Promoting Critical Thinking With Domain-Specific Generative AI Provocations

Fuente: arXiv
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Auteurs principaux: von Davier, Thomas Şerban, Lee, Hao-Ping, Forlizzi, Jodi, Das, Sauvik
Format: Preprint
Publié: 2026
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author von Davier, Thomas Şerban
Lee, Hao-Ping
Forlizzi, Jodi
Das, Sauvik
author_facet von Davier, Thomas Şerban
Lee, Hao-Ping
Forlizzi, Jodi
Das, Sauvik
contents The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some argue that AI-driven provocations, such as questions asking for human clarification and justification, are beneficial for eliciting critical thinking. Drawing on our experience designing and evaluating two GenAI-powered tools for knowledge work, ArtBot in the domain of fine art interpretation and Privy in the domain of AI privacy, we reflect on how design decisions shape the form and effectiveness of such provocations. Our observations and user feedback suggest that domain-specific provocations, implemented through productive friction and interactions that depend on user contribution, can meaningfully support critical thinking. We present participant experiences with both prototypes and discuss how supporting critical thinking may require moving beyond static provocations toward approaches that adapt to user preferences and levels of expertise.
format Preprint
id arxiv_https___arxiv_org_abs_2603_19975
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Promoting Critical Thinking With Domain-Specific Generative AI Provocations
von Davier, Thomas Şerban
Lee, Hao-Ping
Forlizzi, Jodi
Das, Sauvik
Human-Computer Interaction
Artificial Intelligence
The evidence on the effects of generative AI (GenAI) on critical thinking is mixed, with studies suggesting both potential harms and benefits depending on its implementation. Some argue that AI-driven provocations, such as questions asking for human clarification and justification, are beneficial for eliciting critical thinking. Drawing on our experience designing and evaluating two GenAI-powered tools for knowledge work, ArtBot in the domain of fine art interpretation and Privy in the domain of AI privacy, we reflect on how design decisions shape the form and effectiveness of such provocations. Our observations and user feedback suggest that domain-specific provocations, implemented through productive friction and interactions that depend on user contribution, can meaningfully support critical thinking. We present participant experiences with both prototypes and discuss how supporting critical thinking may require moving beyond static provocations toward approaches that adapt to user preferences and levels of expertise.
title Promoting Critical Thinking With Domain-Specific Generative AI Provocations
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2603.19975