论文标题
设计歧义：雪崩预测中的视觉分析
Designing for Ambiguity: Visual Analytics in Avalanche Forecasting
论文作者
论文摘要
模棱两可的信息状态是多种解释是合理的，在视觉分析（VA）系统中是一个普遍的挑战。我们讨论从一个案例研究中学到的教训，该案例设计为加拿大雪崩预报员设计VA工具。雪崩预测是一个基于风险的复杂且协作的决策和分析领域，对人类报告和不确定数据的苛刻经验以及基于知识的解释。报告实践，组织环境和个人报告的特殊性的差异导致各种潜在解释，这些解释必须作为预报员的感官过程的一部分进行协商。我们描述了使用字形来支持歧义下的感官的初步研究。歧义不是公共雪崩预测所独有的。在许多其他领域中，数据的测量方式和报告的方式有所不同，在数据中未明确解释，并要求分析师协商多种潜在含义。我们认为，歧义性的可视化研究不足，将受益于更明确的VA支持。
Ambiguity, an information state where multiple interpretations are plausible, is a common challenge in visual analytics (VA) systems. We discuss lessons learned from a case study designing VA tools for Canadian avalanche forecasters. Avalanche forecasting is a complex and collaborative risk-based decision-making and analysis domain, demanding experience and knowledge-based interpretation of human reported and uncertain data. Differences in reporting practices, organizational contexts, and the particularities of individual reports result in a variety of potential interpretations that have to be negotiated as part of the forecaster's sensemaking processes. We describe our preliminary research using glyphs to support sensemaking under ambiguity. Ambiguity is not unique to public avalanche forecasting. There are many other domains where the way data are measured and reported vary in ways not accounted explicitly in the data and require analysts to negotiate multiple potential meanings. We argue that ambiguity is under-served by visualization research and would benefit from more explicit VA support.
