Vistrust:一个多维框架和对数据可视化信任的实证研究.
IEEE transactions on visualization and computer graphics
|November 3, 2023
概括
本研究引入了一个多维的框架来理解对数据可视化的信任,超越单项措施. 研究结果突出了认知和情感因素对用户对科学可视化的信任的影响.
科学领域:
- 人与计算机的交互
- 信息可视化 信息可视化
- 认知科学 认知科学
背景情况:
- 信任对于数据可视化解释和决策至关重要.
- 现有的研究经常使用简化的可视化信任度指标.
- 社会科学理论提供了对多维信任形成的见解.
研究的目的:
- 提出一个全面的,多维的概念化和操作化信任数据可视化.
- 通过整合社会科学信任理论和可视化特定因素来扩展现有工作.
- 研究视觉复杂性在建立对科学可视化的信任方面的作用.
主要方法:
- 开发了一个二维框架,区分认知/情感和可视化/数据特定的信任.
- 设计并进行了一项大型众筹研究,以测试该框架.
- 量化了视觉复杂性对科学可视化信任的影响.
主要成果:
- 为拟议的多维信任框架提供经验支持.
- 证明了认知评估对可视化信任的重大影响.
- 强调了情感反应和个人差异在建立信任方面的影响.
- 展示了视觉复杂性在塑造用户信任中的作用.
结论:
- 对数据可视化的信任是多维的,包括认知和情感元素.
- 为了准确地测量和理解可视化信任,需要一个全面的框架.
- 在评估对可视化的信任时,未来的研究应该考虑认知,情感和个人因素.
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