Impact of Non-Player Characters on the Gaming Experience: Simulation Game vs. Competitive Exergame

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dc.contributor.authorMiranda, Nadia Montañaen_US
dc.contributor.authorChover, Miguelen_US
dc.contributor.editorArgudo, Oscaren_US
dc.contributor.editorIparraguirre, Olatzen_US
dc.date.accessioned2025-05-26T07:07:23Z
dc.date.available2025-05-26T07:07:23Z
dc.date.issued2025
dc.description.abstractNon-player characters (NPCs) play a crucial role in the gaming experience and should be designed to suit the characteristics of each game genre. This study examines the impact of AI-driven NPCs on player experience by comparing their impact in a hospital management simulation game and in a competitive exergame called Fitoon. In the simulation game, a needs-based AI system was implemented, where agents autonomously make decisions based on their internal states, such as hunger or stress. In Fitoon, machine learning techniques, including reinforcement and imitation learning, were applied to train agents capable of competing against players in obstacle races. Through user testing utilizing the In-Game version of the Game Experience Questionnaire, this study examines how the presence of these NPCs influences the players' perception of the gaming experience in both contexts. The results indicate that while NPCs in the simulation game have a greater impact on reducing feelings of tedium and boredom, in the exergame, they significantly increase the sense of challenge.en_US
dc.description.sectionheadersFull Papers
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.identifier.doi10.2312/ceig.20251108
dc.identifier.isbn978-3-03868-284-4
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/ceig.20251108
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/ceig20251108
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Artificial intelligence; Multi-agent systems; Intelligent agents; Machine learning; Learning from demonstrations; Reinforcement learning; Human-centered computing → HCI design and evaluation methods; Software and its engineering → Interactive games;
dc.subjectComputing methodologies → Artificial intelligence
dc.subjectMulti agent systems
dc.subjectIntelligent agents
dc.subjectMachine learning
dc.subjectLearning from demonstrations
dc.subjectReinforcement learning
dc.subjectHuman centered computing → HCI design and evaluation methods
dc.subjectSoftware and its engineering → Interactive games
dc.titleImpact of Non-Player Characters on the Gaming Experience: Simulation Game vs. Competitive Exergameen_US
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