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相关概念视频

Bar Graph01:07

Bar Graph

16.0K
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...
16.0K
Review and Preview01:13

Review and Preview

8.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
8.9K
Labeling Emotion01:20

Labeling Emotion

116
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
116
Group Design02:01

Group Design

8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
Pie Chart01:04

Pie Chart

13.8K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
13.8K
Time-Series Graph00:54

Time-Series Graph

4.3K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.3K

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相关实验视频

Updated: Jun 13, 2025

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

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在数据可视化中量化对不可变数据特征和设计者选择的情绪反应.

Carter Blair, Xiyao Wang, Charles Perin

    IEEE transactions on visualization and computer graphics
    |September 10, 2024
    PubMed
    概括

    视觉化设计显著影响观众的情绪,影响信任和理解. 设计元素甚至数据特征都会影响情绪反应,指导如何利用这些来提高参与度.

    科学领域:

    • 人与计算机的交互
    • 信息可视化 信息可视化
    • 心理学 心理学 心理学

    背景情况:

    • 情绪在用户如何与数据可视化互动和感知方面发挥着关键作用.
    • 了解可视化设计对情感的影响对于有效的数据通信至关重要.
    • 以前的研究还没有完全量化特定设计和数据元素对用户情绪的影响.

    研究的目的:

    • 量化各种可视化设计元素对用户情绪的影响.
    • 调查数据特征如何独立于意义,影响观众的情绪.
    • 为在可视化设计中利用情绪反应提供指导方针.

    主要方法:

    • 进行了五次众包实验.
    • 操纵的设计元素:颜色,图表类型.
    • 操纵数据的特征:趋势,可变性,密度.
    • 用自我报告的兴奋和价值来衡量情绪.

    主要成果:

    • 多种设计元素显著影响可视化产生的情绪.
    • 数据特征,即使没有固有的意义,也显然会影响观众的情绪.
    • 特定的设计选择可以用来调节情绪反应.

    更多相关视频

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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    相关实验视频

    Last Updated: Jun 13, 2025

    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
    07:12

    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

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    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

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    The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

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    结论:

    • 视觉化设计是唤起特定情绪状态的强大工具.
    • 数据呈现本身具有情感重量,无论数据的语义如何.
    • 建议使用颜色,尺度和图表类型来管理情绪影响的指导方针.