观察者的眼睛:朝着测量可视化复杂性的方向
IEEE transactions on visualization and computer graphics
|December 12, 2025
概括
视觉复杂性是主观的,但大型语言模型 (LLM) 可以有效估计它. 这项研究发现,LLM提供了一种可扩展的方法来评估可视化复杂性,其性能优于传统指标.
科学领域:
- 信息可视化 信息可视化
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 设计有效的可视化需要理解所感知的复杂性.
- 对影响视觉复杂性的图形特征的现有研究是有限的.
- 量化感知到的可视化复杂性对于设计评估至关重要.
研究的目的:
- 收集人类对视觉复杂性的评分.
- 评估用于估计感知可视化复杂性的自动化方法.
- 为了比较图像分析,手动特征编码和大型语言模型 (LLM) 方法.
主要方法:
- 进行了一项众包研究,以收集各种可视化的人类复杂性评级.
- 评估图像分析指标与人类评级的相关性.
- 开发了使用多线性回归与手动特征编码的预测模型.
- 评估了一种零射击的大型语言模型 (LLM) 用于复杂度估计和特征提取.
主要成果:
- 图像复杂度指标显示,与人类感知到的复杂度没有显著的相关性.
- 手动特征编码产生了一个预测模型,但是劳动密集型的.
- 一个零射击的LLM (GPT-4o mini) 在评分复杂性和提取相关特征方面表现出高准确性.
结论:
- 感知到的可视化复杂性是主观的 ("在观察者眼中").
- 零射击的LLM提示提供了一个可扩展和有效的方法,以近似感知可视化复杂性.
- LLM 提供了一个有前途的工具,用于自动化可视化设计评估.
相关概念视频
Design Example: Measuring Distance Between Two Points with Obstructions
370
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
370
Ratio Level of Measurement
20.5K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
20.5K
Measures of Intelligence
8.2K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.2K
Interval Level of Measurement
17.9K
For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
17.9K
Problem Solving: Dimensional Analysis
5.8K
Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
5.8K
Measures of Central Tendency
20.1K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
20.1K


