Visualizing Large Time-series Data on Very Small Screens
Abstract
In this paper, we present a space-efficient visualization and an interaction technique for exploring time-series data on very small screens. The visualization is based on a simultaneous display of contextual visualization in the display border and focused interfaces in the center region of displays. The interaction technique utilizes fisheye distortion to facilitate data selection and navigation interactions in the contextual visualization. The proposed techniques could benefit a wide range of analysis applications on wearable devices. Two applications are highlighted to demonstrate the usefulness of the techniques.
BibTeX
@inproceedings {10.2312:eurovisshort.20171130,
booktitle = {EuroVis 2017 - Short Papers},
editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll},
title = {{Visualizing Large Time-series Data on Very Small Screens}},
author = {Chen, Yang},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-043-7},
DOI = {10.2312/eurovisshort.20171130}
}
booktitle = {EuroVis 2017 - Short Papers},
editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll},
title = {{Visualizing Large Time-series Data on Very Small Screens}},
author = {Chen, Yang},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-043-7},
DOI = {10.2312/eurovisshort.20171130}
}
URI
http://dx.doi.org/10.2312/eurovisshort.20171130https://diglib.eg.org:443/handle/10.2312/eurovisshort20171130