The growing volume and variety of data presents both opportunities and challenges for
visual analytics. Addressing these challenges is needed for big data to provide valuable …

Visual Analytics (VA) aims to combine the strengths of humans and computers for effective
data analysis. In this endeavor, humans' tacit knowledge from prior experience is an …

Multiple time series are a set of multiple quantitative variables occurring at the same interval.
They are present in many domains such as medicine, finance, and manufacturing for …

We present BezelGlide, a novel suite of bezel interaction techniques, designed to minimize
screen occlusion and 'fat finger'effects, when interacting with common graphs on …

In 2014, more than 10 million people in the US were affected by an ambulatory disability.
Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human …

Online news, microblogs and other media documents all contain valuable insight regarding
events and responses to events. Underlying these documents is the concept of framing, a …

Optimizing the use of a small display while presenting graphic data such as line charts is
challenging. To tackle this, we propose GSparks, a compact visual representation of …

Multiple embedded sensors enable smartwatch apps to amass large amounts of interrelated
time-series data simultaneously, such as heart rate, oxygen levels or steps walked …

Acute stroke demands prompt diagnosis and treatment to achieve optimal patient outcomes.
However, the intricate and irregular nature of clinical data associated with acute stroke …

We introduce two novel visualization designs to support practitioners in performing
identification and discrimination tasks on large value ranges (ie, several orders of …