11,356 research outputs found

    Aesthetic complexity: practice and perception in art & design

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    My research investigates the aesthetics of visual complexity in the practice and perception of visual art and design. The aim is to understand visual complexity in terms of the relationship between the objective properties of images and subjective properties of perception. I take a computational and empirical approach to this subject, incorporating methods from information theory, computer graphics, complexity theory and experimental psychology. For testing, I create cellular automata programs to generate stimulus images, and borrow other types of visual material from students and professional artists, designers and craftspeople. Visual complexity is measured in two ways: Firstly, an objective measure of complexity is based on the compression of digital image files, which provides an information-based scale of order to randomness. Secondly, psychophysical techniques are employed to measure the subjective complexity of the images and other aesthetic judgements. Research in complex systems theory and experimental aesthetics suggests that we can expect an inverted ‘U’ correlation between the two measures of complexity

    Gatekeepers changing consumers' behaviour in energy consumption

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    Changing people's behaviour and reducing energy consumption has proved to be more difficult than attitudes or technical possibilities would imply. In this paper we discuss how to intervene the individual decisions that significantly determine energy consumption. When analysing energy-relevant decisions, we have noticed that the scale of energy-relevant decisions varies greatly in accordance with the situation of life. There are once-in-a-lifetime decisions (e.g. choosing the family home) that set the energy consumption, at a relatively fixed level, for years to come
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