Cue salience in multiple cue attentional capture

The predominant use of single element cues in visual attentional capture research motivated examination using dual capture cues. Participants in these studies viewed computer screens briefly displaying sequences of feature-defined positional cues and targets, with target identification response time recorded. Five initial experiments utilising the features of colour (purple) and intensity (bold font), and reported at EPC 2005, revealed contingent capture influences and suggested capture by colour cues may be more powerful than single cue literature has indicated. Three follow-up experiments manipulated displays and defining features to see if the conclusions remained. Experiments 6 and 7 investigated whether target identification in the initial series was based on a featural or singleton search. Experiment 8 then tested "onset' versus "purple" under the condition of specific attentional set, a featural change that appeared to remove purple colour dominance evidenced in the initial experimental series. Overall, outcomes of both experimental series suggest strong salience involvement with overtones of contingent capture for specific featural selections. The novel multi-cue approach revealed the significance of relative salience within these selections.

Cluster measurement and benchmarking - A recent Welsh approach

Drawing on extensive academic research and theory on clusters and their analysis, the methodology employed in this pilot study (sponsored by the Welsh Assembly Government’s Economic Research Grants Assessment Board) seeks to create a framework for reviewing and monitoring clusters in Wales on an ongoing basis, and generate the information necessary for successful cluster development policy to occur. The multi-method framework developed and tested in the pilot study is designed to map existing Welsh sectors with cluster characteristics, uncover existing linkages, and better understand areas of strength and weakness. The approach adopted relies on synthesising both quantitative and qualitative evidence. Statistical measures, including the size of potential clusters, are united with other evidence on input-output derived inter-linkages within clusters and to other sectors in Wales and the UK, as well as the export and import intensity of the cluster. Multi Sector Qualitative Analysis is then designed for competencies/capacity, risk factors, markets, types and crucially, the perceived strengths of cluster structures and relationships. The approach outlined above can, with the refinements recommended through the review process, provide policy-makers with a valuable tool for reviewing and monitoring individual sectors and ameliorating problems in sectors likely to decline further.