Off-Screen Desktop

Contributors

Erik Paluka, Christopher Collins

Abstract

We present Off-Screen Desktop, spatial navigation techniques that make use of the space around the display to extend direct manipulation beyond the desktop screen. To enable off-screen direct manipulation, these techniques visually transform the information space without affecting its interaction space. This allows a person to interact with the information space as if it physically extended beyond the boundaries of the display. Off-Screen Desktop is characterized by its implicit transience where the applied visual transformations are automatically reverted when the hand leaves the associated spatial interaction space. We illustrate Off-Screen Desktop with the design of three different techniques, which include Dynamic Distortion, Spatial Panning, and Dynamic Peephole Inset, as well as their evaluation in a comparative study with standard mouse panning. We also demonstrate their applicability with a number of use cases. Study results show that Spatial Panning was overall significantly faster than the other Off-Screen Desktop techniques when employed in two different navigation tasks.

Publications

  • E. Paluka, “Spatial Peripheral Interaction Techniques for Viewing and Manipulating Off-Screen Digital Content,” Master’s Thesis, 2015.
    [Bibtex] [PDF]
    @MastersThesis{pal2015b,
      author =    {Erik Paluka},
      title =    {Spatial Peripheral Interaction Techniques for Viewing and Manipulating Off-Screen Digital Content},
      school =    {University of Ontario Institute of Technology},
      year =    2015
    }

Acknowledgements

Research

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ConToVi: Multi-Party Conversation Exploration using Topic-Space Views

PhysioEx: Visual Analysis of Physiological Event Streams

Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics

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PivotSlice

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#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

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DocuBurst: Visualizing Document Content using Language Structure

Tabletop Text Entry Techniques

Lattice Uncertainty Visualization: Understanding Machine Translation and Speech Recognition

WordNet Visualization

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