Topic
Context awareness
About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.
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10 Oct 2010
TL;DR: An intelligent context-aware solution that considers both users and services requirements is proposed that is based on advanced decision approaches like fuzzy logic and analytic hierarchy processes.
Abstract: Provisioning continuous services while moving through heterogeneous wireless networks is a main issue in the fourth generation wireless Networks. An efficient vertical handover decision making algorithm that takes into account services' requirements, considers users' preferences and guaranties seamless handover over heterogeneous technologies is required. In this paper, we propose an intelligent context-aware solution that considers both users and services requirements. It is based on advanced decision approaches like fuzzy logic and analytic hierarchy processes.
71 citations
01 Jan 2004
TL;DR: The planned deployment of a context awareness subsystem that is intended to tailor the content and options made available to a learner, depending on their current situation, preferences, and learning history is described.
Abstract: The MOBIlearn project aims to develop a re-usable architecture for delivering mobile learning experiences. A key component of this architecture is a context-awareness subsystem that is intended to tailor the content and options made available to a learner, depending on their current situation, preferences, and learning history. The context awareness subsystem has been developed alongside a hierarchical model of context, and has been subjected to formative evaluation. With reference to our context model, preliminary user trials, and input from museum staff, we describe the planned deployment of this system in an art museum learning scenario.
71 citations
25 May 2007
TL;DR: A context inference scheme that realizes a user posture inference with only one acceleration sensor embedded in a mobile handset and can infer a user's posture with more than 96%.
Abstract: User context recognition is one of the important technologies for realizing context aware services. Conventional multi sensor based approach has advantages in that it can generate variety of contexts with less computation resources by using many different sensors. However, such systems tend to be complex and cumbersome and, thus, do not fit in well with mobile environment. In this sense, a single sensor based approach is suitable for mobile environments. In this paper, we show a context inference scheme that realizes a user posture inference with only one acceleration sensor embedded in a mobile handset. Our system automatically detects the sensor position on the user's body and selects the most relevant inference method dynamically. Our experimental results show that the system can infer a user's posture (sitting, standing, walking, and running) with an accuracy of more than 96%.
71 citations
TL;DR: A context-based, device-centric tool prototype lets users easily customize smart phones, offering low learning costs and high usability and a context-aware solution for existing mobile devices and their applications that people can use independent of external infrastructure.
Abstract: A context-based, device-centric tool prototype lets users easily customize smart phones, offering low learning costs and high usability. In contrast, we've developed a context-aware solution for existing mobile devices and their applications that people can use independent of external infrastructure. The solution is hence applicable in general mobile usage rather than being restricted to a specific room or space. Our primary goal is to offer a device-centric approach with a broad scope of customizable functionality, while maintaining the low learning costs that end-user development advocates
71 citations
13 Oct 2008
TL;DR: An approach to providing distributed cognition support of travel guidance for persons with cognitive disabilities with the ability to provide unique-to-the-user prompts that are triggered by context is described.
Abstract: A challenge to individuals with cognitive impairments in wayfinding is how to remain oriented, recall routines, and travel in unfamiliar areas in a way relying on limited cognitive capacity. According to psychological model of spatial navigation and the requirements of rehabilitation professionals, a novel wayfinding system is presented with an aim to increase workplace and life independence for people suffering from diseases such as traumatic brain injury, cerebral palsy, mental retardation, schizophrenia, Down syndromes, and Alzheimer's disease. This paper describes an approach to providing distributed cognition support of travel guidance for persons with cognitive disabilities. The unique strength of the system is the ability to provide unique-to-the-user prompts that are triggered by context. As this population is very sensitive to issues of abstraction (e.g. icons) and presents the designer with the need to tailor prompts to a 'universe-of-one' the use of images specific to each user and context is implemented. The key to the approach is to spread the context awareness across the system, with the context being flagged by the QR-code tags and the appropriate response being evoked by displaying the appropriate path guidance images indexed by the intersection of specific end-user and context ID embedded in the tags. By separating the context trigger from the pictorial response, responses can be updated independently of the rest of the installed system, and a single QR-code tag can trigger multiple responses in the PDA depending on the end-user and their specific path. A prototype is built and tested in field experiments with real patients. The experimental results show the human-computer interface is friendly and the capabilities of wayfinding are reliable.
71 citations