Towards Identifying Visitor Types in Virtual Museums Using Spatial and Interaction Data
Filippos Panos, George E. Raptis, Christina Katsini, Christos Katsanos · 2024
Understanding the visitors’ behaviors can shape more immersive museum visits by providing personalized experiences. The first step to providing personalized experiences is to identify visitor types with common visit behavior characteristics. Several attempts have been made with promising results focusing on physical museums. Given the rise of virtual museum visits, in this paper, we take the first step toward identifying visitor types in virtual museums. To this end, we leverage data captured while visitors move within a virtual museum and interact with its exhibits. Using a machine learning approach, we identified four well-defined and distinct clusters that describe different types of virtual museum visitors.