This research establishes a foundational taxonomy for inventory systems in virtual reality (VR) games, addressing the gap between the increasing complexity of VR environments and the limitations of current interface design. The primary thesis posits that effective VR inventory systems must balance four critical factors: comprehensibility, interactivity, contextual embedding, and personalization. By decomposing inventories into atomic building blocks—specifically interface type, item representation, item arrangement, and interaction methods—the study provides a structured framework for developers to design more immersive and usable storage solutions.
To validate this taxonomy, three distinct inventory prototypes were developed: a Flat Grid (2D overlay), Virtual Drawers (3D shelf), and a Magnetic Surface (free-form physical placement). These were evaluated through a qualitative study involving eight participants who interacted with the systems within a simulated construction environment. The methodology utilized a think-aloud process to capture user feedback on usability, immersion, and preference.
Key findings indicate that while traditional 2D grid interfaces are perceived as efficient for loot-heavy games, users significantly prefer systems that prioritize natural, physical interaction. The Magnetic Surface emerged as the most favored design, as participants valued the agency provided by free-form, scale-preserving object placement. The study also identified common challenges, such as the occlusion of the virtual environment by inventory interfaces and the desire for more intuitive, gesture-based item manipulation. Ultimately, the research concludes that moving away from abstract, button-based interactions toward physical, spatial engagement is essential for enhancing player presence and satisfaction in VR, suggesting that future design efforts should focus on refining these naturalistic interaction models.
