Context awareness

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

A pervasive P3P-based negotiation mechanism for privacy-aware pervasive e-commerce

Abstract: Privacy management is crucial in conducting pervasive computing services The Platform for Privacy Preferences (P3P) is one of the most significant efforts currently underway for users of Web-based services Since users are typically nomadic in pervasive computing services, however, their specific privacy concerns change dynamically with context This leads us to develop a dynamically adjusting P3P-based policy for a personalized, privacy-aware service as a core element of secure pervasive computing The purpose of this paper is to propose dynamically and flexibly a pervasive P3P-based negotiation mechanism for a privacy control of those functions To do so, we consider and implement a multi-agent negotiation mechanism on top of a pervasive P3P system

A context-aware service provision system for smart environments based on the user interaction modalities

Abstract: Ambient and pervasive technologies provide several ways to assist people with special needs in smart environments. However, the system's complexity and the size of the contextual information of these environments lead to several difficulties in deploying and providing the assistance services. A service provision mechanism which is aware of the environment context can simplify the deployment of assistance services on environment devices, by taking care of the decision processes. Moreover, the integration of the interaction modalities in the decision processes of such mechanisms allows deliveries of services to users based on their capabilities and preferences. In this paper, we present a context-aware service provision system for smart environment, which takes into account a whole set of contextual information: user profiles, device profiles, software profiles and environment topology. In regards to our previous work, this paper focuses on the modeling of the user interaction capabilities, built around the notion of interaction modalities. We also detail the integration of the model to the service provision reasoning process, as well as its implementation. Finally, we demonstrate the functionalities of this system through technical validations and scenarios carried out in a real smart apartment.

Context variability modeling for runtime configuration of service-based dynamic software product lines

Abstract: In emerging domains such as Cloud-based Industrial Control Systems (ICSs) and SCADA systems where data-intensive and high performance computing are needed, a higher degree of flexibility is being demanded to meet new stakeholder requirements, context changes and intrinsic complexity. In this light, Dynamic Software Product Lines (DSPLs) provide a way to build self-managing systems exploiting traditional product line engineering concepts at runtime. Although context-awareness is widely perceived to be a first-class concern in such runtime variability mechanisms, existing approaches do not provide the necessary level of formalization to model and enact context variability for DSPLs. This is crucial for operational analytics processes since variant configuration could differ from context to context depending on diverse data values linked to context features and cross-tree constraints in a feature model. In this paper, we propose a context variability modeling approach, demonstrate its applicability and usability via a wind farm use case, and present the fundamental building blocks of a framework for enabling context variability in service-based DSPLs which provide Workflow as a Service (WFaaS).

Using context history to personalize a resource recommender via a genetic algorithm

Abstract: Situation awareness is a promising approach to recommend to a mobile user the most suitable resources for a specific situation. However, determining the correct user situation is not a simple task since users have different habits that may affect the way in which the situations arise. Thus, an appropriate tuning aimed at adapting the situation recognizer to the specific user is desirable to make a resource recommender more effective. In this paper, we show how this objective can be achieved by collecting data during the interaction of the user with the mobile device and using this context history to personalize the resource recommender by a genetic algorithm. To describe our approach, we adopt a recently proposed resource recommender which exploits fuzzy linguistic variables to manage the inherent vagueness of some contextual parameters. Experimental results on a real business case show that the responsiveness and modeling capabilities of the recommender increase, thus validating the proposed approach.

User requirements for digital jewellery

Abstract: In recent years, wearable devices have been an emerging trend on the market. Though, recent studies show that people abandon their wearable devices after a couple of months. One of the main reasons supposed is the technical look and feel of the gadgety devices and thus, an insufficient suitability for daily use. Digital jewellery, the concept of concealing technology behind fashionable jewellery, is a promising approach to address this problem. However, little research has been done to clearly define the requirements for digital jewellery. In this work we present the design and results of an online survey, in which we investigated, which requirements are important for digital jewellery, and how important specific requirements are perceived by potential users. Overall, participants considered functionality, form factor, and interaction and display design as very important, whereas they found body location, context awareness and customisability less important. We also found differences in the importance ratings, that are related to gender and age. Our results will help designers of digital jewellery to focus not only on the right, but also on the more important requirements first.