Expanding Horizons in HCI Research Through LLM-Driven Qualitative Analysis
CoRR(2024)
摘要
How would research be like if we still needed to "send" papers typed with a
typewriter? Our life and research environment have continually evolved, often
accompanied by controversial opinions about new methodologies. In this paper,
we embrace this change by introducing a new approach to qualitative analysis in
HCI using Large Language Models (LLMs). We detail a method that uses LLMs for
qualitative data analysis and present a quantitative framework using SBART
cosine similarity for performance evaluation. Our findings indicate that LLMs
not only match the efficacy of traditional analysis methods but also offer
unique insights. Through a novel dataset and benchmark, we explore LLMs'
characteristics in HCI research, suggesting potential avenues for further
exploration and application in the field.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要