2013 · 39 citations · 21 references
ComputingComputer ScienceInformation SystemsMobile ComputingMobile SystemsSensorsContext-aware ComputingMobile Human-computer InteractionMobile MiddlewareMobile SensingMobile User ExperienceAdaptive AcquisitionContext AcquisitionContext AwarenessContext DisseminationContext SharingContext-aware ApplicationsContext-aware MiddlewareContext-aware Mobile Applications
Sensors of all kinds are being integrated with mobile and portable devices (tablets, smartphones). This opens up the possibility of context-aware applications to effectively be able to adapt their behavior, user interfaces and content according to the current user's situation. Frequently, context-aware applications require an infrastructure for acquisition, aggregation and reasoning of contextual information. However, existing context management infrastructures are not always appropriated to the heterogeneous and particular environment of mobile devices. In this paper, we present a context management middleware called LoCCAM (Loosely Coupled Context Acquisition Middeware) to provide self-adaptive acquisition of contextual information. It can execute both locally, on a single device, or distributed among nearby devices. The middleware proposes a model for publication, and notification of contextual information based on tuple spaces. As consequence, it offers a lower coupling among applications and the context acquisition layer. In this paper, we also present a performance evaluation of the adaptation mechanism.
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Nicholas Carriero, David Gelernter · Communications of the ACM · 1989 · 1.4K citations · Full text
Context‐Aware Recommender Systems
Gediminas Adomavičius, Bamshad Mobasher, Francesco Ricci⋆ et al. · AI Magazine · 2011 · 1.4K citations · Full text
A survey of context modelling and reasoning techniques
Cláudio Bettini, Oliver Brdiczka, Karen Henricksen et al. · Pervasive and Mobile Computing · 2009 · 1.1K citations