| Issue |
MATEC Web Conf.
Volume 413, 2025
International Conference on Measurement, AI, Quality and Sustainability (MAIQS 2025)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 5 | |
| Section | Artificial Intelligence and Measurement | |
| DOI | https://doi.org/10.1051/matecconf/202541303003 | |
| Published online | 01 October 2025 | |
From transcript to insights: Summarizing safety culture interviews with LLMs
1 TNO, Work Health Technology, Sylviusweg 71 2333BE Leiden, The Netherlands
2 TU Delft, Faculty of Technology, Policy and Management, Jaffalaan 5 2628 BX Delft, The Netherlands
3 Leiden University, Social and Behavioural Sciences, Wassenaarseweg 52 2333 AK Leiden, The Netherlands
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The latest developments in AI have the potential to significantly support qualitative analysis of interview transcripts. This study explores the utility of the OpenAI o1-model to assist in efficiently obtaining reliable summarizations of safety culture interviews. Analysis shows that the current approach has the clear potential to significantly improve efficiency of interviewers by providing a concise report that summarizes multiple interviews according to a pre-defined format. However, some hallucinations are present in the generated report. Additional work will aim at reducing their presence, but such hallucinations also emphasizes that LLMs should primarily assist, rather than replace, interviewers in creating a definitive report.
© The Authors, published by EDP Sciences, 2025
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