Understanding the Impact of Spatial Immersion in Web Data Stories

2024-11-27

arXiv.org

AI Summary

This study investigates the design features of spatial immersion in visual narrative and their impact on reader experience. To address this, we systematically analyzed 23 web-based immersive data storytelling cases, identifying six empirically grounded spatial immersion visualization patterns—including cinematic framing, natural motion, and direct camera control. Subsequently, we conducted a crowdsourced A/B/C controlled experiment to quantitatively evaluate their effects on key experiential dimensions. Results indicate that spatially immersive data stories significantly enhance reader engagement and persuasiveness compared to static or conventional animated alternatives; however, they yield no significant improvement in comprehensibility or perceived credibility. This work constitutes the first systematic proposal and empirical validation of a design pattern taxonomy for spatial immersion in data storytelling. It thus provides foundational theoretical insights and actionable design guidelines for advancing both the theory and practice of immersive data narrative.

Technology Category

• Data Mining & Knowledge Management: Data Visualization & Summarization
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Humans and AI: Game Design — Procedural Content Generation & Storytelling

Application Category

• Web Mining and Content Analysis: Web data visualization
• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience
• Security and Privacy: Data transparency and provenance

Abstract

An increasing number of web articles engage the reader with the feeling of being immersed in the data space. However, the exact characteristics of spatial immersion in the context of visual storytelling remain vague. For example, what are the common design patterns of data stories with spatial immersion? How do they affect the reader's experience? To gain a deeper understanding of the subject, we collected 23 distinct data stories with spatial immersion, and identified six design patterns, such as cinematic camera shots and transitions, intuitive data representations, realism, naturally moving elements, direct manipulation of camera or visualization, and dynamic dimension. Subsequently, we designed four data stories and conducted a crowdsourced user study comparing three design variations (static, animated, and immersive). Our results suggest that data stories with the design patterns for spatial immersion are more interesting and persuasive than static or animated ones, but no single condition was deemed more understandable or trustworthy.

Problem

• Identify design patterns for spatial immersion in data stories
• Evaluate impact of spatial immersion on reader experience
• Compare effectiveness of static, animated, and immersive designs

Innovation

• Identified six spatial immersion design patterns
• Conducted crowdsourced study with design variations
• Immersive designs more interesting and persuasive