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Authoring logically sequenced visual data stories with Gravity
Journal of Computer Languages ( IF 1.7 ) Pub Date : 2020-03-31 , DOI: 10.1016/j.cola.2020.100961
Humphrey O. Obie , Caslon Chua , Iman Avazpour , Mohamed Abdelrazek , John Grundy , Tomasz Bednarz

Visual data stories have been shown to significantly aid the comprehension and short-term memorability of statistical facts and value messages. Hence, they are a promising medium for communicating complex information to a target audience, fulfilling the communicative goal of information visualisation. However, creating visual data stories often requires a plethora of tools to execute the visual data story creation process – creating visualisations, developing a logical connection between visualisations, and presenting the story based on the meaningfully sequenced visualisations. Current information visualisation tools either focus primarily on exploration or lack sequencing models for visualisation presentation, even though transitioning and sequencing have been shown to affect user understanding and interpretation of visualisations. We present Gravity, a system that consolidates the different phases of the visual data story creation process, and recommends and visualises logically sequenced sets of interactive visualisations to support the presentation of coherent narratives and visual data stories. We also report on an evaluation study with representative participants. Our results show that participants learned to use the system within a short time and successfully created visual data stories with minimal guidance.



中文翻译:

用Gravity编写逻辑顺序的视觉数据故事

视觉数据故事已被证明对统计事实和价值信息的理解和短期记忆能力有很大帮助。因此,它们是用于将复杂信息传达给目标受众,实现信息可视化的交流目标的有前途的媒介。但是,创建可视数据故事通常需要大量工具来执行可视数据故事创建过程-创建可视化,建立可视化之间的逻辑联系并根据有意义的顺序可视化呈现故事。尽管已显示过渡和排序会影响用户对可视化的理解和解释,但当前的信息可​​视化工具要么主要专注于探索,要么缺少用于可视化呈现的排序模型。我们介绍了Gravity,该系统可整合视觉数据故事创建过程的不同阶段,并推荐和可视化按逻辑顺序排列的交互式可视化集,以支持呈现连贯的叙述和视觉数据故事。我们还报告了与代表性参与者进行的评估研究。我们的结果表明,参与者学会了在短时间内使用该系统,并在最少的指导下成功创建了视觉数据故事。

更新日期:2020-03-31
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