Past Meets Future: Human-AI Interaction for Digital History and Cultural Heritage

Kurt Luther, Vikram Mohanty, Benjamin Charles Germain Lee, Ioanna Lykourentzou

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Digital History and Cultural Heritage encapsulate invaluable societal narratives, yet scholars and practitioners face challenges in data quality, accessibility, and engagement. Human-AI Interaction (HAI) holds promise to address these challenges, fostering enhanced analysis, discoverability, and storytelling at scale. However, its potential remains largely untapped by the HAI community. This workshop aimed to bridge this gap, inviting inviting scholars and practitioners from fields such as human-computer interaction (HCI), artificial intelligence (AI), history, cultural heritage, and GLAMs (galleries, libraries, archives, and museums) to explore innovative HAI methodologies and frameworks tailored to these domains. Through interdisciplinary dialogue, we aimed to propose tractable solutions, enriching both the Digital History and Cultural Heritage sectors, as well as the HAI field, while nurturing a fertile ground for historical storytelling and meaningful engagement with our shared past.

Original languageEnglish
Title of host publicationCompanion Proceedings of 29th International Conference on Intelligent User Interfaces, IUI 2024
PublisherAssociation for Computing Machinery
Pages127-130
Number of pages4
ISBN (Electronic)9798400705090
DOIs
Publication statusPublished - 5 Apr 2024
Event29th International Conference on Intelligent User Interfaces, IUI 2024 - Greenville, United States
Duration: 18 Mar 202421 Mar 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference29th International Conference on Intelligent User Interfaces, IUI 2024
Country/TerritoryUnited States
CityGreenville
Period18/03/2421/03/24

Bibliographical note

Publisher Copyright:
© 2024 Owner/Author.

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