Storyline Visualizations with Ubiquitous Actors

Giacomo, Emilio Di; Didimo, Walter; Liotta, Giuseppe; Montecchiani, Fabrizio; Tappini, Alessandra

doi:10.1007/978-3-030-68766-3_25

Cited by 10 publications

(13 citation statements)

References 14 publications

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“…In a storyline visualization, the narrative unfolds from left to right; each person is represented as a line. When two people interact at the exact moment, their two lines intersect [65], [76]. Since their presentations share much resemblance, timeline and storyline are discussed together in this section.…”

Section: Timeline and Storylinementioning

confidence: 99%

“…This constraint is a severe problem for some application scenarios, for example, when the time point of the storyline corresponds to a relatively long time interval (e.g., one year), which leads to the fact that the participant can only perform one thing a year in the timeline. To solve this problem, Di Giacomo et al [65] proposed the SUA (Storyline with Ubiquitous Actors) model, which aims to present participants as a tree diagram rather than a line diagram. In addition, several researchers have proposed a series of design guidelines regarding timelines' aesthetics and readability, which can be roughly divided into three categories: (1) try to keep straight lines to minimize line crossings [66], [67], [76], (2) the same set of lines should appear next to each other, and (3) a certain distance should exist between lines [76].…”

Section: Timeline and Storylinementioning

confidence: 99%

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

Chen¹,

Cao²,

Wang³

et al. 2022

Preprint

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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.

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Section: Timeline and Storylinementioning

confidence: 99%

Section: Timeline and Storylinementioning

confidence: 99%

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

Chen¹,

Cao²,

Wang³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, Storylines have been used to visualize dynamic social networks [44,59], collaboration in groups [33,36], genealogical data [28], temperature changes over time [58], and even to analyze eye tracking data [9]. A more recent line of research considers how additional information can be integrated into Storyline visualizations including mixing automatic and human input [50,51], non-linear narratives [37,38] and multiple relationships at once by branching their lines [17].…”

Section: Storyline Visualizationsmentioning

confidence: 99%

Geo-Storylines: Integrating Maps Into Storyline Visualizations

Hulstein

Peña-Araya

Bezerianos

2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1: Three Geo-Storyline designs showing the geo-temporal evolution of the relationships between people. The two selected people in blue moved together from north to south. (A) Coordinated Views include a map on the left and a unique Storyline timeline on the right. While scrolling, links appear between the relationship nearest to the map and the associated locations. (B) In Map Glyphs each relationship is represented by a map with the associated locations drawn in orange. (C) Time Glyphs are composed by a map on the left and a scrollable list of Storyline glyphs on the right. Each Storyline glyph contains all the relationships associated with one location. Gray lines between a location on the map and a storyline glyph indicate the correspondence between the two.

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“…This problem is NP-hard [11,17] and is commonly solved using ILP and SAT formulations [8,18]; it has many similarities with the metro line crossing minimization problem [1][2][3][4]. Recently a new model for storylines was proposed by Di Giacomo et al [7] that allows for one character to be part of multiple interactions at the same point in time, by modeling each character as a tree rather than a curve. Using this model, it is possible to A time interval storyline.…”

Section: Introductionmentioning

confidence: 99%

Crossing Minimization in Time Interval Storylines

Alexander¹,

Nöllenburg²,

Stojanovic³

et al. 2023

Preprint

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Storyline visualizations are a popular way of visualizing characters and their interactions over time: Characters are drawn as x-monotone curves and interactions are visualized through close proximity of the corresponding character curves in a vertical strip. Existing methods to generate storylines assume a total ordering of the interactions, although real-world data often do not contain such a total order. Instead, multiple interactions are often grouped into coarser time intervals such as years. We exploit this grouping property by introducing a new model called storylines with time intervals and present two methods to minimize the number of crossings and horizontal space usage. We then evaluate these algorithms on a small benchmark set to show their effectiveness. * Alexander Dobler was supported by the Vienna Science and Technology Fund (WWTF)[10.47379/ICT19035]. Anaïs Villedieu was supported by the Austrian Science Fund (FWF) under grant P31119. We thank Martin Gronemann for the initial discussion.

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Storyline Visualizations with Ubiquitous Actors

Cited by 10 publications

References 14 publications

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

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

Geo-Storylines: Integrating Maps Into Storyline Visualizations

Crossing Minimization in Time Interval Storylines

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