Agents that relate: Improving the social believability of Non-Player Characters in Role-Playing Games

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Abstract

As the video games industry grows and video games become more part of our lives, we are eager for better gaming experiences. One field in which games still have much to gain is in Non-Player Character behavior in socially demanding games, like Role-Playing Games. In Role-Playing Games players have to interact constantly with very simple Non-Player Characters, with nosocial behavior in most of the cases, which contrasts with the rich social experience that was provided in its traditional pen-and-paper format. What we propose in this paper is that if we create a richer social behavior in Non-Player Characters the player's gaming experience can be improved. In order to attain this we propose a model that has at its core social relationships with/between Non-Player Characters. By doing an evaluation with players, we identified that 80% of them preferred such system, affirming that it created a better gaming experience. © 2009 Springer Berlin Heidelberg.

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APA

Afonso, N., & Prada, R. (2008). Agents that relate: Improving the social believability of Non-Player Characters in Role-Playing Games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5309 LNCS, pp. 34–45). Springer Verlag. https://doi.org/10.1007/978-3-540-89222-9_5

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