Using Games to Study Law of Motions in Mind

Abstract

The development of games had been seen as an essential field of study in artificial intelligence. Although game concepts have been adopted in various problem domains, understanding the nature of game playing's underlying mechanism has been limited. This study investigates such a mechanism by adopting a logistic model of game outcome uncertainty where a measure of game refinement had been derived. Application of such a measure to the popular board and sports games have been conducted to determine its implication in determining sophisticated design and has defined the harmonic balance between skill and chance. A theoretical analysis using practical data confirms the effectiveness of the proposed model, where reasonable game length is determined based on the definition of a gamified experience. The model is further expanded with the analogy of physics in mind. The law of motions in the game is formalized by considering the derivatives of the game progress model, where the link between game refinement theory and flow theory is identified and discussed. In essence, the sophisticated game's underlying mechanism leads to a more natural yet pleasurable human experience.

Bridging Ride and Play Comfort

“…Analogical links between motions in physics and motions in mind had been previously established based on the notions of winning rate (or velocity) v and winning hardness m [8]. The correspondence between the physics model and the game progress models is established as in Table 1.…”

“…Such correspondence enables physics in mind in various games, specifically on three quantities: potential energy, momentum and force. The momentum ( p) in the game refers to the competitive balance of a game, which involves the degree of challenge needed (m) and effort given (v) to drive the game progression [8], given by (1). Meanwhile, the potential energy (E p ) in the game is defined as the game playing potential or the expected game information required to finish a game [8].…”

“…The momentum ( p) in the game refers to the competitive balance of a game, which involves the degree of challenge needed (m) and effort given (v) to drive the game progression [8], given by (1). Meanwhile, the potential energy (E p ) in the game is defined as the game playing potential or the expected game information required to finish a game [8]. It was derived from the analogy of gravitational potential energy given by (3), where the analogical link was adopted by linking kinematics formula of displacement h = y = 1 2 at 2 and g = a, resulting into (3).…”

“…Tracing the relevant changes of such a roller coaster model was analyzed in the context of both natural physics and game refinement (GR) theory [3]. GR theory regards perfecting the game-playing experience [4,5] and finding ideal game settings [6,7], serving as the foundation that bridges natural physics and physics in mind (called motion in mind [8]). As such, a better understanding of the underlying mechanisms and regulations of human life can be established; moreover, new applications of GR theory present themselves.…”

“…This study's primary goal is to expand the horizon of riding comfort by bridging play comfort to physical performance and mental experience via roller coasters. The motivation to consider a roller coaster as the target for this research is that it provides the necessary facility to achieve such a purpose, adopting the motion in mind concept proposed by Iida and Khalid [8]. The contribution of this study is twofold.…”