A Framework For Discussing LLMs as Tools for Qualitative Analysis

Autor:	Eschrich, James, Sterman, Sarah
Rok vydání:	2024
Předmět:	Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	We review discourses about the philosophy of science in qualitative research and evidence from cognitive linguistics in order to ground a framework for discussing the use of Large Language Models (LLMs) to support the qualitative analysis process. This framework involves asking two key questions: "is the LLM proposing or refuting a qualitative model?" and "is the human researcher checking the LLM's decision-making directly?". We then discuss an implication of this framework: that using LLMs to surface counter-examples for human review represents a promising space for the adoption of LLMs into the qualitative research process. This space is promising because it is a site of overlap between researchers working from a variety of philosophical assumptions, enabling productive cross-paradigm collaboration on tools and practices. Comment: 4 pages, 1 table. Presented at the "LLMs as Research Tools" workshop at CHI 2024 (https://dl.acm.org/doi/10.1145/3613905.3636301)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.11198 Zobrazit plný text záznamu View this record from Arxiv