Conflict and Interference Resolution for Physical Annotation Systems

Abstract

Physical Annotation (PA) systems have been widely used in recent years. They help users to annotate the physical entities around them with digital data for different purposes such as education, tourism or personal memories. One of the main problems with the widespread use of PAs is conflict and interference between different annotations for the same entity. Therefore, this paper studies conflict and interference issues in PA systems. The paper first provides a formal definition of PA conflict and interference, and then explains the causes and sources. Based on this, we propose detection techniques and provide policies to resolve conflict and interference in PAs. Finally, we present an implementation of the techniques.

An advanced location-aware physical annotation system: From models to implementation

“…Future work will include more features about detection and resolving interference and collision between annotations and annotated entities as already started in [4].…”

“…It manages annotations linked to collections and virtual groups. (ii) PA Controller: this component controls the PA access; after the system retrieves the annotation from the lower tiers, it manages the interference/collision (if any) [4], and all possible situations that may affect the annotation.We also can view the architecture based on the server and client sides. In our design,…”

“…Nexus [9,10] is one of the most common models that aims to provide a generic platform for ubiquitous computing applications which can be used for indoor or outdoor environments; it includes the physical world and the virtual objects, which means any external digital resources. The main location based models can be categorized into three main groups [1,5]: geometric location models, symbolic location models (hierarchal, topological, descriptive) such as those in [4] Support collision detection and resolving [4] Support image recognition Support for annotating indoor and outdoor objects Support private, shared and public annotations [11,13,16,17] which describe spatial relationships between entities (an example of this type of model is when you describe a room in a floor in a particular building 2 ), and semi-symbolic or hybrid models [8,12]. We have used symbolic models for indoor annotations and geometric GPS coordinates for outdoor annotations.…”