Interactive Storytelling Apps: Increasing Immersion and Realism with Artificial Intelligence?
2024 (English)In: Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications / [ed] Floriano De Rango; Frank Werner; Gerd Wagner, SciTePress, 2024, p. 250-257Conference paper, Published paper (Refereed)
Abstract [en]
The advent of Large Language Models (LLMs) has revolutionized digital narration, moving beyond the rigid and time-consuming process of creating conversational trees. These traditional methods required significant multidisciplinary expertise and often disrupted dialogue coherence due to their limited pathways. With LLMs character simulation seems to become accessible and coherent, allowing the creation of dynamic personas from text descriptions. This shift raises the possibility of streamlining content creation, reducing costs and enhancing immersion with interactive dialogues through expansive conversational capabilities. To address related questions, a digital hostage-taking simulation was set up, and this publication reports the results obtained both on the feasibility and on the immersion aspects. This paper is proposed as a twin paper detailing the implementation of a simulation that use an actual mobile phone to communicate with the hostage-taker.
Place, publisher, year, edition, pages
SciTePress, 2024. p. 250-257
Series
SIMULTECH International Conference on Simulation and Modeling Methodologies, Technologies and Applications, ISSN 2184-2841
Keywords [en]
Chatbot, Decision-Making, Dialogue, Hostage-Taking, Immersion, Interactive Content, LLM, Multimodal Systems, Natural Language Processing, Negotiation, Virtual Reality, Computer simulation languages, Digital elevation model, Chatbots, Decisions makings, Dialog, Interactive contents, Language model, Language processing, Large language model, Multimodal system, Natural languages, Natural language processing systems
National Category
Information Systems Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-24510DOI: 10.5220/0012720400003758Scopus ID: 2-s2.0-85203272116ISBN: 978-989-758-708-5 (print)OAI: oai:DiVA.org:his-24510DiVA, id: diva2:1897141
Conference
SIMULTECH 2024 - 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Dijon, France 10-12 july 2024
Note
CC BY-NC-ND 4.0
© 2024 by SCITEPRESS – Science and Technology Publications, Lda.
2024-09-122024-09-122024-11-13Bibliographically approved