AI-Enabled Cultural Experiences: A Comparison of Narrative Creation Across Different AI Models
The recent rapid developments in the field of artificial intelligence (AI) indicate that it is an extremely dynamic field that is constantly evolving and penetrating all levels of human activity. The cultural sector therefore cannot remain unaffected. In this paper, we explore how artificial intelligence can collaborate with museum and cultural heritage professionals to create optimal cultural experiences for visitors, as a starting point for student training on AI tools. Starting with a search for appropriate large language models, students tested various tools to determine the most suitable tool for cultural content management. They then connected common elements found across different cultural spaces to construct specific and emotional narratives. The students also explored ways in which artificial intelligence tools can go beyond the creation of narratives and create entire virtual worlds for use in CAVE environments. Thus, the present work studies a wide spectrum of possible uses of AI in the cultural domain, spanning from the creation of engaging narratives to the creation of engaging virtual worlds, with the goal of introducing students to the challenges and potential of generative AI.
Authors
- Elina Roinioti (ORCID: https://orcid.org/0000-0003-4265-5032)
- Artemis Chaleplioglou (ORCID: https://orcid.org/0000-0002-6519-7428)
- Panagiotis Dafiotis (ORCID: https://orcid.org/0000-0002-1103-8923)
- George Lepouras (ORCID: https://orcid.org/0000-0001-6094-3308)
- Catarina Carneiro de Sousa (ORCID: https://orcid.org/0000-0001-7706-6225)
- Αναστάσιος Θεοδωρόπουλος (ORCID: https://orcid.org/0000-0002-0143-4228)
- Angeliki Antoniou (ORCID: https://orcid.org/0000-0002-3452-1168)
- Paraskevi Chalari
- Gaja Gujt
- Irene Lamprou
Institutions
- University of Peloponnese (GR)
- Aristotle University of Thessaloniki (GR)
- University of Maribor (SI)
- University of West Attica (GR)
- Universidade Politécnica de Portalegre (PT)
Publication Details
- Journal
- Electronics
- Published
- 2025-10-14
- DOI
- https://doi.org/10.3390/electronics14204043
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of West Attica
- Erasmus+