Personalized Point of Interest in Location-Based Augmented Reality Tourism Application

In recent years, the rapid growth of the tourism industry and increasing demand for efficient and meaningful travel experiences have highlighted the need for smarter travel assistance tools. Many tourists, particularly first-time visitors, often face challenges navigating unfamiliar destinations and identifying relevant points of interest, leading to delays, inconvenience, and reduced satisfaction. During the peak tourist season, most local hotels and restaurants are overcrowded, and tourists have to find accommodation and food in unfamiliar places, which reduces their travel efficiency and experience. To address these challenges, this study proposes the PutrajayAR, a personalized Location-Based Augmented Reality (LBAR) tourism application designed to enhance tourists’ efficiency and overall travel experience. The application provides AR Discovery and AR Recommendation features that dynamically present personalized points of interest based on user preferences, spatial proximity, and contextual constraints. The system was developed using the waterfall model and evaluated through black box testing, usability testing, and persuasive design assessment. The results demonstrate that PutrajayAR significantly improves user experience and satisfaction compared to non-personalized approaches, thereby validating the effectiveness of personalized LBAR systems in helping users navigate effectively and discover attractions that match their interests.

@article{Abidin2025,
  title     = {Personalized Point of Interest in Location-Based Augmented Reality Tourism Application},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {12},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Rimaniza Zainal Abidin and Ma Boqi and Rosilah Hassan and Nor Shahriza Abdul Karim and Mohamad Hidir Mhd Salim},
  doi       = {10.14569/IJACSA.2025.0161282},
  url       = {https://doi.org/10.14569/IJACSA.2025.0161282}
}