CNN Interactive just got more interactive

Interactive gallery installation which playfully re-contextualised online news feeds from CNN’s website with a soundtrack of found music in order to comment on an online environment where 'serious' news and trivial 'infotainment' often occupy the same space. ‘CNN Interactive just got more interactive’ aimed to investigate the balance between information and ‘info-tainment’ on the web. It demonstrated how the authority and presence of global news corporations online could be playfully subverted by enabling the audience to add a variety of emotively titled soundtracks to the monolithic CNN Interactive website. The project also explored how a work could exist dually as website and gallery installation. ‘CNN interactive’ contributes to the taxonomy of new media art as a new form of contemporary art. One of the first examples in the world of a gallery installation using live Internet data, it is also one of the first attempts in a new media art context to address how individuals respond to and comprehend the changed nature of the news as an immediate phenomenon as relayed by network communications systems. 'CNN interactive’ continues Craighead and Thomson’s research into how live digital networked information can be re-purposed as artistic material within gallery installation contexts but with specific reference to online-international news events, rather than arbitrary data sources (see e-poltergeist, output 1). ‘CNN Interactive’ was commissioned by Tate Britain for the exhibition ‘Art and Money Online’. This was the first gallery exhibition in Tate Britain featuring work that utilised and explored new media as an artistic area, and the first work commissioned by the Tate to operate simultaneously as an online gallery artwork. Selected reviews and citations include ‘Digital Art’ by Christiane Paul, 2003; ‘Internet Art: The Online Clash of Culture and Commerce’ by Julian Stallabrass. (2002); ‘Thomson & Craighead’ by Lisa Le Feuvre for Katalog Journal of Photography and Video, Denmark. All work is developed jointly and equally between Craighead and her collaborator, Jon Thomson, (Slade).

Just noticeable differences in perceived image contrast with changes in displayed image size

An evaluation of the change in perceived image contrast with changes in displayed image size was carried out. This was achieved using data from four psychophysical investigations, which employed techniques to match the perceived contrast of displayed images of five different sizes. A total of twenty-four S-shape polynomial functions were created and applied to every original test image to produce images with different contrast levels. The objective contrast related to each function was evaluated from the gradient of the mid-section of the curve (gamma). The manipulation technique took into account published gamma differences that produced a just-noticeable-difference (JND) in perceived contrast. The filters were designed to achieve approximately half a JND, whilst keeping the mean image luminance unaltered. The processed images were then used as test series in a contrast matching experiment. Sixty-four natural scenes, with varying scene content acquired under various illumination conditions, were selected from a larger set captured for the purpose. Results showed that the degree of change in contrast between images of different sizes varied with scene content but was not as important as equivalent perceived changes in sharpness.

Context-aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels

Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.