The Effects of Self-Learning Generative AI NPCs on Player Game Immersion and Loyalty: The Mediating Role of Game Immersion
Abstract
With the growing use of generative artificial intelligence in digital games, whether AI-driven non-player characters (NPCs) can improve player experience and further shape continued play intention has become an important question for game design and user research. This study examines whether self-learning generative AI NPCs influence game loyalty through game immersion. A quasi-experimental between-subjects design and a retrospective questionnaire were used to compare players who had interacted with self-learning generative AI NPCs in the past three months with players who had only interacted with traditional scripted NPCs. Based on 195 valid responses, the AI NPC group reported significantly higher game immersion and game loyalty than the traditional NPC group. Mediation analysis using PROCESS Model 4 further showed that game immersion significantly mediated the relationship between NPC type and game loyalty. The findings suggest that the value of generative AI NPCs lies not only in the technology itself, but also in whether adaptive and natural interaction can enhance immersion and thereby relate to continued play and recommendation intention. Given the non-random grouping and self-reported data, the findings should be interpreted cautiously.
References
- China Internet Network Information Center. (2023, August 28). The 52nd statistical report on China's internet development.China Internet Network Information Center. https://www.cnnic.cn/
- Cox, S. R., & Ooi, W. T. (2024). Conversational interactions with NPCs in LLM-driven gaming: Guidelines from a content analysis of player feedback. In A. Følstad, T. Araujo, S. Papadopoulos, et al. (Eds.),Chatbot research and design: 7th international workshop, CONVERSATIONS 2023, revised selected papers, Springer, 167-184.
- Liu, J. J. (2024). Does the inclusion of AI NPCs enhance user gameplay experience and immersion?Theory and Practice of Science and Technology, 5(1), 11-15.
- Galingana, C. D., & Cagadas, R. B. (2023). Enticing player-NPC dialogue system in a visual novel game using intent recognition with BERT.East Asian Journal of Multidisciplinary Research, 2(7), 2999-3014.
- Yu, G., Cao, Z., & Cho, N. (2024). Analyzing the effects of anthropomorphism in NPCs applied by GPT on user satisfaction and loyalty.Journal of Information Technology Applications and Management, 31(4), 121-136.
- Choi, D., & Kim, J. (2004). Why people continue to play online games: In search of critical design factors to increase customer loyalty to online contents.CyberPsychology & Behavior, 7(1), 11-24.
- Su, Y. S., Chiang, W. L., Lee, C. T. J., & Chang, H. C. (2016). The effect of flow experience on player loyalty in mobile game application.Computers in Human Behavior, 63, 240-248.
- Csikszentmihalyi, M. (1997).Finding flow: The psychology of engagement with everyday life. Basic Books.
- Ding, Q., Zhou, Z. K., Zhang, Y. X., Wei, H., & Xiong, J. (2018). The influence of customization and immersion on online game loyalty: From the perspective of players.Studies of Psychology and Behavior, 16(2), 261-265.
- Zhang, J. (2007).The influence of player interaction behavior on loyalty in role-playing online games[Master's thesis, Zhejiang University].
- Hayes, A. F. (2013).Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press.
- Gallotta, R., Todd, G., Zammit, M., et al. (2024). Large language models and games: A survey and roadmap.IEEE Transactions on Games.