Susan Paddock

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Threat Image Projection (TIP) is a software system that is used at airports to project images of threat items amongst the passenger baggage being screened by X-ray. The use of TIP is becoming more widespread and is increasingly being included as part of security regulation. This is due to its purported benefits of improved attention and vigilance, and(More)
In this Thesis a hierarchical image-based 2D talking head model is presented, together with robust automatic and semi-automatic animation techniques, and a novel perceptual method for evaluating visual-speech based on the McGurk effect. The novelty of the hierarchical facial model stems from the fact that sub-facial areas are modelled individually. To(More)
Motivated by the need for an informative, unbiased, and quantitative perceptual method for the evaluation of a talking head we are developing, we propose a new test based on the “McGurk Effect.” Our approach helps to identify strengths and weaknesses in visual--speech synthesis algorithms for talking heads and facial animations, in general, and(More)
While econometric models routinely incorporate unobserved heterogeneity, microsimulations that are based on historical data rarely do so. At issue is that an individual’s history of outcomes contains information about that person’s heterogeneity draw, implying that the individual’s value may not be drawn randomly from the population distribution. Failure to(More)
This paper develops a method that improves researchers’ ability to account for behavioral responses to policy change in microsimulation models. Current microsimulation models are relatively simple, in part because of the technical difficulty of accounting for unobserved heterogeneity. This is all the more problematic because data constraints typically force(More)
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