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Integration of game technology, digital twins of buildings and real-life indoor navigation app for cartographical research purposes

Year: 2025
Type: article
Abstract: Nowadays, we are collecting increasingly large amounts of data, including spatial data about building interiors, which are often complex 3D models.The effective presentation of such data to users is a task entrusted to cartography, which continues to face evolving challenges.Research on map perception and the readability of cartographic communication in practical applications is essential (Bartling et al., 2023).Therefore, a virtual research environment was proposed for this purpose (Gotlib et al., 2023).Within this environment, digital models of university buildings (Digital Twin) were embedded to make their actual use possible for research related to testing localization and navigation applications.Thanks to game technology, we can create valuable simulators that, on the one hand, reflect the building with very high accuracy and, on the other hand, effectively simulate the movement of a person navigating the building and aiming to reach a designated destination in an optimal way.Recent research highlights that user-centered approaches and cognitive mapping are crucial for effective indoor navigation, yet many technical solutions lack validation against real-world user behaviors and preferences.For example, studies using crowdsourced route descriptions have shown that users often select paths differing from algorithmic optima, especially in complex multi-level buildings (Zhan et al., 2024).Furthermore, open science surveys (Anagnostopoulos et al., 2024).reveal that reproducibility remains a significant challenge in indoor positioning, with few studies providing open data and code for validation.Our approach addresses these gaps by enabling reproducible experiments and realistic user behaviour analysis within a flexible simulation environment.
DOI: 10.5194/ica-abs-10-179-2025
Language: English
Open Access status: diamond
OpenAlex ID: W4417300180
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