AcademiaOS: Automating Grounded Theory Development in Qualitative Research with Large Language Models

March 13, 2024 Β· Entered Twilight Β· πŸ› arXiv.org

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Repo contents: .gitignore, CODE_OF_CONDUCT.md, CONTRIBUTING.MD, LICENSE.md, README.md, package.json, public, src, tsconfig.json

Authors Thomas Übellacker arXiv ID 2403.08844 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI, cs.IR Citations 3 Venue arXiv.org Repository https://github.com/thomasuebi/academia-os ⭐ 50 Last Checked 3 months ago
Abstract
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.
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