数据转化为音乐的声音化和用户参与
Jonathan Middleton1,2, Jaakko Hakulinen2, Katariina Tiitinen2
1Department of Fine and Performing Arts, Eastern Washington University, Cheney, WA, United States.
Frontiers in big data
|August 28, 2023
概括
数据转化为音乐的声音化 (Data-to-music sonification) 通过音乐元素将数据转化为声音. 这项研究表明,音乐特征增强了用户参与度和复杂数据的分析洞察力,指导了未来的声化设计.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 听觉显示器 听觉显示器
背景情况:
- 数据转化为声音 (声化) 提供了新的分析视角.
- 音乐特征可以集成到音效化中,以增强用户体验.
研究的目的:
- 调查音乐特征对用户参与数据音效化的影响.
- 评估数据转化为音乐音效化的分析潜力.
- 确定在音效设计中使用音乐特征的好处和挑战.
主要方法:
- 应用了现有的用户参与度量表.
- 在旋律,节奏和和弦的背景下评估了声音化.
- 分析了不同音乐条件下的用户参与度.
主要成果:
- 音乐特征显著影响了用户参与数据 sonification.
- 纳入音乐特征的声化证明了增强数据分析的潜力.
- 确定了与音乐声音化方法相关的特定好处和挑战.
结论:
- 音乐元素可以有效地提高用户参与度和数据声音化中的分析实用性.
- 结果为设计多变量数据的有效声化提供了指导.
- 进一步的研究可以探索数据表示的各种音乐参数.
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