PhD Qualifying Examination
Title: "A Survey on Visual Design in Data-Driven Storytelling"
Miss Xinhuan SHU
Communicating data insights effectively to a general audience has become a
fundamental problem in the information explosion era. We have seen a growing
interest in telling data-driven stories to alleviate this issue. Specifically,
these data-driven stories are structured by findings from data and often
incorporate visual representations into the process of narration. However,
crafting such visual data stories is non-trivial and time-consuming.
Particularly, effective visual design in a data story remains underexplored.
Besides, narrative authoring tools are still in the infancy and do not keep
pace with innovation in practice. These gaps catalyze the growth of research
interest in the visualization field. Existing studies have shown typical visual
design in data-driven storytelling, taking an initial step to ease the creation
process. They indicate the potential to easily produce high-quality data
stories for communication.
In this survey, we discuss the development of visual design in data-driven
storytelling, as well as the authoring tools. The survey begins with an
introduction to the motivation and challenges of data-driven storytelling.
Then, based on the definition of the term narrative, we review visual design in
three primary story components, namely, scenes, sequences, and transitions, and
discuss how they compose a visual data story. After that, we investigate
existing authoring tools and reflect on evaluation methodologies. The survey
ends with current research gaps and future directions in data-driven
Date: Friday, 28 September 2018
Time: 2:00pm - 4:00pm
Venue: Room 2408
Committee Members: Prof. Huamin Qu (Supervisor)
Prof. Chiew-Lan Tai (Chairperson)
Dr. Xiaojuan Ma
Dr. Pedro Sander
**** ALL are Welcome ****