AcademiaOS is a first attempt to automate grounded theory development in qualitative research with large language models. Using recent large language models' language understanding, generation, and reasoning capabilities, AcademiaOS codes curated qualitative raw data such as interview transcripts and develops themes and dimensions to further develop a grounded theoretical model, affording novel insights. A user study (n=19) suggests that the system finds acceptance in the academic community and exhibits the potential to augment humans in qualitative research. AcademiaOS has been made open-source for others to build upon and adapt to their use cases.

翻译：AcademiaOS 是首次尝试利用大型语言模型自动化定性研究中的扎根理论开发。通过借助最新大型语言模型的语言理解、生成与推理能力，AcademiaOS 对访谈记录等精选定性原始数据进行编码，并提炼主题与维度，以进一步构建出扎根理论模型，从而产生新颖见解。一项用户研究（n=19）表明，该系统在学术界获得了认可，并展现出在定性研究中辅助人类的潜力。AcademiaOS 已开源，以供他人基于其基础上进行改进并适配自身应用场景。