Abstract for: Integrating AI Language Models in Qualitative Research: Replicating Interview Data Analysis with ChatGPT

The recent advent of artificial intelligence (AI) language tools like ChatGPT has opened up new opportunities in qualitative research. We revisited a previous project on obesity prevention interventions, where we developed a causal loop diagram through in-depth interview data analysis. Utilizing ChatGPT in our replication process, we compared its results against our original approach. We discuss that ChatGPT presents improved efficiency and unbiased data processing; however, it also reveals limitations in context understanding. Our findings suggest that ChatGPT currently has great potential to serve as an augmentative tool rather than a replacement for the intricate analytical tasks performed by humans. With ongoing advancements, AI technologies may soon offer more substantial support in enhancing qualitative research capabilities, an area that deserves more investigation.