Facilitating Animated Data Video Creation for Data Storytelling with Human-AI Collaboration

PhD Qualifying Examination


Title: "Facilitating Animated Data Video Creation for Data Storytelling with 
Human-AI Collaboration"

by

Mr. Leixian SHEN


Abstract:

Animated data videos have gained significant popularity in recent years. 
However, authoring data videos remains challenging due to the complexity of 
creating and coordinating diverse components (e.g., visualization, animation, 
audio, etc.). Although numerous tools have been developed to streamline the 
process, there is a lack of comprehensive survey and reflection of their design 
paradigms to inform future development. To address this gap, we propose a 
framework for understanding data video creation tools along two dimensions: 
what data video components to create and coordinate, including visual, motion, 
narrative, and audio components, and how to support the creation and 
coordination. By applying the framework to analyze 36 existing tools, we 
summarized key design paradigms of creating and coordinating each component 
based on the varying work distribution for humans and AI in these tools. 
Finally, we share our detailed reflections, highlight gaps from a holistic 
view, and discuss future directions to address them.


Date:                   Wednesday, 6 November 2024

Time:                   3:00pm - 5:00pm

Venue:                  Room 5501
                        Lifts 25/26

Committee Members:      Prof. Huamin Qu (Supervisor)
                        Prof. Cunsheng Ding (Chairperson)
                        Dr. Xiaojuan Ma
                        Dr. Anyi Rao (AMC)