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

Laato Samuli, Sampsa Rauti, Antti Laato, Teemu H. Laine, Erkki Sutinen, Erno Lehtinen

Research output: Contribution to journalArticleScientificpeer-review

Abstract

: 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
Original languageEnglish
Article number129
Pages (from-to)1-15
Number of pages15
JournalSensors
Volume21
Issue number1
DOIs
Publication statusPublished - 28 Dec 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • location-based applications
  • pervasive games
  • education
  • history
  • edge computing
  • crowdsourcing
  • point of interest

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