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相关概念视频

Relative Frequency Histogram01:14

Relative Frequency Histogram

5.5K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
5.5K
Multiple Bar Graph01:07

Multiple Bar Graph

5.2K
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.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.2K
Probability Histograms01:17

Probability Histograms

11.7K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
11.7K
Time-Series Graph00:54

Time-Series Graph

4.4K
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...
4.4K
Ogive Graph01:07

Ogive Graph

5.6K
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...
5.6K
Histogram01:05

Histogram

13.3K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
13.3K

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相关实验视频

Updated: Jul 10, 2025

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

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漫画板观看时间的统计特征.

Hikaru Ikuta1, Leslie Wöhler2, Kiyoharu Aizawa3

  • 1Department of Information and Communication Engineering, The University of Tokyo, Tokyo, 113-8656, Japan. ikuta@hal.t.u-tokyo.ac.jp.

Scientific reports
|November 21, 2023
PubMed
概括

分析漫画阅读行为揭示了注意力模式. 查看时间与文本长度相关,显示处理双模媒体的个体差异,数据遵循重尾分布.

科学领域:

  • 认知科学 认知科学
  • 人与计算机的交互
  • 媒体研究 媒体研究

背景情况:

  • 漫画是一种双式艺术形式,整合了文字和图像.
  • 了解漫画阅读行为为处理复杂的多式联络媒体提供了洞察力.

研究的目的:

  • 在漫画阅读过程中对人类注意力的定量分析.
  • 调查漫画板观看时间的统计分布.

主要方法:

  • 进行了一项用户研究,其中18名参与者阅读了7卷漫画.
  • 一个定制的界面呈现漫画面板一面板,记录观看时间.
  • 收集了超过99,000个观看时间数据点,并将公开发布.

主要成果:

  • 平均面板查看时间与语音泡中的文本长度成比例.
  • 在这种比例率方面,观察到个人差异.
  • 所有用户的漫画面板观看时间都遵循一个共同的重尾分布.

结论:

  • 面板观看时间是漫画读者注意力的可靠量化指标.
  • 文本长度是影响双式漫画消费注意力分配的重要因素.

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  • 沉重的尾巴分布表明,读者如何与漫画面板互动,有一个一致的模式.