About Us

The Data Storytelling research team of HKUST VisLab is dedicated to exploring storytelling techniques for communicating data-driven insights with visualizations. Our research interests are wide-ranging and include the investigation of novel techniques in data-driven storytelling and the development of authoring tools or automatic approaches to generate narrative visualizations. As we delve into these topics, we aim to bridge the gap between the complex world of data analytics and the intuitive realm of human communication. At the core of our research lies the belief that data storytelling is not only about presenting numbers and facts but also about crafting engaging narratives that resonate with the audience. By exploring innovative visualization techniques and narrative structures, we strive to create a powerful medium that simplifies complex data insights, making them approachable and relatable to a wide range of audiences.

News

  • Congrats to Haotian for winning the Honorabl Mention Award at ACM CHI 2024!
  • Two papers were accepted in ACM CHI! Check out our survey on human-AI collaboration in data storytelling and authoring approach on notebook.
  • Congrats to Wenchao Li for successfully defending his PhD thesis titled Interactive Visualization Systems for Narrative-Driven Data Exploration and Communication!
  • Congrats to Xian Xu for successfully defending her PhD thesis titled Data-driven Storytelling Videos: Cinematic Guidelines and Design Space!
  • One paper was accepted in ACM UIST! Wake up static text with deformation :D
  • One paper was accepted in IEEE VIS! Check out evaluation of different explainations for poorly designed vis.
  • Emordle was accepted in IEEE TVCG! Create your own animated wordle and convey emotions better.

Articles

All
Design Patterns/Guidelines
Designing & Evaluation
Authoring/Generation

2024

Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration

Honorable Mention Award

OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through Outlines

Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designs

VisTellAR: Embedding Data Visualization to Short-form Videos Using Mobile Augmented Reality

2023

Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling

Is It the End? Guidelines for Cinematic Endings in Data Videos

Xian Xu, Aoyu Wu, Leni Yang, Zheng Wei, Rong Huang, David Yip, Huamin Qu

2022

Misinformed by Visualization: What Do We Learn From Misinformative Visualizations?

From 'Wow' to 'Why': Guidelines for Creating the Opening of a Data Video with Cinematic Styles

2021

Explore Mindfulness Without Deflection: A Data Art Based on the Book of Songs

A Design Space for Applying the Freytag’s Pyramid Structure to Data Stories

Leni Yang, Xian Xu, Xingyu Lan, Ziyan Liu, Shunan Guo, Yang Shi, Huamin Qu, Nan Cao

Explaining with Examples Lessons Learned from Crowdsourced Introductory Description of Information Visualizations

Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS

InfoColorizer: Interactive Recommendation of Color Palettes for Infographics

Linping Yuan, Ziqi Zhou, Jian Zhao, Yiqiu Guo, Fan Du, Huamin Qu

Augmenting Sports Videos with VisCommentator

Zhutian Chen, Shuainan Ye, Xiangtong Chu, Haijun Xia, Hui Zhang, Huamin Qu, Yingcai Wu
Best Paper Honorable Mention

2020

Improving Engagement of Animated Visualization with Visual Foreshadowing

DancingWords: Exploring Animated Word Clouds to Tell Stories

Xinhuan Shu, Jiang Wu, Xinke Wu, Hongye Liang, Weiwei Cui, Yingcai Wu, Huamin Qu
Best Paper Honorable Mention

Narrative Transitions in Data Videos

Proceedings of the IEEE Visualization Conference (VIS). 2020. Short Paper, Collaborated Project

2019

Towards Automated Infographic Design: Deep Learning-based Auto-Generation of Extensible Timeline

Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs

Designing Narrative Slideshows for Learning Analytics

Qing Chen, Zhen Li, Ting-Chuen Pong, Huamin Qu

2018

Storytelling and Visualization: An Extended Survey

Chao Tong, Richard Roberts, Rita Borgo, Sean Walton, Robert S Laramee, Kodzo Wegba, Aidong Lu, Yun Wang, Huamin Qu, Qiong Luo, Xiaojuan Ma
Information 2018.

2016

Animated Narrative Visualization for Video Clickstream Data

SIGGRAPHAsia 2016.

A Guided Tour of Literature Review: Facilitating Academic Paper Reading with Narrative Visualization

Current Members

Leni Yang
Postdoc
Leo Yu-Ho Lo
PhD Candidate
Linping Yuan
PhD Candidate
Haotian Li
PhD Candidate
Liwenhan Xie
PhD Candidate
Yifan Cao
PhD Candidate
Leixian Shen
PhD Student
Zichen Liu
PhD Student
Yihao Meng
PhD Student

Alumni

Wenchao Li
Huawei
Researcher
Wai Tong
TAMU
AP
Aoyu Wu
Harvard
Postdoc
Yifang Wang
Northwestern
Postdoc
Xinhuan Shu
Newcastle Univ.
AP
Yun Wang
MSRA
Senior Researcher
Qing Chen
Tongji Univ.
AP
Weiwei Cui
MSRA
Senior Researcher
Nan Cao
Tongji Univ.
Professor

Collaborators