There is a growing body of evidence that numerical uncertainty expressions can be used by
non-experts to improve decision quality. Moreover, there is some evidence that similar …

When forecasting events, multiple types of uncertainty are often inherently present in the
modeling process. Various uncertainty typologies exist, and each type of uncertainty has …

As uncertainty visualizations for general audiences become increasingly common,
designers must understand the full impact of uncertainty communication techniques on …

The quality of location information is an important factor for location-based services (LBSs).
In the literature, the quality of location information has been defined in different ways based …

Conveying uncertainty in information artifacts is difficult; the challenge only grows as the
demand for mass communication through multiple channels expands. In particular, as …

Data analysts apply machine learning and statistical methods to timestamped event
sequences to tackle various problems but face unique challenges when interpreting the …

Most real-world datasets contain missing values yet most exploratory data analysis (EDA)
systems only support visualising data points with complete cases. This omission may …

Communicating uncertainty has been shown to provide positive effects on user
understanding and decision-making. Surprisingly however, most personal health tracking …

Currently offered autonomous vehicles still require the human intervention. For instance,
when the system fails to perform as expected or adapts to unanticipated situations. Given …

Sustainable Development Goal 4 promotes inclusive and equitable quality education and
lifelong learning opportunities for all. However, regions with ongoing socio-political conflict …