Animated Transitions in Statistical Data Graphics

Heer, Jeffrey; Robertson, George G.

doi:10.1109/tvcg.2007.70539

Cited by 372 publications

(348 citation statements)

References 16 publications

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“…From left to right, this area contains the play button to start/stop the movie, the timeline and time slider box which shows the relative progression of the movie and the slider that can be dragged by users to reach a particular snapshot, the clock showing the current timestamp of the movie being played as obtained from the timestamp information in the event log, and the slider to adjust the playback speed on the fly. As also stated in [24], it is important to play the movie at the right speed. The optimal speed may be hard to predict: animations played too slowly may become boring, whereas the opposite can cause relevant information to be missed.…”

Section: Australia Mapmentioning

confidence: 97%

Turning event logs into process movies: animating what has really happened

et al. 2014

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Abstract-Today's information systems log vast amount of data which contains information about the actual execution of business processes. The analysis of this data can provide a solid starting point for business process improvement. This is the realm of process mining, an area which has provided a repertoire of many analysis techniques. Despite the impressive capabilities of existing process mining algorithms, dealing with the abundance of data recorded by contemporary systems and devices remains a challenge. Of particular importance is the capability to guide the meaningful interpretation of this "ocean" of data by process analysts. To this end, insights from the field of visual analytics can be leveraged. An approach is proposed where process states are reconstructed from event logs and visualised in succession, leading to an animated history of a process. This approach is customisable in how a process state, partially defined through a collection of activity instances, is visualised: one can select a map and specify a projection of activity instances on this map based on their properties. In this paper an implementation of the proposal is described for the open-source process-mining framework ProM along with reporting an evaluation with one of Australia's largest insurance companies: Suncorp.

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Section: Australia Mapmentioning

confidence: 97%

Turning event logs into process movies: animating what has really happened

et al. 2014

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“…Moreover, it can effectively reveal temporal patterns by significantly improving graphical perceptions [23]. Our work highlights animation-based interactions for slicing big data into small data.…”

Section: Big Data Explorationmentioning

confidence: 98%

AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets

Sun

Masiane

et al. 2016

Informatics

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This paper presents the Animated VISualization Tool (AVIST), an exploration-oriented data visualization tool that enables rapidly exploring and filtering large time series multidimensional datasets. AVIST highlights interactive data exploration by revealing fine data details. This is achieved through the use of animation and cross-filtering interactions. To support interactive exploration of big data, AVIST features a GPU (Graphics Processing Unit)-centric design. Two key aspects are emphasized on the GPU-centric design: (1) both data management and computation are implemented on the GPU to leverage its parallel computing capability and fast memory bandwidth; (2) a GPU-based directed acyclic graph is proposed to characterize data transformations triggered by users' demands. Moreover, we implement AVIST based on the Model-View-Controller (MVC) architecture. In the implementation, we consider two aspects: (1) user interaction is highlighted to slice big data into small data; and (2) data transformation is based on parallel computing. Two case studies demonstrate how AVIST can help analysts identify abnormal behaviors and infer new hypotheses by exploring big datasets. Finally, we summarize lessons learned about GPU-based solutions in interactive information visualization with big data.

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“…They complement existing guidelines for use of animation and textnarration (e.g. Heer and Robertson, 2007).  Begin Each Narration from the Same State: Patients are perceptive of subtle unintended differences and will question the meaning of inconsistencies when they appear.…”

Section: Guidelines For Animation and Interactionmentioning

confidence: 99%

“…to reveal trends over time or transformations of graphical representations during exploration (Chevalier et al, 2010;Heer and Robertson, 2007), but new examples and further user studies are needed to sharpen our understanding of which situations benefit from animation and which ones do not (Tversky, 2011;Amershi et al, 2008). Finally the design of TreatmentExplorer was inspired by the Lifeflow visualization, which summarizes temporal patterns of electronic health records (Wongsuphasawat et al, 2011).…”

Section: Medical Decision Aidsmentioning

confidence: 99%

TreatmentExplorer: an Interactive Decision Aid for Medical Risk Communication and Treatment Exploration

et al. 2014

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Medical treatments carry unique benefits and risks which patients must understand in order to decide which option is best for them. Prior research has demonstrated that patients are illequipped to understand the statistical information presented to them through standard decision aids. We describe a prototype decision aid, TreatmentExplorer, which supports patients' needs by presenting treatment outcome, onset of symptoms, and treatment side effects using a novel graphic representation with staged animation and text-only narration. Our prototype also illustrates the use of a data driven personalization approach by using electronic health record data. We report on expert reviews, a pilot study (n=24) and a main study (n=42), which characterize the benefits of TreatmentExplorer over a text-only decision aid as well as a version without staged animation, and conclude with guidelines for designers. Research HighlightsDesign insights and evaluation results for the TreatmentExplorer suggest that patients may experience better knowledge gains if designers: Show outcomes and side effects graphically  Use staged-animation with guided narration  Begin each narration from the same state  Follow a consistent narration order  Provide both replay and skip-through options  Explain one data point per stage  Give users control over the flow of narration

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Animated Transitions in Statistical Data Graphics

Cited by 372 publications

References 16 publications

Turning event logs into process movies: animating what has really happened

Turning event logs into process movies: animating what has really happened

AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets

TreatmentExplorer: an Interactive Decision Aid for Medical Risk Communication and Treatment Exploration

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