在视觉分析指导的双专家/终端用户评估的启发式方法
IEEE transactions on visualization and computer graphics
|October 30, 2023
概括
本研究介绍了一种实际的方法来评估视觉分析 (VA) 的指导. 它使用专家和最终用户研究验证了该方法,为未来的VA指导评估提供了最佳实践.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 数据可视化 数据可视化
背景情况:
- 视觉分析 (VA) 的指导帮助用户进行复杂的数据探索和分析.
- 之前的研究重点是VA的理论方面和指导的实施.
- 评估辅导增强VA解决方案的有效性仍然是一个重要的研究缺口.
研究的目的:
- 引入和验证用于评估视觉分析指南的实用方法.
- 确定VA指导的关键质量标准,并收集专家的验证.
- 开发用于专家和最终用户对指导增强的VA系统的评估的启发式.
主要方法:
- 开发了一种实用的评估方法,用于指导视觉分析.
- 确定了八个质量标准,并收集了专家对其有效性的反.
- 为专家评估和最终用户研究衍生出两组启发式.
- 将该方法应用于两个案例研究:一个研究原型和一个公共推系统.
主要成果:
- 拟议的方法在两个不同的研究中通过实际应用得到了验证.
- 专家反证实了指导评估所确定的质量标准的有效性.
- 双重方法 (专家和最终用户研究) 为指导质量提供了全面的见解.
- 确定了未来评估的实际挑战和最佳实践.
结论:
- 已经建立并验证了用于评估视觉分析指导的强大而实用的方法.
- 衍生的启发式和质量标准为评估指导增强的VA系统提供了一个结构化的方法.
- 这些发现为视觉分析领域的研究人员和从业人员提供了宝贵的见解和建议.
- 这项工作解决了评估视觉分析指导的开放研究问题,为更有效的系统铺平了道路.
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