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Data videos effectively combine visual representation with narrative techniques to communicate complex information clearly. However, traditional transition methods often struggle to maintain viewer attention, resulting in increased cognitive load and decreased comprehension. This paper presents Adaptive Visual Anchors (AVA), a novel approach that dynamically guides viewer attention by evolving key visual elements throughout data videos. AVA enhances narrative coherence by ensuring persistent semantic and visual continuity, actively directing viewer focus, and minimizing cognitive load. This paper describes the AVA framework and outlines a controlled experimental design that compares AVA-enhanced transitions with standard transition methods. The study seeks to empirically validate AVA’s impact on viewer comprehension and cognitive efficiency, thereby contributing valuable insights for optimizing narrative visualization design.

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Adaptive Visual Anchors in Data Videos: Guiding Attention Through Visual Persistence

  • 会议论文

  • 发表日期：

    2026年

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  • Yongqing Chen,
  • Jie Liang,
  • Kaye Chan,
  • Nina Errey

摘要

Data videos effectively combine visual representation with narrative techniques to communicate complex information clearly. However, traditional transition methods often struggle to maintain viewer attention, resulting in increased cognitive load and decreased comprehension. This paper presents Adaptive Visual Anchors (AVA), a novel approach that dynamically guides viewer attention by evolving key visual elements throughout data videos. AVA enhances narrative coherence by ensuring persistent semantic and visual continuity, actively directing viewer focus, and minimizing cognitive load. This paper describes the AVA framework and outlines a controlled experimental design that compares AVA-enhanced transitions with standard transition methods. The study seeks to empirically validate AVA’s impact on viewer comprehension and cognitive efficiency, thereby contributing valuable insights for optimizing narrative visualization design.