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Related Concept Videos

Transformation01:26

Transformation

32
Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
32
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

428
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
428
Virtual Work01:20

Virtual Work

880
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
880

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This is the Table I Want! Interactive Data Transformation on Desktop and in Virtual Reality.

Sungwon In, Tica Lin, Chris North

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    Virtual reality (VR) and direct interaction can aid non-programmers in data transformation tasks. While desktop and VR showed similar task completion times, VR better supported data provenance and sense-making for an immersive data science workflow.

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    Area of Science:

    • Data Science
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Data transformation is crucial in data science, traditionally requiring programming expertise.
    • There's a growing demand for user-friendly, interface-based tools for non-programmers.
    • Advancements in interaction techniques and computing environments necessitate exploring new tools.

    Purpose of the Study:

    • To empirically investigate the impact of interaction techniques and environments on data transformation.
    • To assess the benefits of direct interaction and virtual reality (VR) for data transformation tasks.
    • To compare gesture interaction with standard WIMP interfaces in both desktop and VR environments.

    Main Methods:

    • Comparison of gesture interaction versus a standard Window, Icon, Menu, Pointer (WIMP) user interface.
    • Evaluation conducted on both desktop and virtual reality (VR) platforms.
    • Empirical testing using specific data sets and transformation tasks.

    Main Results:

    • No significant difference in time performance between desktop and VR environments.
    • VR showed preliminary evidence of enhanced support for data provenance.
    • VR demonstrated improved sense-making capabilities during the data transformation process.

    Conclusions:

    • Virtual reality (VR) offers potential benefits for data transformation, particularly in supporting provenance and sense-making.
    • Direct interaction and VR can enhance the data science workflow for non-programmers.
    • VR facilitates an iterative and fully immersive data science experience.