Human-AI Interaction for Augmented Reasoning: Improving Human Reflective and Critical Thinking with Artificial Intelligence
Author(s)
Danry, Valdemar; Pataranutaporn, Pat; Cui, Christopher; Hung, Jui-Tse; Blanchard, Lancelot; Bu?inca, Zana; Tan, Chenhao; Starner, Thad; Maes, Pattie; ... Show more Show less
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AI-Augmented Reasoning systems are cognitive assistants that support human reasoning by providing AI-based feedback that can help users improve their critical reasoning skills. Made possible with new techniques like argumentation mining, fact-checking, crowdsourcing, attention nudging, and large language models, AI augmented reasoning systems can provide real-time feedback on logical reasoning, help users identify and avoid flawed arguments and misinformation, suggest counter-arguments, provide evidence-based explanations, and foster deeper reflection. The goal of this workshop is to bring together researchers from AI, HCI, cognitive and social science to discuss recent advances in AI-augmented reasoning, to identify open problems in this area, and to cultivate an emerging community on this important topic.
Description
CHI EA ’25, Yokohama, Japan
Date issued
2025-04-25Department
Massachusetts Institute of Technology. Media LaboratoryPublisher
ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Citation
Valdemar Danry, Pat Pataranutaporn, Christopher Cui, Jui-Tse Hung, Lancelot Blanchard, Zana Buçinca, Chenhao Tan, Thad Starner, and Pattie Maes. 2025. Human-AI Interaction for Augmented Reasoning: Improving Human Reflective and Critical Thinking with Artificial Intelligence. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 787, 1–6.
Version: Final published version
ISBN
979-8-4007-1395-8