GENERATING AND AUTHORING NARRATIVE VISUALIZATION FOR DATA INSIGHT COMMUNICATION

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering


PhD Thesis 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. Therefore, it is very 
hard and time-consuming to generate or author visual data stories.


To address this challenge, we propose visual data storytelling techniques 
and systems to ease the generation and authoring of narrative 
visualization, and to enhance data insight communication. Specifically, we 
design an interactive visualization system that can generate interactive 
slides with a narrative structure from academic papers to improve users' 
paper-reading experience; we develop animated narrative visualization to 
present video clickstream data to guide the user's attention to patterns 
and anomalies in the data; and we introduce InfoNice, a visualization 
design tool that facilitates users to easily create data-driven 
infographics for storytelling. We have conducted various user studies to 
demonstrate the effectiveness of our systems and techniques for data 
insight communication.


Date:			Tuesday, 31 July 2018

Time:			3:00pm - 5:00pm

Venue:			Room 5566
 			Lifts 27/28

Chairman:		Prof. Ajay Joneja (IELM)

Committee Members:	Prof. Qiong Luo (Supervisor)
 			Prof. Huamin Qu (Supervisor)
 			Prof. Xiaojuan Ma
 			Prof. Pedro Sander
 			Prof. Ravindra Goonetilleke (IEDA)
 			Prof. Kwan-Liu Ma (U of California)


**** ALL are Welcome ****