Data exploration is about efficiently extracting knowledge from data even if we do not know
exactly what we are looking for. In this tutorial, we survey recent developments in the …

The human work involved in data transformation represents a major bottleneck for today's
data-driven organizations. In response, we present Predictive Interaction, a framework for …

Data transformation is an essential step in data science. While experts primarily use
programming to transform their data, there is an increasing need to support non …

Interactive query interfaces have become a popular tool for ad hoc data analysis and
exploration. Compared with traditional systems that are optimized for throughput or batched …

Despite extensive research on visual query systems, the standard way to interact with
relational databases remains to be through SQL queries and tailored form interfaces. We …

In the context of interactive query sessions, it is common to issue a succession of queries,
transforming a dataset to the desired result. It is often difficult to comprehend a succession of …

Interactive data visualizations have emerged as a prominent way to bring data exploration
and analysis capabilities to both technical and non-technical users. Despite their ubiquity …

Human–robot collaboration (HRC) is one of the key aspects of Industry 4.0 (I4. 0) and
requires intuitive modalities for humans to communicate seamlessly with robots, such as …

Highly interactive query interfaces have become a popular tool for ad-hoc data analysis and
exploration, posing a new kind of workload to the underlying data infrastructure. Compared …

Background: Physicians' alert overriding behavior is considered to be the most important
factor leading to failure of computerized provider order entry (CPOE) combined with a …