IEEE VIS 2024 Content: Animating the Narrative: A Review of Animation Styles in Narrative Visualization

Animating the Narrative: A Review of Animation Styles in Narrative Visualization

Vyri Junhan Yang - Louisiana State University, Baton Rouge, United States

Mahmood Jasim - Louisiana State University, Baton Rouge, United States

Room: Bayshore III

2024-10-17T18:45:00ZGMT-0600Change your timezone on the schedule page
2024-10-17T18:45:00Z
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We explore the design space of narrative visualization, focusing on animation styles. We categorize 80 papers from top visualization venues into six categories, including Animation Style, Interactivity, Methodology, Technology, Evaluation Type , and Application Domain. We discuss the interplay between different visualization techniques and elements and the trend to focus on domain-specific visualizations.
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Keywords

Narrative visualizations, static and animated visualization, categorization, design space

Abstract

Narrative visualization has become a crucial tool in data presentation, merging storytelling with data visualization to convey complex information in an engaging and accessible manner. In this study, we review the design space for narrative visualizations, focusing on animation style, through a comprehensive analysis of 80 papers from key visualization venues. We categorize these papers into six broad themes: Animation Style, Interactivity, Technology Usage, Methodology Development, Evaluation Type, and Application Domain. Our findings reveal a significant evolution in the field, marked by a growing preference for animated and non-interactive techniques. This trend reflects a shift towards minimizing user interaction while enhancing the clarity and impact of data presentation. We also identified key trends and technologies shaping the field, highlighting the role of technologies, such as machine learning in driving these changes. We offer insights into the dynamic interrelations within the narrative visualization domains, and suggest future research directions, including exploring non-interactive techniques, examining the interplay between different visualization elements, and developing domain-specific visualizations.