Ai-Native Qualitative Interviews At Scale: Leveraging Conversational Agents For Organisational Research

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

Qualitative research methods such as semi-structured interviews yield rich insights but face inherent limitations in scalability.Recent advances in large language models (LLMs) have produced conversational agents capable of conducting adaptive dialogues that approach human-like quality.We propose an AI-native interview system that employs LLM-based agents to conduct qualitative interviews at scale.We report preliminary findings from pilot deployments with 350 university students and outline an organizational research approach with 500 employees at a large consulting firm.During the TREO session, we will demonstrate how to set up and deploy these agents and invite discussion on research design, A/B testing, variable operationalization through text mining, and new applications.

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