@misc{639,
  keywords = {InfoVis, Visualization, GROOVE},
  author = {Thomas Koren},
  title = {GROOVE : visual techniques to capture the structure of time},
  abstract = {<p>Natural and cultural cycles, like day and night, weekday and weekend, years and seasons, define our life and become perceivable in every analysis of human behavior. This work documents reimplementation and extension of Groove (granular overview overlay), a visualization technique to gain insights on several levels of detail in complex, time-oriented data at a single glance. A powerful framework was implemented, dealing with common data-related tasks and providing an extensible visualization and interaction pipeline. Based on that framework, a visualization adapting the calendar-analogy was implemented to show the frameworks benefits and resulting easements for future studies. In the conclusion we sketch possible future extensions and the usability of the Groove-Framework.</p>},
  year = {2010},
  journal = {Institute of Visual Computing and Human-Centered Technology},
  pages = {99},
  publisher = {TU Wien},
  address = {Vienna},
}