Leah Hamilton, Desha Elliott, Aaron Quick, Simone Smith, Victoria Choplin
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引用次数: 1
Abstract
This study explores the potential of the AI chatbot ChatGPT to supplement human-centered tasks such as qualitative research analysis. The study compares the emergent themes in human and AI-generated qualitative analyses of interviews with guaranteed income pilot recipients. The results reveal that there are similarities and differences between human and AI-generated analyses, with the human coders recognizing some themes that ChatGPT did not and vice versa. The study concludes that AI like ChatGPT provides a powerful tool to supplement complex human-centered tasks, and predicts that such tools will become an additional tool to facilitate research tasks. Future research could explore feeding raw interview transcripts into ChatGPT and incorporating AI-generated themes into triangulation discussions to help identify oversights, alternative frames, and personal biases.
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Impact Factor: 5.4 Ranked 5/110 in Social Sciences, Interdisciplinary – SSCI
Indexed In: Clarivate Analytics: Social Science Citation Index, the Directory of Open Access Journals (DOAJ), and Scopus
Launched In: 2002
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International Journal of Qualitative Methods (IJQM) is a peer-reviewed open access journal which focuses on methodological advances, innovations, and insights in qualitative or mixed methods studies. Please see the Aims and Scope tab for further information.