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High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots
Parallel coordinate plots (PCPs) are among the most useful techniques fo...
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A slice tour for finding hollowness in high-dimensional data
Taking projections of high-dimensional data is a common analytical and v...
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A Moving Least Squares Based Approach for Contour Visualization of Multi-Dimensional Data
Analysis of high dimensional data is a common task. Often, small multipl...
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Voronoi diagram of orthogonal polyhedra in two and three dimensions
Voronoi diagrams are a fundamental geometric data structure for obtainin...
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Implementation Strategies for Multidimensional Spreadsheets
Seasoned Excel developers were invited to participate in a challenge to ...
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Listener-Position and Orientation Dependency of Auditory Perception in an Enclosed Space: Elicitation of Salient Attributes
This paper presents a subjective study conducted on the perception of sa...
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A Visualization Method of Four Dimensional Polytopes by Oval Display of Parallel Hyperplane Slices
A method to visualize polytopes in a four dimensional euclidian space (x...
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Three Orthogonal Dimensions for Psychoacoustic Sonification
Objective: Three perceptually orthogonal auditory dimensions for multidimensional and multivariate data sonification are identified and experimentally validated. Background: Psychoacoustic investigations have shown that orthogonal acoustical parameters may interfere perceptually. The literature hardly offers any solutions to this problem, and previous auditory display approaches have failed to implement auditory dimensions that are perceived orthogonally by a user. In this study we demonstrate how a location in three-dimensional space can be sonified unambiguously by the implementation of perceptually orthogonal psychoacoustic attributes in monophonic playback. Method: Perceptually orthogonal auditory attributes are identified from literature research and experience in music and psychoacoustic research. We carried out an experiment with 21 participants who identified sonified locations in two-dimensional space. Results: With just 5 minutes of explanation and exploration, naive users can interpret our multidimensional sonification with high accuracy. Conclusion: We identified a set of perceptually orthogonal auditory dimensions suitable for three-dimensional data sonification. Application: Three-dimensional data sonification promises blind navigation, e.g. for unmanned vehicles, and reliable real-time monitoring of multivariate data, e.g., in the patient care sector.
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