Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Connecting time-oriented data and information to a coherent interactive visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
An Insight-Based Methodology for Evaluating Bioinformatics Visualizations
IEEE Transactions on Visualization and Computer Graphics
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Beautiful Evidence
Artificial Intelligence in Medicine
Experiencing SAX: a novel symbolic representation of time series
Data Mining and Knowledge Discovery
Overview Use in Multiple Visual Information Resolution Interfaces
IEEE Transactions on Visualization and Computer Graphics
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
LiveRAC: interactive visual exploration of system management time-series data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Artificial Intelligence in Medicine
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Temporal Summaries: Supporting Temporal Categorical Searching, Aggregation and Comparison
IEEE Transactions on Visualization and Computer Graphics
Average task times in usability tests: what to report?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Temporal Information Systems in Medicine
Temporal Information Systems in Medicine
Graphical Perception of Multiple Time Series
IEEE Transactions on Visualization and Computer Graphics
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
Advancing critical care in the ICU: a human-centered biomedical data visualization systems
EHAWC'11 Proceedings of the 2011th international conference on Ergonomics and health aspects of work with computers
Visually exploring multivariate trends in patient cohorts using animated scatter plots
EHAWC'11 Proceedings of the 2011th international conference on Ergonomics and health aspects of work with computers
Visual Analysis of Compliance with Clinical Guidelines
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
EvalBench: a software library for visualization evaluation
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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In many application areas, analysts have to make sense of large volumes of multivariate time-series data. Explorative analysis of this kind of data is often difficult and overwhelming at the level of raw data. Temporal data abstraction reduces data complexity by deriving qualitative statements that reflect domain-specific key characteristics. Visual representations of abstractions and raw data together with appropriate interaction methods can support analysts in making their data easier to understand. Such a visualization technique that applies smooth semantic zooming has been developed in the context of patient data analysis. However, no empirical evidence on its effectiveness and efficiency is available. In this paper, we aim to fill this gap by reporting on a controlled experiment that compares this technique with another visualization method used in the well-known KNAVE-II framework. Both methods integrate quantitative data with qualitative abstractions whereas the first one uses a composite representation with color-coding to display the qualitative data and spatial position coding for the quantitative data. The second technique uses juxtaposed representations for quantitative and qualitative data with spatial position coding for both. Results show that the test persons using the composite representation were generally faster, particularly for more complex tasks that involve quantitative values as well as qualitative abstractions. © 2012 Wiley Periodicals, Inc.