Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

Visualization products computed from a raster elevation model still form the basis of most
archaeological and geomorphological enquiries of lidar data. We believe there is a need to …

We present Marvis, a conceptual framework that combines mobile devices and head-
mounted Augmented Reality (AR) for visual data analysis. We propose novel concepts and …

Information processing lies at the heart of human performance. This chapter describe the
characteristics of the different important stages of information processing, from perception of …

Significant progress to integrate and analyse multimodal data has been carried out in the
last years. Yet, little research has tackled the challenge of visualising and supporting the …

Dirty data and deceptive design practices can undermine, invert, or invalidate the purported
messages of charts and graphs. These failures can arise silently: a conclusion derived from …

Data visualization is powerful in persuading an audience. However, when it is done poorly
or maliciously, a visualization may become misleading or even deceiving. Visualizations …

Misleading data visualizations have become a significant issue in our information-rich world
due to their negative impact on informed decision-making. Consequently, it is crucial to …

Human-robot interaction (HRI) research frequently explores how to design interfaces that
enable humans to effectively teleoperate and supervise robots. One of the principle goals of …

Data visualizations can empower an audience to make informed decisions. At the same
time, deceptive representations of data can lead to inaccurate interpretations while still …