Chris P. Bowers

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Increasing levels of automation are being introduced into the cockpit. Yet, it is difficult to predict the impact of these automatic systems on other elements of flight, such as crew communication and the ability to arrive at an effective decision. This study attempted to clarify the relation among these variables. Forty-eight pilots were assigned to(More)
—In this paper, we propose an intelligent data analysis method for modelling and prediction of daily electricity consumption in buildings. The objective is to enable a building management system to be used for forecasting and detection of abnormal energy use. First, an outlier detection method is proposed to identify abnormally high or low energy use in(More)
An evolutionary system is presented which employs an em-bryogeny model to evolve phenotypes in the form of layout of cells in specific patterns and shapes. It is shown that evolved phenotypes exhibit robustness to damage. How and why these traits appear is discussed and it is conjectured that it is the result of the effects of a complex mapping upon(More)
An investigation is conducted into the effects of a complex mapping between genotype and phenotype upon a simulated evolutionary process. A model of em-bryogeny is utilised to grow simple French flag like patterns. The system is shown to display a phenotypic ro-bustness to damage and it is argued that this is a result of a modularity forming within the(More)
Attempts in the past to use evolutionary simulations to model the emergence of modular neural architectures has led to conflicting results. Here, we present some preliminary work on the use of computational embryogeny to model the evolution of neural architecture at a less coarse level of description. We believe that such an approach will lead to much more(More)
Changing human behaviours using persuasive technology has been a focus of the CHI community in recent years. Much of this research aims to change behaviour through feedback of information. This is predicated on the fact that raising awareness will drive changes in behaviour, but psychological research shows that in the case of highly habitual behaviours(More)
The CASAM multimedia annotation system implements a model of cooperative annotation between a human annotator and automated components. The aim is that they work asynchronously but together. The system focuses upon the areas where automated recognition and reasoning are most effective and the user is able to work in the areas where their unique skills are(More)
Natural evolution is about searching for adaptations in order to survive in a constantly changing environment. Of course, in nature these adaptations can occur at many levels from the single gene to entire populations of individuals. Adaptation can consist of rapid successful genetic changes, common in many forms of bacteria, to changes in phenotypic(More)
For mixed-initiative multimedia annotation systems an effective dialogue between the system and user is critical. In order to inform the development of such dialogue a clear insight into the impact of interruptions upon the perceptions of the user is required. We present preliminary results of an investigation into interruptions in the form of queries to(More)
In a cooperative mixed-initiative system, timely and effective dialogue between the system and user is important to ensure that both sides work towards producing the most effective results, and this is affected by how disruptive any interruptions are as the user completes their primary task. A disruptive interaction means the user may become irritated with(More)