Learning History with Location-Based Applications: An Architecture for Points of Interest in Multiple Layers

Location-based applications (LBAs) capture the user's physical location via satellite navigation sensors and integrate it as part of the digital application. Because of this connection, the real-world environment needs to be accounted for in LBA design. In this work, we focused on creating a database of geographically distributed points of interest (PoIs) that is optimal for learning local history. First, we conducted a requirements elicitation study at three outdoor archaeological sites and identified issues in existing solutions. Second, we designed a multi-layered prototype solution. Third, we evaluated the solution with nine experts who had prior experience with LBAs or similar systems. We incorporated their feedback to our design to iteratively improve it. As a whole, our work contributes to the LBA design literature by proposing a solution that is optimized for the learning of local history.

Automated summary

The study focuses on designing location-based applications optimized for learning local history by creating an optimal database of points of interest. Through requirements elicitation, prototype design, and expert evaluation, the solution was iteratively improved to meet the needs of users with prior experience in LBAs or similar systems.