注意感知可视化:随着时间的推移,跟踪和响应用户的感知
IEEE transactions on visualization and computer graphics
|September 9, 2024
概括
注意感知可视化 (AAV) 追踪用户的感知,以增强数据探索. 该系统基于用户的注意力来动态修改视觉表示,改善沉浸式分析中的数据发现.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 无处不在的计算无处不在的计算
背景情况:
- 传统的可视化缺乏对用户感知的意识.
- 无处不在和沉浸式分析需要上下文意识的系统.
- 了解用户的注意力对于有效的数据交互至关重要.
研究的目的:
- 引入注意力意识可视化 (AAVs),可以动态地适应用户的感知.
- 开发方法来跟踪用户的目光和对可视化的注意力.
- 为了使可视化能够根据用户的注意力来反应性地修改它们的外观.
主要方法:
- 视觉化和其组件上的目光跟踪.
- 时间注意力跟踪和积累.
- 基于注意力指标的视觉表示的反应性修改.
- 实施2D数据无意识和3D数据意识的AAV系统.
- 视觉反和注意力捕捉机制的定性评估.
主要成果:
- 开发了两个不同的AAV实现:一个用于基于Web的2D可视化,另一个用于3D可视化.
- 这两种方法都能有效地追踪随时间推移的注意力,并相应地修改视觉元素.
- 定性评估为用户反提供了洞察力,并触发了基于注意力的可视化变化机制.
结论:
- 在交互式可视化系统中,AAV提供了一种新的方法来增强用户参与和数据发现.
- 眼神跟踪和注意力反的拟议方法在调整可视化以适应用户感知方面是有效的.
- 未来的工作可以探索更复杂的注意力指标和自适应可视化策略.
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