# Personality and Behavior in Role-based Online Games

**Authors:** Zhao Wang, Anna Sapienza, Aron Culotta, Emilio Ferrara

arXiv: 1905.08418 · 2019-05-22

## TL;DR

This study explores how players' personality traits influence their in-game roles and behaviors in League of Legends, revealing significant correlations and offering insights into personality-behavior dynamics in online gaming.

## Contribution

It introduces a novel analysis linking Five Factor Model personality traits to specific game behaviors and roles using linear mixed effects models in a popular MOBA game.

## Key findings

- Significant correlations between personality traits and game behaviors
- Role attributes can be predicted from match behaviors
- Personality influences role selection and in-game actions

## 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.

## Full text

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## Figures

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## References

7 references — full list in the complete paper: https://tomesphere.com/paper/1905.08418/full.md

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Source: https://tomesphere.com/paper/1905.08418