Visualization of off-screen data on tablets using context-providing bar graphs and scatter plots

Peter S. Games; Alark Joshi

doi:10.1117/12.2038456

3 February 2014 Visualization of off-screen data on tablets using context-providing bar graphs and scatter plots

Peter S. Games, Alark Joshi

Proceedings Volume 9017, Visualization and Data Analysis 2014; 90170D (2014) https://doi.org/10.1117/12.2038456
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Visualizing data on tablets is challenging due to the relatively small screen size and limited user interaction capabilities. Standard data visualization apps provide support for pinch-and-zoom and scrolling operations, but do not provide context for data that is off-screen. When exploring data on tablets, the user must be able to focus on a region of interest and quickly find interesting patterns in the data. We present visualization techniques that facilitate seamless interaction with the region of interest on a tablet using context-providing bar graphs and scatter plots. Through aggregation, fisheye-style, and overview+detail representations, we provide context to the users as they explore a region of interest. We evaluated the efficacy of our techniques with the standard, interactive bar graph and scatter plot applications on a tablet, and found that one of our bargraph visualizations - Fisheye-style Focus+Context visualization (BG2) resulted in the fewest errors, least frustration and took the least amount of time. Similarly, one of our scatter plot visualizations - User Driven Overview+Detail (SP3) - resulted in the fewest errors, least frustration and took the least amount of time. Overall, users preferred the context-providing techniques over traditional bar graphs and scatter plots, that include pinch-and-zoom and fling-based scrolling capabilities.

Citation Download Citation

Peter S. Games and Alark Joshi "Visualization of off-screen data on tablets using context-providing bar graphs and scatter plots", Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170D (3 February 2014); https://doi.org/10.1117/12.2038456

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