Kris McGlinn

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This paper describes a platform for the user-centred design and evaluation of adaptive, context-aware services in the wireless, mobile and pervasive computing markets. It focuses on evaluating the user interactions with context-aware adaptive systems while synchronising the control of the environmental context that drives adaptivity and the user's(More)
Building energy certification standards require that modern buildings meet strict energy consumption targets. However, energy managers do not currently have the necessary tools to monitor building performance. In this paper we introduce a tool-set that supports simulation and visualisation for energy performance monitoring. The Performance Framework Tool(More)
The promise of smart buildings (SBs) is a safer more productive environment for users and a more operationally efficient building for owners. The automation of building function is highly dependent on sensing devices and Smart Building Applications(SBAs), which are often only evaluated in situ post deployment, making redevelopment costly. In this paper we(More)
In modern Smart Buildings, systems monitor and regulate energy consumption, lighting levels, humidity and other environmental factors. However, with the number of data sources increasing, the resulting information glut can reduce decision making efficiency for facility management. A promising technique to mitigate this problem is the use of an integration(More)
Research on context aware systems is handicapped by the lack of readily available large scale data sets, as well as by the lack of tools by which researchers can interact effectively with such data sets across a range of scales and granularities. We show how virtual reality combined with a dynamical systems analysis approach can start to address these gaps.(More)