DancingBoard: Streamlining the Creation of Motion Comics to Enhance Narratives

📅 2025-03-12
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
Amateur creators face significant barriers to dynamic comic production—including high technical thresholds, complex workflows, and dependence on specialized skills—limiting adoption in narrative, educational, and advertising applications. To address this, we propose a lightweight, integrated authoring tool designed for non-professionals, introducing the first “guided motion comic authoring paradigm.” This paradigm integrates structured narrative prompting, a reusable motion template library, and a stepwise visual workflow. Guided by user studies (N=23), expert interviews, and design space analysis, our approach employs survey-driven design, motion pattern abstraction and modeling, and guided UI/UX strategies. Evaluation demonstrates substantially improved authoring efficiency and reduced cognitive load. Audience assessment (N=18) confirms that resulting motion comics achieve narrative effectiveness comparable to those produced with professional tools. This work establishes a novel methodology and practical framework for democratizing dynamic comic creation.

Technology Category

Application Category

📝 Abstract
Motion comics, a digital animation format that enhances comic book narratives, have wide applications in storytelling, education, and advertising. However, their creation poses significant challenges for amateur creators, primarily due to the need for specialized skills and complex workflows. To address these issues, we conducted an exploratory survey (N=58) to understand the challenges associated with creating motion comics, and an expert interview (N=4) to identify a typical workflow for creation. We further analyzed $95$ online motion comics to gain insights into the design space of character and object actions. Based on our findings, we proposed DancingBoard, an integrated authoring tool designed to simplify the creation process. This tool features a user-friendly interface and a guided workflow, providing comprehensive support throughout each step of the creation process. A user study involving 23 creators showed that, compared to professional tools, DancingBoard is easily comprehensible and provides improved guidance and support, requiring less effort from users. Additionally, a separate study with $18$ audience members confirmed the tool's effectiveness in conveying the story to its viewers.
Problem

Research questions and friction points this paper is trying to address.

Simplify motion comic creation for amateur creators
Address challenges of specialized skills and complex workflows
Enhance narrative storytelling through user-friendly authoring tools
Innovation

Methods, ideas, or system contributions that make the work stand out.

Integrated authoring tool simplifies motion comic creation
User-friendly interface and guided workflow enhance usability
Comprehensive support reduces effort for amateur creators
Longfei Chen
Longfei Chen
ShanghaiTech University
Data Visualization
S
Shengxin Li
School of Information Science and Technology, ShanghaiTech University, Shanghai, China
Z
Ziang Li
College of Design and Innovation, Tongji University, Shanghai, China
Quan Li
Quan Li
Tenure-Track Assistant Professor, ShanghaiTech University
Explainable Machine LearningSocial MediaData VisualizationVisual Analyticsand Human-Computer