Scalable natural user interfaces for data-intensive exploratory visualization: designing in the context of big data
2014-07
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Scalable natural user interfaces for data-intensive exploratory visualization: designing in the context of big data
Authors
Published Date
2014-07
Publisher
Type
Thesis or Dissertation
Abstract
This dissertation investigates new exploratory visualization tools in data-intensive domains that are built upon natural user interface technology, including multi-touch surfaces and virtual reality. Scalable interactions are developed and evaluated in several software systems that are targeted toward supporting design workflows that make use of big data. A new immersive and highly-interactive multi-touch workbench is presented, along with a theoretical framework and evaluation of how visualizations may be developed on it. Building upon this foundation, two different exploratory visualization software systems are presented that address distinct challenges faced by designers working in data-intensive domains. The first of these systems is called Slice World-In-Miniature (WIM), which is designed to overcome the difficulty associated with exploring large-volume data, where the complexity of the data often leads to the designers becoming disoriented. Using Overview+Detail techniques to provide context, the designer navigates inside of complex volumes using multi-touch gestures. This Slice WIM system is applied to a number of medical device design applications and evaluated by domain experts in this field. The second system is called Design by Dragging, which addresses the information overload associated with comparing and navigating many sets of interelated simulations. Design by Dragging gives the designer the power to explore high-dimensional simulation design spaces by using natural direct manipulation interactions. This system is applied to several problems in medical device design and in visual effects simulation, and a domain expert evaluation is presented. The big data paradigm is integrally tied to the future of computing. The major contribution of this dissertation is its investigation into the effectiveness of natural user interfaces as a means of working in this paradigm. Although natural user interfaces have become ubiquitous in our daily lives, they are typically used only for simple interactions. This dissertation demonstrates that these technologies can also be effective in aiding design work in the context of big data, a result that could shape the future of computing and change the way designers work with computers.
Description
University of Minnesota Ph.D. dissertation. July 2013. Major: Computer Science. Advisor: Daniel F. Keefe. 1 computer file (PDF) x, 195 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Suggested citation
Coffey, Dane M.. (2014). Scalable natural user interfaces for data-intensive exploratory visualization: designing in the context of big data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/165302.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.