Abstract
The gaming industry had rapidly been expanding globally, where it encompasses more than the purpose of recreational and increasingly becomes more immersive and engaging, and potentially leads to pathological gaming behaviors that lead to addiction. Such experience of engagement and addiction involves understanding the fundamental functions of the human mind’s dynamic state. This study uncovers the mind’s underlying physics via the analogy of motion (i.e., mass, velocity, etc.) using games as the source of information. This study also conjectures that the law of conservation in mind occurred in games where momentum and energy were conserved over time, where game-playing experience relative to the gambling psychology and perceptive force were identified from the objective and subjective perspectives. It was found that momentum conservation provides new engagement measures while energy conservation, considering several other factors, provides the necessary components of understanding the addiction mechanism in the game-playing context. This measurement is examined in various domains, such as popular boards and sports games, and public gambling, where its effectiveness is determined.
Highlights
The gaming industry is an industry that undergoes continuous innovation and rapidly expands on a global scale [45]
Such a concept bridges the gaps on the psychological studies by naturally defining elusive mechanisms of engagement and addiction by adopting its correspondence in physical phenomenon based on gaming activity
CONCLUDING REMARKS This study had investigated the mechanisms of addiction and engagement in games from both objective and subjective perspectives
Summary
The gaming industry is an industry that undergoes continuous innovation and rapidly expands on a global scale [45]. The gaming activities’ behavioral and psychological aspects are analyzed to uncover its underlying mechanism based on such concept, in the scopes of engagement and addiction Such a concept bridges the gaps on the psychological studies by naturally defining elusive mechanisms of engagement and addiction by adopting its correspondence in physical phenomenon based on gaming activity. The computing data were collected via self-play AI agents, while the play statistics data for the sports and public gambling games were collected from public or official sports websites (see Section V for details) To this end, this study’s objective involves exploring the extent to which the notion of energy is conserved over time in games can reliably estimate the mechanisms of engagement and addiction, both in the behavioral and psychological aspects of game-playing experiences, as well as identifying their possible implications (Section VI). Such condition had provided the possibility of a loose parallel with machine learning (data-driven) and symbolic reasoning (knowledgedriven) in the artificial intelligence field [9]
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