@inproceedings{7d5b25820d804d48b2897acbabda9fb1,
title = "Personality and behavior in role-based online games",
abstract = "Both offline and online human behaviors are affected by personality. Of special interests are online games, where players have to impersonate specific roles and their behaviors are extensively tracked by the game. In this paper, we propose to study the relationship between players' personality and game behavior in League of Legends (LoL), one of the most popular Multiplayer Online Battle Arena (MOBA) games. We use linear mixed effects (LME) models to describe relationships between players' personality traits (measured by the Five Factor Model) and two major aspects of the game: the impersonated roles and in-game actions. On the one hand, we study relationships within the game environment by modeling role attributes from match behaviors and vice versa. On the other hand, we analyze the relationship between a player's five personality traits and their game behavior by showing significant correlations between each personality trait and the set of corresponding behaviors. Our findings suggest that personality and behavior are highly entangled and provide a new perspective to understand how personality can affect behavior in role-based online games.",
keywords = "Game behavior, Online role-based, Personality",
author = "Zhao Wang and Anna Sapienza and Aron Culotta and Emilio Ferrara",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Conference on Games, CoG 2019 ; Conference date: 20-08-2019 Through 23-08-2019",
year = "2019",
month = aug,
doi = "10.1109/CIG.2019.8848027",
language = "English",
series = "IEEE Conference on Computatonal Intelligence and Games, CIG",
publisher = "IEEE Computer Society",
booktitle = "IEEE Conference on Games 2019, CoG 2019",
address = "United States",
}