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This article discusses different ways to enhance human-machine interaction in x-ray screening, especially regarding x-ray image display technology. It represents a summary of the studies conducted as work package 4 of the EU funded VIA project (www.viaproject.eu). First, important theoretical issues regarding the interpretation of x-ray images are discussed. We then explain how to measure x-ray image interpretation competency using tests built into CBT. This is followed by a summary of studies on how to increase the efficiency in x-ray screening using computer-based training (CBT). We then discuss the relevance of so-called image enhancement functions (IEFs) and the value of multi-view x-ray technology. Finally, we present the results of statistical modeling which allowed us to predict x-ray image difficulty and human performance.