Elicitation interviews are the most common requirements elicitation
technique, and proficiency in conducting these interviews is crucial for
requirements elicitation. Traditional training methods, typically limited to
textbook learning, may not sufficiently address the practical complexities of
interviewing techniques. Practical training with various interview scenarios is
important for understanding how to apply theoretical knowledge in real-world
contexts. However, there is a shortage of educational interview material, as
creating interview scripts requires both technical expertise and creativity. To
address this issue, we develop a specialized GPT agent for auto-generating
interview scripts. The GPT agent is equipped with a dedicated knowledge base
tailored to the guidelines and best practices of requirements elicitation
interview procedures. We employ a prompt chaining approach to mitigate the
output length constraint of GPT to be able to generate thorough and detailed
interview scripts. This involves dividing the interview into sections and
crafting distinct prompts for each, allowing for the generation of complete
content for each section. The generated scripts are assessed through standard
natural language generation evaluation metrics and an expert judgment study,
confirming their applicability in requirements engineering training.

为了解决需求工程培训中教学材料匮乏的问题，本研究开发了一种专用的 GPT 代理人用于自动生成面试脚本，并通过标准的自然语言生成评估指标和专家判断研究来确认其在需求工程培训中的适用性。