*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Data Visualization on Tablets
Ramik Sadana
Ph.D. Student
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Date: Monday, August 1st, 2016
Time: 1 PM to 3 PM EDT
Location: TSRB 223
Committee
--------------
Dr. John Stasko, School of Interactive Computing (Advisor)
Dr. James D. Foley, School of Interactive Computing
Dr. Rahul Basole, School of Interactive Computing
Dr. Alex Endert, School of Interactive Computing
Dr. Steven Drucker, Microsoft Research, Redmond
Abstract
--------------
Multitouch input is now ubiquitous and the popularity of devices using it has grown tremendously in recent years. The ability to directly touch and manipulate data on the screen without using any intermediary devices has a very strong appeal to users. This has resulted in a new generation of applications that are developed entirely for touch screens. However, one area with only a limited exposure to touch-based input is information visualization. This is in part due to the constraints of designing for touch: the absence of keyboard and mouse, typically small screen size of handheld devices, and the dependence of visualization applications on widgets such as buttons, sliders, menus, and dialog boxes.
Touch input raises interesting questions for information visualization: What does it mean for visualization tools to exist and be effective in a cursor-less world? How do visualization techniques designed over the past 30 years adapt to interfaces devoid of mouse-input? Conversely, does touch input lead to increased efficiency or affect the way we understand data with visualizations? Through this work, I intend to address these questions and others. Specifically, my goal is to understand, design, and develop capabilities for analyzing data with visualizations on tablet devices. I explore appropriate and effective visualization schemes for exposing crucial insights from data on tablets. I also develop new interaction techniques to support the rich set of operations that people expect from information visualization systems.