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New model CoAX explains human understanding of AI explanations

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new cognitive model called CoAX to better understand how humans interpret explanations from AI systems, particularly when dealing with structured data. Through user studies and cognitive modeling, the team identified effective and ineffective reasoning strategies people use when trying to anticipate AI decisions. This model can help debug human understanding of AI explanations and guide the development of more usable and interpretable AI interfaces. AI

IMPACT Improves understanding of how users interpret AI explanations, potentially leading to more effective AI system design.

RANK_REASON This is a research paper published on arXiv detailing a new model for understanding human interaction with AI explanations.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New model CoAX explains human understanding of AI explanations

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This is a research paper published on arXiv detailing a new model for understanding human interaction with AI explanations.
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim ·

    CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations

    arXiv:2604.27354v1 Announce Type: new Abstract: Explainable AI (XAI) aims to improve user understanding and decisions when using AI models. However, despite innovations in XAI, recent user evaluations reveal that this goal remains elusive. Understanding human cognition can help e…

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