Year: 2025
Type: article
Abstract: Generative AI (GenAI) is experiencing rapid growth, particularly in its application as a tool for qualitative text analysis—a key element of Human-Computer Interaction (HCI) research. This study examines the potential of GenAI, specifically ChatGPT, to assist in the analysis of qualitative research data. Four qualitative HCI studies, previously conducted and analyzed by our research group, were selected for this investigation. ChatGPT was employed to perform AI-assisted analyses on the raw data from these studies, and the AI-generated insights were then compared with the human-led analyses already completed. The results reveal significant alignment between the human and AI-assisted analyses, indicating that GenAI can serve as an effective support tool in qualitative research. However, while GenAI offers considerable advantages in enhancing research efficiency, human oversight remains crucial to ensuring accurate interpretation and contextual alignment. This study also provides practical recommendations for researchers interested in incorporating GenAI into their qualitative analysis processes.
Source: Journal on Interactive Systems
Authors: Mariana Gomes Borges, Claiton Marques Correa, Diego Moreira da Rosa, Andrea Gnecco, Milene Selbach Silveira
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
Award: G29316538
OpenAlex ID: W7105965649