A study on improving in-game user-NPC interaction through prompt engineering using interpersonal relationship type

The current metaverse industry is experiencing a rapid increase in demand due to the development of artificial intelligence(AI) technology and the spread of non-face-to-face lifestyles. However, users do not see much difference between the interaction between non-player characters(NPCs) and users in metaverse games and existing general games. In addition, it is difficult for users to immerse themselves. We proposes a method to improve the interaction between users and NPCs to enhance immersion in metaverse games. This method analyzes real-world human interpersonal patterns and applies prompt engineering techniques to train generative AI. Users can naturally converse with NPCs based on the trained generative AI, providing an experience similar to that of a real person. This method clearly defines the NPC concept for generative AI and minimizes illusions, creating an environment where NPCs can naturally engage users in conversation.

Authors

Publication Details

Journal
Korean Institute of Smart Media
Published
2025-08-29
DOI
https://doi.org/10.30693/smj.2025.14.8.110
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

A study on improving in-game user-NPC interaction through prompt engineering using interpersonal relationship type

Chaeyun Seo, Byung Kook Jeon, W. Jang, Young Chul Kim
Korean Institute of Smart Media
Education and Learning Interventions
article

A study on improving in-game user-NPC interaction through prompt engineering using interpersonal relationship type

Chaeyun Seo, Byung Kook Jeon, W. Jang, Young Chul Kim
article en

Abstract

The current metaverse industry is experiencing a rapid increase in demand due to the development of artificial intelligence(AI) technology and the spread of non-face-to-face lifestyles. However, users do not see much difference between the interaction between non-player characters(NPCs) and users in metaverse games and existing general games. In addition, it is difficult for users to immerse themselves. We proposes a method to improve the interaction between users and NPCs to enhance immersion in metaverse games. This method analyzes real-world human interpersonal patterns and applies prompt engineering techniques to train generative AI. Users can naturally converse with NPCs based on the trained generative AI, providing an experience similar to that of a real person. This method clearly defines the NPC concept for generative AI and minimizes illusions, creating an environment where NPCs can naturally engage users in conversation.

Korean Institute of Smart MediaVol. 14(8)
Openalex Percentile: Top 66%
Education and Learning Interventions
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A study on improving in-game user-NPC interaction through prompt engineering using interpersonal relationship type — Chaeyun Seo, Byung Kook Jeon, et al. · Korean Institute of Smart Media (2025) | TGRS Research Map | TGRS