Information Facet

Information facets research explores how various characteristics of information (e.g., ambiguity, trustworthiness) influence its processing and use, particularly in the context of rapidly expanding data and AI. Current work focuses on improving the interpretability of complex information representations, such as embeddings, often leveraging large language models to translate abstract data into human-understandable formats and to guide learning processes in challenging domains like underwater acoustic signal recognition. This research aims to optimize human-computer interaction with information by adapting representations to cognitive limitations and enhancing the effectiveness of information processing in diverse applications.