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Related Concept Videos

Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
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Effective communication among healthcare professionals during hand-off reporting is essential to delivering safe and continuous patient care. Common professional interactions include reports to healthcare team members, hand-off, and transfer reports. Nurses routinely report information to other healthcare team members and also urgently contact healthcare providers to report changes in patient status.
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Ogive Graph01:07

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Graphical and Analytic Representation of Sinusoids01:20

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Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
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Unlocking Semantic Information Representation in Bar Graph Design.

Lingqi Wang, Jiangyue Zhang, Min Weng

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    Visual channels like color and shape in bar graphs significantly impact semantic understanding. Conceptually relevant designs aid comprehension, especially for concrete ideas, while emotional alignment helps with abstract concepts.

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    Area of Science:

    • Data Visualization
    • Cognitive Psychology
    • Human-Computer Interaction

    Background:

    • Bar graphs are common but often focus on numerical data, neglecting semantic representation.
    • Unconventional bar graph designs are emerging to convey richer semantic information.
    • Understanding how visual elements influence semantic comprehension is crucial for effective data communication.

    Purpose of the Study:

    • To investigate the impact of color, shape, and orientation in bar graphs on semantic information comprehension.
    • To explore how visual channels evoke sensorimotor and emotional experiences for semantic representation.
    • To differentiate the effects of these visual channels on concrete versus abstract concepts.

    Main Methods:

    • Formulated research hypotheses based on prior studies.
    • Conducted two experiments to test the hypotheses.
    • Analyzed the influence of color, shape, and orientation on semantic comprehension.

    Main Results:

    • Conceptually relevant colors and shapes facilitate semantic representation by evoking sensorimotor experiences, particularly for concrete concepts.
    • Colors and orientation aligned with affective valence aid semantic representation through emotional experiences, more so for abstract concepts.
    • Shape-embellished bars can impair precise numerical value judgment.

    Conclusions:

    • Visual channels in bar graphs play a vital role in representing semantic information beyond numerical data.
    • Tailoring visual elements like color and shape to concept type (concrete/abstract) can optimize semantic communication.
    • Designers should balance semantic enhancement with potential impacts on numerical accuracy.