
This research investigates the potential of integrating eye-tracking technology with finite state machines (FSMs) to enhance gameplay control in 2D platform games. The purpose of this study is to develop and evaluate a gaze-based control system for 2D platform games, addressing the need for more inclusive gaming experiences. By utilizing eye gaze as an input method, the proposed system aims to provide a more inclusive gaming experience for individuals with and without disabilities. The methodology involves the development of a 2D platform game that captures eye gestures and translates them into game actions, using FSMs to interpret complex eye movements and map them to specific game commands. Through extensive playtesting with 34 participants, the findings demonstrate the feasibility of the proposed system, indicating that it allows for intuitive and smooth control of game characters. The originality of this work lies in the specific integration of eye-tracking with FSMs for 2D platform control, with a focus on minimizing unintended actions and enabling smooth transitions between gameplay and information gathering. The impact of this research is the potential to expand accessibility in gaming and provide a foundation for future development of gaze-based control systems in various game genres. Future research can explore the potential of applying this approach to a wider range of game genres, further expanding the accessibility and inclusivity of gaming experiences.
QA76.75-76.765, Finite State Machine, Hand disability, Electronic computers. Computer science, QA75.5-76.95, Computer software, Platform Games, Eye-based Control, L, Eye-Tracking, Education
QA76.75-76.765, Finite State Machine, Hand disability, Electronic computers. Computer science, QA75.5-76.95, Computer software, Platform Games, Eye-based Control, L, Eye-Tracking, Education
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