Speaker: Dr. Brian Keith Norambuena
Narrative maps: extraction and visualization of interactive narratives and applications
Narratives are fundamental to our understanding of the world and are present in all activities that involve representing events over time. Narrative analysis has a range of applications in computational journalism, intelligence services, and disinformation modeling. In this presentation, we will explore a technique for extracting and visualizing computational narratives through narrative maps in news datasets. Furthermore, we will demonstrate how to enhance this representation through interactive artificial intelligence, thereby providing users of the system with a customizable narrative representation to assist them in their narrative analysis tasks. Finally, we will present the results of a user evaluation in a narrative analysis task. Specifically, we will showcase the different strategies employed by the users and the advantages offered by the combination of narrative maps model and interactive artificial intelligence.
Brian Keith Norambuena is an Assistant Professor at the Department of Computing and Systems Engineering. He obtained his Ph.D. in Computer Science and Applications at Virginia Tech in 2023. His research areas include visualization, artificial intelligence, and computational narratives. Brian Keith obtained a degree in Civil Engineering in Computing and Informatics in 2016, a bachelor’s degree in mathematics in 2017, and a master’s degree in computer engineering in 2017 from Universidad Católica del Norte. In 2019, he began his doctoral studies in Computer Science and Applications at Virginia Tech under the Fulbright Faculty Development program, with the support of Universidad Católica del Norte and Becas Chile. He has recently completed his doctorate and has returned to Chile to work as an academic at Universidad Católica del Norte. His research focuses on the extraction and visualization of computational narratives using interactive narrative maps based on artificial intelligence techniques.