The “y” of it Matters, Even for Storyline Visualization

Arendt, Dustin; Pirrung, Meg

doi:10.1109/vast.2017.8585487

Cited by 15 publications

(19 citation statements)

References 30 publications

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“…For disease spreading, this encoding can be used to show contacts in the same ward and forms a key part of our approach. Research in storyline visualization has focused on optimizing the compactness of storyline visualizations (either automatic or users-assisted) [4,23,37,47,48,51,61,62,67,68], reducing crossings [25,32,70,79], plotting approaches [60], combining storylines with event-based methods [3], genealogical data [31], streaming and dynamic data [66,81], and contacts between living things or actors exhibiting similar behavior [52]. Reda et al [52] is the closest approach to ours, but it needs to consider all contacts in the storyline.…”

Section: Related Workmentioning

confidence: 99%

“…The y-axis encodes patient location. Fixed vertical positions for individual wards (as in Baling et al [8]) is not scalable due to the larger number of wards and patients (hundreds), but our layout still aims at preserving the vertical position of wards [4]. Line color conveys infection status, and background color is used to encode location information.…”

Section: Transmission Pathway Viewmentioning

confidence: 99%

See 1 more Smart Citation

In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals

Baumgartl

Petzold

Wunderlich

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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Section: Related Workmentioning

confidence: 99%

Section: Transmission Pathway Viewmentioning

confidence: 99%

In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals

Baumgartl

Petzold

Wunderlich

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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“…Storylines have gained popularity for their effectiveness in representing complex stories [7,25,39,40]. In this section, we summarize the key techniques proposed in the current storyline visualization research and the authoring tools available for storytellers.…”

Section: Related Workmentioning

confidence: 99%

“…These elements nicely appear in hand-drawn storylines. Conversely, extant automatic storylines are generated only on the basis of actors, their scenic interactions [25,39], and locations [7], but ignore some aforesaid elements, such as plot. A possible reason for the discrepancy between hand-drawn and automatic storylines is that previous research emphasizes the creation of a compact layout without a complete understanding of user requirements.…”

Section: Storyline Revisitedmentioning

confidence: 99%

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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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Interactive Input and Visualization for Planning with Temporal Uncertainty

et al. 2023

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When planning series of events or processes, everyone has to cope with temporal uncertainty. Popular examples are holiday planning or train trips. There are several approaches to visualize temporal uncertainty when temporal data and events are already defined, but common research usually does not take uncertainty into account, neither as input nor output. To develop our design, we considered a variety of common approaches for uncertainty visualization and used participatory evaluation to validate our concept. Our design aims at using this uncertainty visualization while sketching the plan interactively. The user may draw and connect a variety of activities using different graphical metaphors as hints for uncertainty. The sketches are immediately interpreted and turned into a visualization to check and validate the resulting plan. To evaluate our new visualization and interactive approach, we conducted a quantitative user study. With an average correctness of 81%, the study shows that the visualization and interaction design work well together and that scheduling plans containing temporal uncertainties can be externalized by the majority of participants without major difficulties.

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The “y” of it Matters, Even for Storyline Visualization

Cited by 15 publications

References 30 publications

In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals

In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals

iStoryline: Effective Convergence to Hand-drawn Storylines

Interactive Input and Visualization for Planning with Temporal Uncertainty

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