Exploration of Delays and Tonality for LLM-powered Game Narrators

dc.contributor.authorLind, Arlonsompoon P.en_US
dc.contributor.authorLind, Jonas B.en_US
dc.contributor.authorSørensen, Mads W.en_US
dc.contributor.authorJacobsen, Rasmus V.en_US
dc.contributor.authorWhitehead, Sebastian M.en_US
dc.contributor.authorNikolov, Ivanen_US
dc.contributor.editorJorge, Joaquim A.en_US
dc.contributor.editorSakata, Nobuchikaen_US
dc.date.accessioned2025-11-26T09:21:47Z
dc.date.available2025-11-26T09:21:47Z
dc.date.issued2025
dc.description.abstractAs Large Language Models (LLMs) are becoming more widely spread as part of games and interactive media, more research is needed in introducing them in areas where they can provide deeper immersion, interactivity, and customization. The role of LLMs as storytellers and narrators has the potential for just that however, not enough research has been done focusing on how users react to real-time storytelling by AI. In this research, we test several factors associated with integrating LLM narrators in an interactive experience. Namely, acceptable narration delay for intentional and unintentional user-triggered interactions, for exploration of an environment, and in connection with the importance of the objects in the environment, and finally, how these factors are connected to user perception of LLM narration tonality in a VR historical setting. As part of the results, we provide recommendations for acceptable delays in narration, connecting narration to objects, and the choice of tonality of the LLM.en_US
dc.description.sectionheadersLarge Language Model (LLM)
dc.description.seriesinformationICAT-EGVE 2025 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.identifier.doi10.2312/egve.20251348
dc.identifier.isbn978-3-03868-278-3
dc.identifier.issn1727-530X
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/egve.20251348
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egve20251348
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Virtual reality; Mixed / augmented reality; User studies; Auditory feedback; Hardware → Tactile and hand-based interfaces; Computer systems organization → Neural networks
dc.subjectHuman centered computing → Virtual reality
dc.subjectMixed / augmented reality
dc.subjectUser studies
dc.subjectAuditory feedback
dc.subjectHardware → Tactile and hand
dc.subjectbased interfaces
dc.subjectComputer systems organization → Neural networks
dc.titleExploration of Delays and Tonality for LLM-powered Game Narratorsen_US
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
egve20251348.pdf
Size:
16.98 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
paper1001.mp4
Size:
49.04 MB
Format:
Video MP4
Collections