GROOVE

Author
Advisor
Abstract

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.

Year of Publication
2010
Secondary Title
Institute of Visual Computing and Human-Centered Technology
Number of Pages
99
reposiTUm Handle
20.500.12708/159792
Publisher
TU Wien
Place Published
Vienna
T. Koren, “GROOVE : visual techniques to capture the structure of time”, Institute of Visual Computing and Human-Centered Technology. TU Wien, Vienna, p. 99, 2010.
Master Thesis
AC07806962
T. Lammarsch et al., “Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-based Visualizations”, in Proceedings of 13th International Conference on Information Visualisation (IV09), 2009, pp. 44–49.