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Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Vis-A-Ware: Integrating Spatial and Non-Spatial Visualization for Visibility-Aware Urban Planning.

Thomas Ortner, Johannes Sorger, Harald Steinlechner

    IEEE Transactions on Visualization and Computer Graphics
    |January 27, 2016
    PubMed
    Summary

    Vis-A-Ware is a new visualization system that helps urban planners evaluate and compare proposed buildings using 3D visibility analysis. It enables faster, more objective assessments with new metrics for multiple viewpoints.

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    Area of Science:

    • Urban Planning
    • Computer Science
    • Geographic Information Systems (GIS)

    Background:

    • 3D visibility analysis is crucial for urban planning to assess building visual impacts.
    • Current methods are time-consuming and limited in evaluating numerous candidate buildings and viewpoints.
    • Urban planners lack quantitative measures for evaluating and comparing building visibility.

    Purpose of the Study:

    • To design and evaluate Vis-A-Ware, a visualization system for 3D visibility analysis.
    • To enable qualitative and quantitative evaluation, ranking, and comparison of candidate buildings.
    • To support urban planning by improving the efficiency and objectivity of visibility assessments.

    Main Methods:

    • Developed Vis-A-Ware, a system integrating 3D spatial and non-spatial data views with linked interaction.
    • Created four novel quantitative metrics for visibility evaluation in collaboration with urban planning experts.
    • Conducted a use case scenario and gathered feedback from urban planning domain experts.

    Main Results:

    • Vis-A-Ware integrates 3D urban scenes with visibility data through linked views and interactions.
    • Four new metrics provide quantitative evaluation capabilities for visibility analysis.
    • Domain experts found Vis-A-Ware valuable for efficient and objective complex question answering.

    Conclusions:

    • Vis-A-Ware enhances 3D visibility analysis in urban planning.
    • The system facilitates more efficient and objective evaluation and comparison of candidate buildings.
    • Vis-A-Ware empowers urban planners to address complex visibility assessment challenges.