Context awareness

About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.

Identifying Opportunities for Valuable Encounters: Toward Context-Aware Social Matching Systems

Abstract: Mobile social matching systems have the potential to transform the way we make new social ties, but only if we are able to overcome the many challenges that exist as to how systems can utilize contextual data to recommend interesting and relevant people to users and facilitate valuable encounters between strangers. This article outlines how context and mobility influence people's motivations to meet new people and presents innovative design concepts for mediating mobile encounters through context-aware social matching systems. Findings from two studies are presented. The first, a survey study (n = 117) explored the concept of contextual rarity of shared user attributes as a measure to improve desirability in mobile social matches. The second, an interview study (n = 58) explored people's motivations to meet others in various contexts. From these studies we derived a set of novel context-aware social matching concepts, including contextual sociability and familiarity as an indicator of opportune social context; contextual engagement as an indicator of opportune personal context; and contextual rarity, oddity, and activity partnering as an indicator of opportune relational context. The findings of these studies establish the importance of different contextual factors and frame the design space of context-aware social matching systems.

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

Abstract: Internet of Things (IoT) has radically transformed the world; currently, every device can be connected to the Internet and provide valuable information for decision-making In spite of the fast evolution of technologies accompanying the grow of IoT, we are still faced with the challenge of providing a service oriented architecture, which facilitates the inclusion of data coming together from several IoT devices, data delivery among a system's agents, real-time data processing and service provision to users Furthermore, context-aware data processing and architectures still pose a challenge, in spite of being key requirements in order to get stronger IoT architectures To face this challenge, we propose a COLLaborative ConText Aware Service Oriented Architecture (COLLECT), which facilitates both the integration of IoT heterogeneous domain context data — through the use of a light message broker — and easy data delivery among several agents and collaborative participants in the system — making use of an enterprise service bus — In addition, this architecture provides real-time data processing thanks to the use of a complex event processing engine as well as services and intelligent decision-making procedures to users according to the needs of the domain in question As a result, COLLECT has a great impact on context-aware decentralized and collaborative reasoning for IoT, promoting context-aware intelligent decision making in such scope Since context-awareness is key for a wide range of recommender and intelligent systems, the presented novel solution improves decision making in a large number of fields where such systems require to promptly process a variety of ubiquitous collaborative and context-aware data

Adaptive concepts for a mobile cartography

Abstract: GISs are moving away from a system for experts to a more widely-used tool for answering spatial-related questions. The dawn of new technologies on the horizon, such as telecommunication, mobile Internet, and handheld computing devices, offers new chances to the everyday use of geoinformation. However, the existing approaches to mobile visualisation of geoinformation mostly have a commercial background and are rather technology-centred. This quite narrow view ignores many relevant problems and does not fully profit from the new possibilities a mobile cartography could provide. Taking the existing problems into account the paper sketches a general conceptual framework for geoinformation use in a mobile environment. Specific user tasks and requests in a mobile environment are identified, which is followed by an outline of possible methods to personalise a GIS for better mobile assistance. Putting emphasis on the importance of analytical functions for mobile cartography, the process of adaptive and dynamic generation of visualisations for mobile users on the basis of vector data (e.g. SVG) is illustrated and the key research fields involved are pointed out.