A Human-Centric Evaluation of a Retrieval-Augmented Generation System for Explaining Quebec Insurance Contracts
With the rise of online insurance sales, consumers face a significant \enquote{advice gap}, requiring them to navigate complex legal contracts without expert guidance. This paper presents a human-centric, extrinsic evaluation of a state-of-the-art Retrieval-Augmented Generation system, designed to make Quebec automobile insurance contracts more understandable. Through a user study with 154 participants from Laval University, we assess the agent's real-world utility by measuring system satisfacti
Record details
Published: 17 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy
Retrieved: 20 July 2026
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ethics.ai (17 July 2026), “A Human-Centric Evaluation of a Retrieval-Augmented Generation System for Explaining Quebec Insurance Contracts,” evidence record 11866, https://ethics.ai/record/11866 (originally published by arXiv cs.HC).
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