Paper
8 February 2015 An evaluation-guided approach for effective data visualization on tablets
Peter S. Games, Alark Joshi
Author Affiliations +
Proceedings Volume 9397, Visualization and Data Analysis 2015; 939704 (2015) https://doi.org/10.1117/12.2076523
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
There is a rising trend of data analysis and visualization tasks being performed on a tablet device. Apps with interactive data visualization capabilities are available for a wide variety of domains. We investigate whether users grasp how to effectively interpret and interact with visualizations. We conducted a detailed user evaluation to study the abilities of individuals with respect to analyzing data on a tablet through an interactive visualization app. Based upon the results of the user evaluation, we find that most subjects performed well at understanding and interacting with simple visualizations, specifically tables and line charts. A majority of the subjects struggled with identifying interactive widgets, recognizing interactive widgets with overloaded functionality, and understanding visualizations which do not display data for sorted attributes. Based on our study, we identify guidelines for designers and developers of mobile data visualization apps that include recommendations for effective data representation and interaction.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter S. Games and Alark Joshi "An evaluation-guided approach for effective data visualization on tablets", Proc. SPIE 9397, Visualization and Data Analysis 2015, 939704 (8 February 2015); https://doi.org/10.1117/12.2076523
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visualization

Tablets

Mobile devices

Human-machine interfaces

Data visualization

Visual analytics

Consumer electronics

Back to Top