GENERATING AND AUTHORING NARRATIVE VISUALIZATION FOR DATA INSIGHT COMMUNICATION

PhD Thesis Proposal Defence


Title: "GENERATING AND AUTHORING NARRATIVE VISUALIZATION FOR DATA INSIGHT
COMMUNICATION"

by

Miss Yun WANG


Abstract:

In the era of big data, the amount of digital information is growing at a 
tremendous rate. The past few years have seen major advances in data 
visualization and visual analytics systems for exploratory data analysis. 
However, the increasing complexity of data has posed new challenges to 
effective communication of data insights to a general audience. To convey data 
insights effectively, narrative visualization has been designed and created by 
practitioners in the forms of data journalisms, interactive data reports, and 
so on. However, most existing narrative visualizations are crafted by graphical 
designers and visualization experts through graphical design tools or 
programming languages. It is very hard and time-consuming to generate or author 
visual data stories.

To address this challenge, we have been exploring visual data storytelling 
techniques and systems to ease the generating and authoring of narrative 
visualization. The systems are designed for presenting data with different 
formats with multiple presentation forms and in different usage scenarios. In 
this thesis proposal, I will present our work on narrative visualization, 
including animated visualization for temporal data storytelling, interactive 
slides for text and graph data storytelling, and infographic-style for 
relational data storytelling. I will also outline a few future research 
directions to make data more accessible and influential through visualization.


Date:			Wednesday, 9 May 2018

Time:                  	4:00pm - 6:00pm

Venue:                  Room 2612B
                         (lifts 31/32)

Committee Members:	Dr. Qiong Luo (Supervisor)
 			Prof. Huamin Qu (Supervisor)
  			Dr. Pedro Sander (Chairperson)
 			Dr. Xiaojuan Ma


**** ALL are Welcome ****