Publikationen

Uncover hidden suppliers and their complex relationships across the entire Supply Chain is quite complex. Unexpected disruptions, e.g. earthquakes, volcanoes, bankruptcies or nuclear disasters have a huge impact on major Supply Chain strategies. It is very difficult to predict the real impact of these disruptions until it is too late. Small, unknown suppliers can hugely impact the delivery of a product. Therefore, it is crucial to constantly monitor for problems with both direct and indirect suppliers.

Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complexdatasets. Due to recent advances in eye tracking technology, promising opportunities arise to extend these traditional VA approaches.Therefore, we discuss foundations for eye tracking support in VAsystems. We first review and discuss the structure and range oftypical VA systems. Based on a widely used VA model, we presentfive comprehensive examples that cover a wide range of usage scenarios. Then, we demonstrate that the VA model can be used tosystematically explore how concrete VA systems could be extendedwith eye tracking, to create supportive and adaptive analytics systems. This allows us to identify general research and applicationopportunities, and classify them into research themes. In a call foraction, we map the road for future research to broaden the use ofeye tracking and advance visual analytics.