| Title: |
AI-Enabled Cultural Experiences: A Comparison of Narrative Creation Across Different AI Models |
| Authors: |
Angeliki Antoniou; Anastasios Theodoropoulos; Artemis Chaleplioglou; Elina Roinioti; Panagiotis Dafiotis; George Lepouras; Paraskevi Chalari; Gaja Gujt; Irene Lamprou; Catarina Sousa |
| Source: |
Electronics ; Volume 14 ; Issue 20 ; Pages: 4043 |
| Publisher Information: |
Multidisciplinary Digital Publishing Institute |
| Publication Year: |
2025 |
| Collection: |
MDPI Open Access Publishing |
| Subject Terms: |
cultural heritage; AI tools; cultural experiences; narratives; virtual worlds; CAVE environments |
| Description: |
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. |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
Computer Science & Engineering; https://dx.doi.org/10.3390/electronics14204043 |
| DOI: |
10.3390/electronics14204043 |
| Availability: |
https://doi.org/10.3390/electronics14204043 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.D2074C93 |
| Database: |
BASE |