Fouse, A., Weibel, N., Hutchins, E., Hollan, J. (2008). ChronoViz: A System for Supporting Navigation of Time-Coded Data. Proceedings of ACM Conference on Human Factors in Computing Systems, 299-304, 2011. (Download)


We present ChronoViz, a system to aid annotation, visualization, navigation, and analysis of multimodal time-coded data. Exploiting interactive paper technology, ChronoViz also integrates researcher's paper notes into the composite data set. Researchers can navigate data in multiple ways, taking advantage of synchronized visualizations and annotations. The goal is to decrease the time and effort required to analyze multimodal data by providing direct indexing and flexible mechanisms to control data exploration.


Nadir Weibel

Edwin Hutchins

Adam S Fouse

Jim Hollan


Distributed Cognition and Human-Computer Interaction Lab