*********************************
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: Visualization by Demonstration
Bahador Saket
Ph.D. Candidate in Computer Science
School of Interactive Computing
Georgia Institute of Technology
Date: Tuesday, April 28th, 2020
Time: 12:00-2:00 PM (EST)
BlueJeans: https://primetime.bluejeans.com/a2m/live-event/hvfegayk
**Note: this defense is remote-only due to the institute's guidelines on COVID-19**
Committee:
Dr. Alex Endert (Advisor), School of Interactive Computing, Georgia Institute of Technology
Dr. Gregory Abowd, School of Interactive Computing, Georgia Institute of Technology
Dr. John Stasko, School of Interactive Computing, Georgia Institute of Technology
Dr. Keith Edwards, School of Interactive Computing, Georgia Institute of Technology
Dr. Niklas Elmqvist, College of Information Studies, University of Maryland, College Park
Abstract:
A key component of visualization systems that helps human sensemaking is interactivity. Thoughtfully designed interactions make the visual analysis process a conversation between the user and the interface that results in a deeper understanding of data. Yet, despite decades of research, existing visualization systems still require users to interact through layers of menus on control panels. These systems incur extra execution and cognitive cost by introducing a large number of intermediary interface elements such as menus and dialog boxes.
In this dissertation, I coin a novel interaction paradigm for visual data exploration called ``visualization by demonstration''. This paradigm aims to reduce the cognitive cost and enhance interaction expressivity to decrease the level of formalism and fundamental knowledge often required for visual data exploration. I first discuss the fundamental principles and guidelines that go into the design of visualization by demonstration. I then explain how we can apply these fundamental principles and guidelines to design and develop general-purpose data visualization tools that implement visualization by demonstration. I finally discuss how we apply visualization by demonstration to design and develop visual data exploration tools for experts in specific domains such as biology and healthcare.
