2026

Evidence¶

Sander de Jong 2026¶

Sander de Jong. (2026). Open Questions Towards Skill-Sustaining Reliance in Reflective AI Engagement. Workshop paper presented at CHIWORK'26 Workshop on Human Agency and Skill in AI-Supported Work. https://arxiv.org/abs/2609.27726 doi:10.48550/arxiv.2609.27726

q1 · i? · theoretical · r2

Narrative review attribution: the paper reports, citing Bucinca et al., that cognitive forcing reduced overreliance on average with the benefit most prominent among higher-NFC participants, and, citing De Jong et al., that engagement varied across task difficulties.

"Bucinca et al. found that cognitive forcing reduced overreliance on average, but the benefit was most prominent among participants with higher Need for Cognition (NFC)"

Discussion¶

Learner Variables¶

• Prior Knowledge — moderator: an instructional effect differs with it
• Need for Cognition — moderator: an instructional effect differs with it

Related Claims¶

• Reflective strategies such as cognitive forcing, pre-commitment, and uncertainty communication reduce overreliance on AI and improve decision quality, but have been evaluated only as short-term single-session interventions — related
• As cited second-hand in an AI-literacy framework paper: ChatGPT use improved short-term essay scores but triggered metacognitive laziness with no significant knowledge-transfer gains — related
• A systematic review reports that over-reliance on AI dialogue systems fosters complacency and dependency and may weaken students' decision-making — related