Adaptive Mobile Work Processes in Context-Rich, Heterogeneous Environments
Abstract (Summary)The rapid evolution in ubiquitous technologies has increased the demand and enabled for computational support of work anywhere, anytime. Mobility implies migrating computer systems from relatively static physical environments to highly dynamic and heterogeneous environments. The physical environment (including humans) is increasingly being instrumented with sensors, actuators, and other computing devices. These capture, contain, or represent different types of information and knowledge that can be used to monitor and infer different properties of the environment, both static and dynamic. The properties can be represented as explicit context information that can help support, monitor, manage, and coordinate work processes performed within that environment.This work concentrates on how to support work processes in mobile and dynamic environments. Dynamic context information has normally not been an integrated part of process support software. Such software has traditionally been built for static, well-defined work processes and environments with a priori known resources, states, and working conditions. We introduce the notion of ”smart” work processes, enabling adaptation of work processes to dynamic working environments.The contributions of this thesis can be divided into three main themes:T1 Exploration and investigation of mobile workers.T2 Investigation and development of concepts and frameworks to capture and describe properties of mobile work processes.T3 Development of enabling technology to support ”smart” work processes in pervasive and mobile, ad hoc computing environments.The main contributions are:C1 A characterisation framework for mobile work to understand and find requirements for mobile work processes.C2 An architecture to support context-aware, mobile (smart) work processes.C3 Enabling technologies to support mobile work.C3.1 A context-aware middleware for mobile ad hoc environments to support context-aware, mobile (smart) work processes.C3.2 The NIDAROS framework for location-aware support on mobile devices.The contributions are presented as a paper collection.
Source Type:Master's Thesis
Date of Publication:11/02/2007