How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools

Cao, Shixiong; Wang, Jiazhe; Cao, Nan

doi:10.1109/tvcg.2023.3261320

Cited by 27 publications

(6 citation statements)

References 141 publications

(274 reference statements)

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“…For instance, future work may include particle animations and study staging in the animation. In addition, understanding the fundamental construct of emotion delivery remains a critical step towards a more executable taxonomy for affective visualizations for follow-up designs or even automatic generation [8], [16].…”

Section: Implications and Future Workmentioning

confidence: 99%

Creating Emordle: Animating Word Cloud for Emotion Expression

Xie

Shu

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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We propose emordle, a conceptual design that animates wordles (compact word clouds) to deliver their emotional context to audiences. To inform the design, we first reviewed online examples of animated texts and animated wordles, and summarized strategies for injecting emotion into the animations. We introduced a composite approach that extends an existing animation scheme for one word to multiple words in a wordle with two global factors: the randomness of text animation (entropy) and the animation speed (speed). To create an emordle, general users can choose one predefined animated scheme that matches the intended emotion class and fine-tune the emotion intensity with the two parameters. We designed proof-of-concept emordle examples for four basic emotion classes, namely happiness, sadness, anger, and fear. We conducted two controlled crowdsourcing studies to evaluate our approach. The first study confirmed that people generally agreed on the conveyed emotions from well-crafted animations, and the second one demonstrated that our identified factors helped fine-tune the extent of the emotion delivered. We also invited general users to create their own emordles based on our proposed framework. Through this user study, we confirmed the effectiveness of the approach. We concluded with implications for future research opportunities of supporting emotion expression in visualizations.

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Section: Implications and Future Workmentioning

confidence: 99%

Creating Emordle: Animating Word Cloud for Emotion Expression

Xie

Shu

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…There is indeed a gap between authoring tools, AI-supported tools [44], and AI-generator tools [54]. Recommended approaches for the latter are typically solely based on data features or design guidelines ignoring creators' intent [13]. Hence, significant untapped potential exists for tools that bridge technologies with creative practice.…”

Section: Adaptions and Extensionsmentioning

confidence: 99%

Design Patterns for Data-Driven News Articles

Hao,

Wang,

Bach

et al. 2024

Preprint

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Technological advancements have resulted in great shifts in the production and consumption of news articles. This, in turn, lead to the requirement of new educational and practical frameworks. In this paper, we present a classification of data-driven news articles and related design patterns defined to describe their visual and textual components. Through the analysis of 162 data-driven news articles collected from news media, we identified five types of articles based on the level of data involvement and narrative complexity: Quick Update, Briefing, Chart Description, Investigation, and In-depth Investigation. We then identified 72 design patterns to understand and construct data-driven news articles. To evaluate this approach, we conducted workshops with 23 students from journalism, design, and sociology who were newly introduced to the subject. Our findings suggest that our approach can be used as an out-of-box framework for the formulation of plans and consideration of details in the workflow of data-driven news creation.

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“…Recently, the longer formats of digital journalism, also called long-form journalism, are increasingly used by online media as a powerful way of storytelling [6]. Among them, a specific form of longform journalism is called scrollytelling, a combination of storytelling and scrolling [7,8]. Figure 2 shows different examples of DDS.…”

Section: Related Studies 21 Dds Narrative Structurementioning

confidence: 99%

A Design Language for Prototyping and Storyboarding Data-Driven Stories

Asgari,

Hurtut

2024

Applied Sciences

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Data-driven stories (DDS) are digital forms of storytelling that arrange data and visualizations to communicate a narrative of information to an audience. They have been growing rapidly over the past decades. As a result, a great degree of versatility appears in the forms of published DDS. The recent structures of DDS are more complex, respecting their arrangement, composition, features, and inner parts. In the current academic research, neither storytelling techniques nor any taxonomies suggest visual mechanisms to distinguish between different layouts, compositions, and arrangements. The lack of an expressive visual solution that integrates different parts of DDS under one structure prevents the authors from trying more alternative design paths in the story design process. In this proposed work, we unify all the constructing parts of DDS to define the narrative structure as a visually structured representation of the DDS narrative, which is formed and designed by their constructing elements. This solution proposes a design language consisting of a set of design rules that integrate the visual elements to represent the DDS narrative structure. Our evaluation of the audit process out of 100 DDS examples confirms that the design language is comprehensive, expressive, and versatile. Additionally, we developed DataStoryDesign, a system that incorporates this visual solution to facilitate prototyping and storyboarding DDS for a team of DDS authors. The preliminary result of the exploratory evaluation indicates that such a solution is effective in prototyping and storyboarding DDS. In addition, our findings confirmed that the existence of our design language improves the visual communication between different personas in the DDS production workflow.

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How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools

Cited by 27 publications

References 141 publications

Creating Emordle: Animating Word Cloud for Emotion Expression

Creating Emordle: Animating Word Cloud for Emotion Expression

Design Patterns for Data-Driven News Articles

A Design Language for Prototyping and Storyboarding Data-Driven Stories

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