A SURVEY ON NARRATIVE VISUALIZATION

PhD Qualifying Examination


Title: "A SURVEY ON NARRATIVE VISUALIZATION"

by

Miss Yun WANG


Abstract:

Visualization is commonly used to represent data in intuitive and easily 
understandable visual forms to facilitate knowledge discovery. However, 
when data becomes more and more complex, visualization techniques also 
become more and more sophisticated. In addition, cutting-edge visual 
analytics systems often involve both advanced data mining and 
visualization techniques, and a sequence of data mining and interactive 
visualizations steps is needed to reveal hidden information in the data. 
All these recent developments make it difficult to present information and 
visualization results to ordinary users. Narrative visualization, which 
organizes information into stories and then conveys the stories using 
visual forms, shows great potential to address this issue. Narrative 
visualization connects a sequence of visual forms in a meaningful 
structure and tells the stories in an explorative and communicative visual 
style, which makes the information easier to understand and remember.

In this survey, we first summarize relevant storytelling and narrative 
methods, followed by a brief introduction of visualization techniques. 
Then, we review the existing narrative visualization theories and 
techniques (e.g., narrative visualization genres, narrative structures, 
visual narrative tactics and end-users' interpretation of narrative 
visualization) as well as applications of narrative visualization in 
scientific discovery, education, business intelligence and journalism. 
Finally, we conclude with several potential research directions and 
topics.


Date:			Wednesday, 15 October 2014

Time:                  	10:00am - 12:00noon

Venue:                  Room 5561
                         Lifts 27/28

Committee Members:	Dr. Qiong Luo (Supervisor)
  			Dr. Pedro Sander (Chairperson)
 			Dr. Lei Chen
  			Dr. Huamin Qu


**** ALL are Welcome ****