The evolution of digital technologies has resulted in the emergence of diverse interaction
technologies. In this paper, we conducted a review of seven domains under a human-centric …

Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …

A key issue in the study of Ambient Intelligence is reasoning about context. The aim of
context reasoning is to deduce new knowledge, based on the available context data. The …

Ambient Intelligence environments host various agents that collect, process, change and
share the available context information. The imperfect nature of context, the open and …

Existing location based systems that propose offers to their users do not provide points of
interest (POIs) owners with the capability to flexibly customize their target groups of …

The study of ambient computing environments and pervasive computing systems has
introduced new research challenges in the field of Distributed Artificial Intelligence. The …

Varied context reasoning approaches are used across a variety of applications in the
pervasive computing domain including: health monitoring, intrusion detection, airport …

Aiming at achieving a proper regulation of their behavior in real-world environments,
participating agents need to reason not only about the specifications of the environment they …

Conventional positioning approaches for Location-based Services (LBS) such as those
provided by Google and Apple, are solely driven by geometric spatial data. Especially in …

In this paper, a novel geosocial networking service called “G-SPLIS”(Geosocial Semantic
Personalized Location Information System) is presented. The paper provides a methodology …