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The perceptual scalability of visualization (2006)
| Venue: | IEEE Trans. Visualization and Computer Graphics (TVCG) (Proc. InfoVis |
| Citations: | 27 - 5 self |
BibTeX
@ARTICLE{Yost06theperceptual,
author = {Beth Yost and Student Member and Chris North},
title = {The perceptual scalability of visualization},
journal = {IEEE Trans. Visualization and Computer Graphics (TVCG) (Proc. InfoVis},
year = {2006},
volume = {6}
}
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Abstract
Abstract — Larger, higher resolution displays can be used to increase the scalability of information visualizations. But just how much can scalability increase using larger displays before hitting human perceptual or cognitive limits? Are the same visualization techniques that are good on a single monitor also the techniques that are best when they are scaled up using large, high-resolution displays? To answer these questions we performed a controlled experiment on user performance time, accuracy, and subjective workload when scaling up data quantity with different space-time-attribute visualizations using a large, tiled display. Twelve college students used small multiples, embedded bar matrices, and embedded time-series graphs either on a 2 megapixel (Mp) display or with data scaled up using a 32 Mp tiled display. Participants performed various overview and detail tasks on geospatially-referenced multidimensional time-series data. Results showed that current designs are perceptually scalable because they result in a decrease in task completion time when normalized per number of data attributes along with no decrease in accuracy. It appears that, for the visualizations selected for this study, the relative comparison between designs is generally consistent between display sizes. However, results also suggest that encoding is more important on a smaller display while spatial grouping is more important on a larger display. Some suggestions for designers are provided based on our experience designing visualizations for large displays. Index Terms—Information visualization, large displays, empirical evaluation. 1
Keyphrases
perceptual scalability large display twelve college student different space-time-attribute visualization experience designing visualization visualization technique resolution display spatial grouping data attribute subjective workload high-resolution display task completion time detail task index term information visualization small multiple user performance time geospatially-referenced multidimensional time-series data current design information visualization various overview single monitor relative comparison data quantity bar matrix controlled experiment abstract larger time-series graph cognitive limit display size empirical evaluation
