Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology.
Neurosci Conscious April 7, 2026 Peer reviewed DOI: 10.1093/nc/niag008 via PubMed Central
Summary
This work presents MOSAIC, a method that combines topic modeling with large language models to analyze subjective, first-person accounts of stroboscopic experiences. By mapping these descriptions into interpreted clusters, the approach aims to systematically organize and understand the structure of stroboscopic phenomenology, offering a computational tool for qualitative research in consciousness studies.
Study at a glance
| Design | theoretical or methodological paper |
|---|---|
| Key finding | MOSAIC effectively integrates topic modeling and large language models to cluster and interpret subjective reports of stroboscopic experiences. |
Abstract
Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology.