Fuzzy-Based Virtual Reality System for Cultural Heritage: Enhancing User Interaction and Experience Through Contextual Assistive Messaging
Christos Troussas, Christos Papakostas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou
Abstract
The article highlights the need for enhanced user interaction and personalization in virtual reality (VR) systems for cultural heritage. As cultural sites become accessible through VR, delivering meaningful and tailored user experiences is crucial for effective learning and engagement. Traditional VR systems often fail to address varying levels of user expertise, limiting the accessibility of cultural content. To solve this, the study introduces SculptMate, a fuzzy logic-based VR system that estimates user proficiency in computers and VR, delivering context-sensitive assistive messages. In a study with 64 participants, SculptMate was compared to a standard VR system. Results demonstrated significantly higher engagement and comprehension of cultural artifacts with SculptMate, offering a personalized, immersive experience. The study emphasizes the potential of integrating fuzzy logic into VR to improve educational outcomes and user satisfaction. Future enhancements include dynamic machine learning, multisensory components, and platform optimization for broader accessibility and better user experiences.