Immersive Training Simulation: Exploring Two Narrative Approaches
2026 (English)In: Simulation and Modeling Methodologies, Technologies and Applications: 14th International Conference, SIMULTECH 2024 Dijon, France, July 9—11, 2024 Revised Selected Papers / [ed] Gerd Wagner; Frank Werner; Floriano De Rango, Cham: Springer, 2026, 1, p. 182-209Chapter in book (Refereed)
Abstract [en]
In high-stakes professions such as that of negotiators and pilots, simulations are frequently employed as a risk-free training tool to facilitate the refinement of skills and decision-making abilities. While traditional simulations are effective, they are resource-intensive. In contrast, computer-based simulations offer scalability but may lack realism and sensory engagement. This study examines the potential of mobile phones in simulation-based learning, with a particular focus on a 3D hostage-taking scenario designed to enhance immersion through realistic interactions. By integrating a detailed environment and interactive elements, this approach demonstrates the potential of mobile technology to enhance the realism and engagement of training. Furthermore, the emergence of Large Language Models (LLMs) has transformed digital narration by moving beyond the limitations of rigid, time-consuming conversational trees. The traditional methods, which required a considerable degree of multidisciplinary expertise, frequently resulted in disrupted dialogue coherence due to the constraints imposed on the pathways available for communication. However, LLMs enable the creation of dynamic virtual personas from simple descriptions, thereby streamlining content creation and enhancing immersion through their expansive conversational capabilities. This publication reports on a digital hostage-taking simulation that utilised both mobile phones for communication and LLMs for character simulation, thereby highlighting advancements in feasibility and immersion.
Place, publisher, year, edition, pages
Cham: Springer, 2026, 1. p. 182-209
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 1620
Keywords [en]
3D, Chatbot, Decision-making, Dialogue, Hostage-taking, Human-Machine Interface, Immersion, Interactive content, LLM, Multimodal systems, Natural language processing, Negotiation, Virtual Reality, Artificial intelligence, Behavioral research, Computational linguistics, Human computer interaction, Interactive computer systems, Interactive devices, Man machine systems, Natural language processing systems, Personnel training, Speech processing, Chatbots, Decisions makings, Dialog, Human Machine Interface, Interactive contents, Language model, Language processing, Large language model, Multimodal system, Natural languages, Decision making
National Category
Human Computer Interaction Information Systems Information Systems, Social aspects
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-26014DOI: 10.1007/978-3-032-04777-9_10ISI: 001708911600010Scopus ID: 2-s2.0-105021834969ISBN: 978-3-032-04776-2 (print)ISBN: 978-3-032-04777-9 (electronic)OAI: oai:DiVA.org:his-26014DiVA, id: diva2:2017036
Conference
Simulation and Modeling Methodologies, Technologies and Applications: 14th International Conference, SIMULTECH 2024 Dijon, France, July 9—11, 2024
Note
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026
Correspondence Address: S. Gobron; HE-Arc School of Engineering, University of Applied Sciences and Arts Western Switzerland (HES-SO), Neuchâtel, Espace de l’Europe 11, Switzerland; email: stephane.gobron@he-arc.ch
2025-11-272025-11-272026-05-22Bibliographically approved