Applying Pen Pressure, Tilt and Touch Interactions to Data Visualizations

Bimanual interactions using pen and touch are natural to humans and have proven and explored in previous research. However, most of the previous work has been limited to using cartesian coordinates of fingers and pen tip. In this work, we go further by exploring additional pen data, like pressure and tilt, combined with multi-touch inputs. We apply this combination to two data visualizations: Bubble Chart and Linear Regression combined with a Radar. We have performed a preliminary user study comparing Pen and Touch interactions with Mouse input. We have found the Pen and Touch interactions can consume less time while looking for specific values in the Bubble Chart, whereas Mouse can be faster while looking for specific relation in Linear Regression and Radar.