An effective demonstration for group collaboration based on storyline visualization technology

Lü, Qiang; Zhu, Xiangyuan; Liu, Li; Cao, Shu-bo

doi:10.1109/cscwd.2014.6846815

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Inspired by the XKCD's Narrative Charts, Ogawa and Ma introduced Storyline visualizations, including a layout algorithm, that was used to display interactions between software developers [36]. Later research has mostly focused on their automatic generation [7,24,31,33,48,49] and on applying them to different domains. 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].…”

Section: Storyline Visualizationsmentioning

confidence: 99%

“…Later research has mostly focused on their automatic generation [7,24,31,33,48,49] and on applying them to different domains. 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%

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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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Section: Storyline Visualizationsmentioning

confidence: 99%

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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“…The storyline technique was popularized in 2009 when Randall Munroe created several hand-drawn storylines for XKCD comics [30]. The growing interest in applying the concept to visualization led to the development of automatic storyline layouts [25,28,32,39,40]. These techniques can generate storyline visualizations that depict enormous entities and scenic interactions.…”

Section: Storyline Visualizationmentioning

confidence: 99%

“…Tanahashi et al [40] created aesthetic and legible storylines with a layout approach based on a genetic algorithm. They formulated a set of guidelines and aesthetic principles to generate storylines adopted by several follow-up methods [25,28,40]. However, their layout approach is slow when applied to large datasets.…”

Section: Storyline Visualizationmentioning

confidence: 99%

iStoryline: Effective Convergence to Hand-drawn Storylines

Tang

Rubab

Lai

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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Storyline visualization techniques have progressed significantly to generate illustrations of complex stories automatically. However, the visual layouts of storylines are not enhanced accordingly despite the improvement in the performance and extension of its application area. Existing methods attempt to achieve several shared optimization goals, such as reducing empty space and minimizing line crossings and wiggles. However, these goals do not always produce optimal results when compared to hand-drawn storylines. We conducted a preliminary study to learn how users translate a narrative into a hand-drawn storyline and check whether the visual elements in hand-drawn illustrations can be mapped back to appropriate narrative contexts. We also compared the hand-drawn storylines with storylines generated by the state-of-the-art methods and found they have significant differences. Our findings led to a design space that summarizes 1) how artists utilize narrative elements and 2) the sequence of actions artists follow to portray expressive and attractive storylines. We developed iStoryline, an authoring tool for integrating high-level user interactions into optimization algorithms and achieving a balance between hand-drawn storylines and automatic layouts. iStoryline allows users to create novel storyline visualizations easily according to their preferences by modifying the automatically generated layouts. The effectiveness and usability of iStoryline are studied with qualitative evaluations.

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