Touch-Based Interaction Approach for Network Science Research and Visualization

Report No. ARL-TR-7589
Authors: John P Hancock, Mathew Aguirre, and Andrew Toth
Date/Pages: January 2016; 22 pages
Abstract: Visualization of network science experimentation results is generally achieved using stovepipe solutions tailored to specific experiments and performance metrics. Based on ZeroMQ, the US Army Research Laboratory (ARL) Visualization Framework presents a language-agnostic, platform-independent approach to connecting data published by probes to visualizations using a publish/subscribe mechanism. Visualizations can be augmented using touch-enabled displays such as the MultiTaction M550L. This report documents adaptation of the MultiTaction display to the ARL Visualization Framework using a Tangible User Interface Object (TUIO).
Distribution: Approved for public release
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Last Update / Reviewed: January 1, 2016