Motivational Landscapes of ARG Players: A Self-Determination Theory Perspective

Abstract

This study introduces a taxonomy for categorizing participants based on Self- determination theory in Alternate Reality Games (ARGs). The taxonomy emerges from a comprehensive analysis of player motivations and behaviors within a self- designed ARG project in China. By scrutinizing game website logs, chat group interactions, and employing a player motivation questionnaire, this mixed-method exploration sheds light on player behaviors and motivations, based on the Self- determination theory(SDT). Through this study, a new ARG player taxonomy system driven by player's motivation are built. This research contributes to a clear comprehension of the unique realm of ARGs, offering insights valuable to both designers and scholars.