In order to maximize user engagement, comfort, and performance, this study investigates the intricate relationships that exist between people and virtual reality (VR) settings. It does this by illuminating the design concepts and user experience elements that influence immersive interactions. This study examines the cognitive, emotional, and behavioral elements of VR user experiences using a combination of methodologies, including literature studies, user surveys, usability testing, and expert analysis. The results highlight important issues and areas for development. Critical design concepts are revealed by the findings, which inspire the creation of evidence-based design standards and emphasize user-centered design, contextual feedback, adaptive interfaces, intuitive interaction, spatial awareness, and cognitive load management. Navigation issues, visual fatigue, accessibility obstacles, and restricted controller capability are examples of usability issues. This study adds to the expanding field of virtual reality (VR) HCI by offering academics, developers, and designers insightful information. In the fields of education, healthcare, entertainment, and architecture, well-designed VR HCI improves user satisfaction, patient engagement, and learning results. Investigating VR HCI for a range of demographics, creating advanced interaction strategies, and examining the role of AI in VR HCI design are some future study avenues. Designers can produce intuitive, captivating, and inclusive VR experiences by comprehending human behavior, cognition, and emotion. The results drive the creation of evidence-based design standards that prioritize contextual feedback systems, user-centered design principles, and adaptive interfaces that are specific to the peculiarities of virtual reality. This research analyzes important elements influencing VR user experiences, such as intuitive interaction design, spatial awareness, cognitive load management, and emotional resonance, using a mixedmethods approach that combines literature studies, user surveys, usability testing, and expert analysis.
Volume 17 | Issue 1
Pages: 120-125