Enhancing the study of historical figures through AI-powered interactive data visualizations

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dc.contributor.authorProfeta, Giovannien_US
dc.contributor.authorCornelius, Josephen_US
dc.contributor.authorRinaldi, Fabioen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T19:54:38Z
dc.date.available2025-09-05T19:54:38Z
dc.date.issued2025
dc.description.abstractOne of the most important tasks for a historian is to identify key historical figures across multiple cultural archives and analyze their impact on history. The extensive effort of cultural institutions in digitizing historical archival materials and distributing them through online digital archives have significantly enhanced the study of historical figures. However, current historical digital archives, which rely on keyword-based search methods, often return numerous but imprecise results making it challenging for historians to understand chronological and contextual events surrounding a historical figure. We would like to present the result of the Mini-Muse project. It was a preliminary research project aimed at identifying data visualization models and user-friendly interface features to help historians visually explore historical figures and their actions. The project leverages Natural Language Processing (NLP) algorithms to extract metadata from unstructured text and generate structured data about key figures. It also applies data visualization techniques to support the visual analysis of each figure's timeline. The project adopts a user-centered design approach to ensure that the user interface features meet the needs of historians. It involves a pool of Swiss and Italian historians to gather insights on their research practices and validate a working prototype. The findings of the preliminary research project suggests that the introduction of an ''action flow view'', an interactive timeline displaying the historical figure's actions extracted automatically, can significantly improve the identification and study of historical figures.en_US
dc.description.sectionheadersData Analysis, Datasets and Multimodal Approaches
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253150
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253150
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253150
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Information systems → Web interfaces; Users and interactive retrieval; Digital libraries and archives; Human-centered computing → Human computer interaction (HCI); Graphical user interfaces; Interaction design; Visualization systems and tools; Computing methodologies → Natural language processing
dc.subjectInformation systems → Web interfaces
dc.subjectUsers and interactive retrieval
dc.subjectDigital libraries and archives
dc.subjectHuman centered computing → Human computer interaction (HCI)
dc.subjectGraphical user interfaces
dc.subjectInteraction design
dc.subjectVisualization systems and tools
dc.subjectComputing methodologies → Natural language processing
dc.titleEnhancing the study of historical figures through AI-powered interactive data visualizationsen_US
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