STARE: Semantic Augmented Reality Decision Support in Smart Environments

Abstract

The Internet of Things facilitates real-time decision support within smart environments. Augmented Reality allows for the ubiquitous visualization of IoT-derived data, and AR visualization will simultaneously permit the cognitive and visual binding of information to the physical object(s) to which they pertain. Essential questions exist about efficiently filtering, prioritizing, determining relevance, and adjudicating individual information needs in real-time decision-making. Therefore, this paper proposes a novel AR decision support framework (STARE) to support immediate decisions within a smart environment by augmenting the user's focal objects with assemblies of semantically relevant IoT data and corresponding suggestions.