In this paper, we propose a method to generate a simulated physical virtual environment in which a collection of images projected on a large screen are continuously moved around in response to spectators' movements and actions captured by a sensing device. The innovative feature of the project is the application of forces generated by a fluid physical model to spatially reposition each image in the virtual environment according to their position in relation to the source of the sensed forces.

A platform of exploratory networked robotic cameras was created, utilizing an aesthetic approach to experimentation. Initiated by research in autonomous swarm robotic camera behavior, SwarmVision is an installation consisting of multiple Pan-Tilt-Zoom cameras on rails positioned above spectators in an exhibition space, where each camera behaves autonomously based on its own rules of computer vision and control. Each of the cameras is programmed to detect visual information of interest based on a different algorithm, and each negotiates with the other two, influencing what subject matter to study in a collective way. The emergent behaviors of the system illustrate an ongoing process of scene

While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction techniques, data analysis strategies, and specialized rendering algorithms, is still often a difficult process. To facilitate the creation of novel visualizations we present a new software framework, behaviorism, which provides a wide range of flexibility when working with dynamic information on visual, temporal, and ontological levels, but at the same time providing appropriate abstractions which allow developers to create prototypes quickly which can then easily be turned into robust systems. The core of the framework is a set of three interconnected graphs, each with associated operators: a scene graph for high-performance 3D rendering, a data graph for different layers of semantically linked heterogeneous data, and a timing graph for sophisticated control of scheduling, interaction, and animation. In particular, the timing graph provides a unified system to add behaviors to both data and visual elements, as well as to the behaviors themselves. To evaluate the framework we look briefly at three different projects all of which required novel visualizations in different domains, and all of which worked with dynamic data in different ways: an interactive ecological simulation, an information art installation, and an information visualization technique.

"We Are Stardust"" is a digital media interactive installation consisting of two large projected visualizations and a ceiling mounted full rotational FLIR systems infrared imaging camera. Both projections in the installation map the sequence and locations of sky observations by the Spitzer Space Telescope, an infrared temperature sensing instrument managed by the NASA Spitzer Science Center. The intent of the project is to visually map the schedule of scientific observations: What celestial bodies were looked at, when, for how long, and by whom. This document describes the installation and depicts the engineering work behind the design and construction of the experience.

No abstract available.