Personalized Information Retrieval for Touristic Attractions in Augmented Reality
Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus H. Groß · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining · 2022
The rapid advances and increasing accessibility of augmented reality (AR) in recent years opened up many new possibilities to incorporate AR into our daily lives. A very interesting area for AR is tourism where one can enhance attractions with virtual elements and provide tourists with additional information about the places they are visiting. In this paper, we present our prototype, an AR application that augments various points of interest (POIs) by showing images and facts about each POI. We also developed a simple recommender system that ensures the facts are selected based on user preferences, thus creating a unique and personalized experience for each user. Furthermore, we also conducted a live user study to assess the usability of our prototype and the usefulness of our personalization system.