A Micro-Phenomenological Lens for Evaluating Narrative Visualization
A Micro-Phenomenological Lens for Evaluating Narrative Visualization
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用于评估叙事可视化的微观现象学镜头
DOI：
10.1109/beliv.2018.8634072
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
T. Schiphorst
中科院分区：
文献类型：
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作者：
Stanislaw Nowak;L. Bartram;T. Schiphorst
叙事可视化使受众参与到数据故事中，通过使用叙事模式、修辞、视觉设计和内容等策略来唤起情感。这些元素如何联合收割机影响用户体验是复杂的，难以用经验方法衡量。这部分是因为叙事可视化会影响观众的情感和隐含[1]-[3]。为了更好地理解这些机制，对叙事可视化的评估应该通过专注于收集生活经验的描述来捕捉这种丰富的复杂性。微观现象学是一套严格的方法，用于征求对经验的描述，经验表明，它可以改善对经验的其他隐含方面的回忆[4]。基于使用微观现象学访谈来评估静态可视化的工作[5]，我们将这些方法应用于交互式叙事可视化。我们进行了一项小型研究，以探索这些方法在这方面的潜力。我们的研究结果揭示了叙事模式和设计如何影响情感状态，它们如何支持各种形式的探索性分析，以及它们如何促进或阻碍非分析性反思，例如想象可视化中描述的故事。这些类型的见解可以为未来的设计提供信息，并帮助研究人员了解叙事可视化中采用的技术如何以特定且通常是隐含的方式影响用户。
Narrative visualizations engage audience in data stories, evoking emotions by using narrative patterns, rhetoric, visual design, and content among other strategies. How these elements combine to influence user experiences is complex and difficult to measure using empirical methods. This is partly due to the fact that narrative visualizations influence audiences affectively and implicitly [1]–[3]. Evaluations of narrative visualizations that aim to better understand these mechanisms should capture this rich complexity by focusing on gathering descriptions of lived experience. Micro-phenomenology, a rigorous set of methods developed for soliciting descriptions of experiences, has empirically been shown to improve recollection of otherwise implicit aspects of experience [4]. Building on work using micro-phenomenological interviews to evaluate static visualizations [5], we apply these methods to interactive narrative visualizations. We conducted a small study to explore the potential of these methods in this context. Our findings reveal how narrative patterns and designs influence affective states, how they support various forms of exploratory analysis, and how they can facilitate or hinder non-analytical reflection such as the imagining of stories described within visualizations. These types of insights can inform future designs and help researchers understand how techniques employed in narrative visualizations influence users in specific and often implicit ways.