Sign inGet started
Paper · arXiv

AI-assisted Script Management for Requirements Elicitation Interviews

Requirements elicitation interviews require interviewers to balance topic coverage, active listening, and adaptive probing while responding to stakeholders in real time. Although prior work has explored AI support for isolated interviewing tasks, such as script generation and follow-up question generation, little is known about how integrated support affects the interview and what requirements artifacts emerge. Furthermore, script management---which helps the interviewer track topic coverage in real time and decide when to probe further---remains underexplored. This paper presents an AI-assisted elicitation workflow that combines theory-guided script generation grounded in business goals ...

AuthorsAnmol Singhal, Paulo Carvalho, Travis Breaux
Primary categorycs.SE
Published3 August 2026
Last updated at source3 August 2026
cs.SEcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/ecb2d643-d092-4887-afb7-b6eef8508742" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.