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Exploring the Potential of Human-LLM Synergy in Advancing Qualitative Analysis: A Case Study on Mental-Illness Stigma
May 10, 2024, 4:47 a.m. | Han Meng, Yitian Yang, Yunan Li, Jungup Lee, Yi-Chieh Lee
cs.CL updates on arXiv.org arxiv.org
Abstract: Qualitative analysis is a challenging, yet crucial aspect of advancing research in the field of Human-Computer Interaction (HCI). Recent studies show that large language models (LLMs) can perform qualitative coding within existing schemes, but their potential for collaborative human-LLM discovery and new insight generation in qualitative analysis is still underexplored. To bridge this gap and advance qualitative analysis by harnessing the power of LLMs, we propose CHALET, a novel methodology that leverages the human-LLM collaboration …
abstract analysis arxiv case case study coding collaborative computer cs.cl cs.cy cs.hc hci human human-computer interaction language language models large language large language models llm llms research show studies study synergy type
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