Telling Stories about Dynamic Networks with Graph Comics

Bach, Benjamin; Kerracher, Natalie; Hall, Kyle Wm.; Carpendale, Sheelagh; Kennedy, Jessie; Riche, Nathalie Henry

doi:10.1145/2858036.2858387

Cited by 79 publications

(54 citation statements)

References 38 publications

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“…In conclusion, while comics are often perceived as an easy and playful format, they may be exquisitely suited at presenting complex information in a rigorous yet accessible way. In this regard, it would be interesting to explore the application of comics patterns to data visualizations and other types of scientific visualization [Bach et al, 2016;Bach et al, 2017].…”

Section: Visual Designmentioning

confidence: 99%

The potential of comics in science communication

Farinella¹

2018

JCOM

164

115

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Visual narratives, such as comics and animations, are becoming increasingly popular as a tool for science education and communication.Combining the benefits of visualization with powerful metaphors and character-driven narratives, comics have the potential to make scientific subjects more accessible and engaging for a wider audience. While many authors have experimented with this medium, empirical research on the effects of visual narratives in science communication remains scarce. This review summarizes the available evidence across disciplines, highlighting the cognitive mechanisms that may underlie the effects of visual narratives. AbstractPublic engagement with science and technology; Science communication: theory and models; Visual communication

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Section: Visual Designmentioning

confidence: 99%

The potential of comics in science communication

Farinella¹

2018

JCOM

164

115

View full text Add to dashboard Cite

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“…Data‐driven stories that tightly integrate visualizations have become a popular communication device in a variety of fields [SH10]. This has led the visualization research community to investigate the design factors that practitioners employ to craft narratives, from visual & interactive techniques [SH10, SLHS16] to specific genres [AHL*15, AHRL*17, BKH*16]. While specific knowledge on these factors is growing, there is still little understanding of which are predominant for, and how they may be combined to create effective visual narrative flows —which combine a reader's input with story components and congruent visual feedback that tell the story matching the author's intent and voice (Figure ).…”

Section: Introductionmentioning

confidence: 99%

Visual Narrative Flow: Exploring Factors Shaping Data Visualization Story Reading Experiences

McKenna

Riche

Lee

et al. 2017

Computer Graphics Forum

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Many factors can shape the flow of visual data‐driven stories, and thereby the way readers experience those stories. Through the analysis of 80 existing stories found on popular websites, we systematically investigate and identify seven characteristics of these stories, which we name “flow‐factors,” and we illustrate how they feed into the broader concept of “visual narrative flow.” These flow‐factors are navigation input, level of control, navigation progress, story layout, role of visualization, story progression, and navigation feedback. We also describe a series of studies we conducted, which shed initial light on how different visual narrative flows impact the reading experience. We report on two exploratory studies, in which we gathered reactions and preferences of readers for stepper‐ vs. scroller‐driven flows. We then report on a crowdsourced study with 240 participants, in which we explore the effect of the combination of different flow‐factors on readers’ engagement. Our results indicate that visuals and navigation feedback (e.g., static vs. animated transitions) have an impact on readers’ engagement, while level of control (e.g., discrete vs. continuous) may not.

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“…He used it for the scientific study of, for example, horse gaits, and his pictures famously settled the question as to whether horses have all four feet off the ground while trotting. Time juxtaposing is also the base for many forms of sequential art, from ancient Egyptian murals and Greek vase paintings to today's comics [McC94, BKH*16].…”

Section: Static Visualizations As Space‐time Cube Operationsmentioning

confidence: 99%

“…Time juxtaposing is often used in infovis to show temporal data such as time‐evolving maps, trajectories in space [TBC13] and dynamic graphs [LNS11, BBL12, RM13, BPF14a, BHRD*15, BKH*16]. Figure shows forest harvest data over 11 years.…”

Section: Static Visualizations As Space‐time Cube Operationsmentioning

confidence: 99%

A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space‐Time Cubes

Bach

Dragicevic

Archambault

et al. 2016

Computer Graphics Forum

197

244

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International audienceWe present the generalized space-time cube, a descriptive model for visualizations of temporal data. Visualizations are described as operations on the cube, which transform the cube's 3D shape into readable 2D visualizations. Operations include extracting subparts of the cube, flattening it across space or time or transforming the cubes geometry and content. We introduce a taxonomy of elementary space-time cube operations and explain how these operations can be combined and parameterized. The generalized space-time cube has two properties: (1) it is purely conceptual without the need to be implemented, and (2) it applies to all datasets that can be represented in two dimensions plus time (e.g. geo-spatial, videos, networks, multivariate data). The proper choice of space-time cube operations depends on many factors, for example, density or sparsity of a cube. Hence, we propose a characterization of structures within space-time cubes, which allows us to discuss strengths and limitations of operations. We finally review interactive systems that support multiple operations, allowing a user to customize his view on the data. With this framework, we hope to facilitate the description, criticism and comparison of temporal data visualizations, as well as encourage the exploration of new techniques and systems. This paper is an extension of Bach et al.'s (2014) work

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Telling Stories about Dynamic Networks with Graph Comics

Cited by 79 publications

References 38 publications

The potential of comics in science communication

The potential of comics in science communication

Visual Narrative Flow: Exploring Factors Shaping Data Visualization Story Reading Experiences

A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space‐Time Cubes

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