Fig. 1. Impressions from our prototype for extending visualizations with Augmented Reality: (a) Two analysts working with our environment, (b) display showing our AR Brushing and Linking, Embedded AR Visualizations, and Extended Axis Views, (c) Hinged Visualizations to improve perception of remote content, and (d) Curved AR Screen providing an overview of the entire display.

No abstract

We introduce Flexible Trees, a sketch-based layout adjustment technique. Although numerous tree layout algorithms exist, these algorithms are usually bound to fit within standard shapes such as rectangles, circles and triangles. In order to provide the possibility of interactively customizing a tree layout, we offer a free-form sketchbased interaction through which one can redefine the boundary constraints for the tree layouts by combining ray-line intersection and line segment intersection. Flexible Trees offer topology preserving adjustments; can be used with a variety of tree layouts; and offer a simple way of authoring tree layouts for infographic purposes.

This work aims at establishing a more variable, and thus attractive, communication with humanoids. For this purpose we developed a method of dynamically expressing emotions and intentions associated with parametrised gestures. First, gestures and possible parameters, which are necessary for the generation of a whole-body gesture set, were analyzed. A gesture's inner and outer expressivity is thereby defined which leads to the differentiation of single gestures and variable gestural expressions. Gestures are subsequently classified into (feedback) categories and related depending on their expressivity. We developed a gesture set consisting of six categories including over 50 variable gestures. As proof of concept, the gesture set has been implemented to allow for an easy and flexible authoring process of gesture-supported communication.

This demonstration on the Nao robot uses the selection of behavior based on a feedback type and an expressivity value to generate and execute appropriate feedback. It aims to ease the authoring process by using variable gestures.

Fig. 1. HYPERVIS provides linked interactive views with highlighting mechanisms for analyzing counterexamples of hyperproperties.