From ‘Wow’ to ‘Why’: Guidelines for Creating the Opening of a Data Video with Cinematic Styles

Wang²,

IEEE Trans. Visual. Comput. Graphics

2024

In recent years, narrative visualization has gained much attention. Researchers have proposed different design spaces for various narrative visualization genres and scenarios to facilitate the creation process. As users' needs grow and automation technologies advance, increasingly more tools have been designed and developed. In this study, we summarized six genres of narrative visualization (annotated charts, infographics, timelines & storylines, data comics, scrollytelling & slideshow, and data videos) based on previous research and four types of tools (design spaces, authoring tools, ML/AI-supported tools and ML/AI-generator tools) based on the intelligence and automation level of the tools. We surveyed 105 papers and tools to study how automation can progressively engage in visualization design and narrative processes to help users easily create narrative visualizations. This research aims to provide an overview of current research and development in the automation involvement of narrative visualization tools. We discuss key research problems in each category and suggest new opportunities to encourage further research in the related domain.

Section: Scrollytelling and Slideshowmentioning

confidence: 99%

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

Wang²,

IEEE Trans. Visual. Comput. Graphics

2024

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

“…Beginnings and endings are the necessary terms in a narrative structure [13]. However, existing research had more exploration about the beginnings of narrative visualization [3,57,71,72]. For instance, Segel and Heer [57] explored and discussed the design patterns of narrative visualization, which paid more attention to the beginning parts of the interaction of the story.…”

Section: Narrative Visualizationmentioning

confidence: 99%

“…For example, Yang et al [72] identified one of the narrative patterns for data story ending as Echoing the beginning. Xu et al [71] derived one of the opening styles as Ending First, which presented associating the opening and the ending as a common nonlinear narrative technique. As such, creating the data story ending can inspire its opening.…”

Section: Narrative Visualizationmentioning

confidence: 99%

See 1 more Smart Citation

Is It the End? Guidelines for Cinematic Endings in Data Videos

Yang

et al. 2023

Self Cite

Data videos are becoming increasingly popular in society and academia. Yet little is known about how to create endings that strengthen a lasting impression and persuasion. To fulfill the gap, this work aims to develop guidelines for data video endings by drawing inspiration from cinematic arts. To contextualize cinematic endings in data videos, 111 film endings and 105 data video endings are first analyzed to identify four common styles using the framework of ending punctuation marks. We conducted expert interviews (N=11) and formulated 20 guidelines for creating cinematic endings in data videos. To validate our guidelines, we conducted a user study where 24 participants were invited to design endings with and without our guidelines, which are evaluated by experts and the general public. The participants praise the clarity and usability of the guidelines, and results show that the endings with guidelines are perceived to be more understandable, impressive, and reflective. CCS CONCEPTS• Human-centered computing → Empirical studies in visualization.

“…These studies provide a solid foundation for designers to create data videos. Xu et al [108] considered data video' opening narrative and visual presentation design. They proposed six cinematic opening styles (symbolism and metaphor, camera eye, big bang, old footage, ending first) and 28 design guidelines for these six styles.…”

Section: Data Videomentioning

confidence: 99%

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

Chen¹,

Cao²,

Wang³

et al. 2022

Preprint

In recent years, narrative visualization has gained a lot of attention. Researchers have proposed different design spaces for various narrative visualization types and scenarios to facilitate the creation process. As users' needs grow and automation technologies advance, more and more tools have been designed and developed. In this paper, we surveyed 122 papers and tools to study how automation can progressively engage in the visualization design and narrative process. By investigating the narrative strengths and the drawing efforts of various visualizations, we created a two-dimensional coordinate to map different visualization types. Our resulting taxonomy is organized by the seven types of narrative visualization on the +x-axis of the coordinate and the four automation levels (i.e., design space, authoring tool, AI-supported tool, and AI-generator tool) we identified from the collected work. The taxonomy aims to provide an overview of current research and development in the automation involvement of narrative visualization tools. We discuss key research problems in each category and suggest new opportunities to encourage further research in the related domain.