AREAs-Lab: An Interactive Environment for AI-driven Requirement Elicitation for AI Systems
3.00T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.28979.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAREAs-Lab presents an interactive benchmark for studying AI-driven requirement elicitation. An assistant iteratively refines incomplete requirements by analyzing datasets and asking clarification questions. The benchmark spans 16 public datasets, user profiles, and an automated evaluation pipeline using AI-simulated users to assess elicitation quality.
Why it mattersAcademic testbed for studying how AI assistants convert vague goals into actionable requirements. Relevant to researchers building elicitation tools; limited immediate utility for practitioners.
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