Distributed Technology-Sustained Pervasive Applications
Kim J.L. Nevelsteen

TL;DR
This paper explores how game engine architectures can be adapted for distributed, technology-sustained pervasive applications, integrating IoT, mixed reality, and context-aware computing to extend beyond traditional pervasive games.
Contribution
It introduces a design science approach to develop and evaluate three software architectures for pervasive applications, addressing the integration of IoT and non-standard input devices.
Findings
Three software architectures for pervasive applications were designed and demonstrated.
Game engine principles can be adapted for broader pervasive application support.
IoT integration significantly influences pervasive application architecture design.
Abstract
Technology-sustained pervasive games, contrary to technology-supported pervasive games, can be understood as computer games interfacing with the physical world. Pervasive games are known to make use of 'non-standard input devices' and with the rise of the Internet of Things (IoT), pervasive applications can be expected to move beyond games. This dissertation is requirements- and development-focused Design Science research for distributed technology-sustained pervasive applications, incorporating knowledge from the domains of Distributed Computing, Mixed Reality, Context-Aware Computing, Geographical Information Systems and IoT. Computer video games have existed for decades, with a reusable game engine to drive them. If pervasive games can be understood as computer games interfacing with the physical world, can computer game engines be used to stage pervasive games? Considering the use…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · Modular Robots and Swarm Intelligence
