Mental State Transition in Gaming Experiences

Authors

  • Hao Wang
  • Chun-Tsai Sun

Keywords:

gaming experience, behavior analysis, mental model

Abstract

Theories about sources of fun from video gaming have been developed, such as challenge, reward, learning, growth, immersion, etc. Currently, there is not much work that integrates them. In this paper, we propose a model that describes the dynamics of gamers’ experiences and behaviors utilizing these theories. Experiences and behaviors are presented as mental states in the model, and we analyze the forces that pulls/repels players into/from each of the states. This study is cross game genre: single player, multiplayer, and team match games are included in the framework. We found that reward mechanics and mental efforts are forces that drives state transition. We also believe that players do not stay in certain states for long: dynamic balances and state transitions are essential in keeping long-term gaming experiences.

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Published

2020-01-01

Bibtex

@Conference{digra1173, title ="Mental State Transition in Gaming Experiences", year = "2020", author = "Wang, Hao and Sun, Chun-Tsai", publisher = "DiGRA", address = "Tampere", howpublished = "\url{https://dl.digra.org/index.php/dl/article/view/1173}", booktitle = "Proceedings of DiGRA 2020 Conference: Play Everywhere"}