At the Peak: Empirical Patterns for Creating Climaxes in Data Videos.

Zheng Wei, Yuelu Li, Wenchuan Lu, Qiming Gu, Huamin Qu, Xian Xu
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Abstract

We identify and evaluate 40 recurring design patterns for crafting emotionally resonant climaxes in data videos, advancing data-driven storytelling research. Despite the growing popularity of data videos, guidance on designing narrative climaxes that maximise viewers' emotional engagement remains scarce. To address this gap, our work leverages emotional theory to derive patterns for crafting emotionally resonant climaxes of data videos. We first analyzed the climaxes of 96 data videos, categorizing them into eight emotional dimensions based on Plutchik's basic emotion model. Based on data analysis, we then formulated 40 patterns for creating narrative climaxes. To evaluate the patterns when applied as design hints, we conducted a user study with 48 participants, where Group A created data video climaxes using our patterns, Group B created them without our patterns, and Group C used other patterns as the baseline. Evaluations by two experts and 20 general audiences revealed that the climaxes created with the patterns were more emotionally engaging. The participants also praised the clarity and practicality of the patterns.

在顶峰:在数据视频中创造高潮的经验模式。
我们确定并评估了40种反复出现的设计模式,用于在数据视频中制作情感共鸣的高潮,推进数据驱动的故事叙述研究。尽管数据视频越来越受欢迎,但如何设计叙事高潮、最大限度地提高观众的情感投入,仍然缺乏指导。为了解决这一差距,我们的工作利用情感理论推导出制作数据视频的情感共鸣高潮的模式。我们首先分析了96个数据视频的高潮,并基于Plutchik的基本情感模型将其分为8个情感维度。基于数据分析,我们制定了40种创造叙事高潮的模式。为了评估应用于设计提示的模式,我们对48名参与者进行了用户研究,其中a组使用我们的模式创建数据视频高潮,B组使用我们的模式创建数据视频高潮,C组使用其他模式作为基线。两名专家和20名普通观众的评估显示,用这些图案创造的高潮在情感上更吸引人。与会者还赞扬了这些模式的清晰性和实用性。
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