Utilizing the recent advancements in LLMs, we developed a chat bot that conducts requirements elicitation interviews with minimal human intervention. This aims to reduce common interviewer errors and improve the scalability of requirements elicitation. Our findings indicate that the chat bot makes a similar number of errors compared to human interviewers, is capable of extracting a large portion of requirements, and demonstrates a notable ability to generate highly context-dependent questions.
Korn et al. (2026) studied this question.