Validation of Quantitative Measures for Edge Bundling by Comparing with Human Feeling
Year: 2018
Type: article
Study design: Observational Study
Abstract: This paper describes an analysis of the relationship between human cognition and quantitative measures for a visualization method called edge bundling.Aesthetic rules-based measures, namely, mean edge length difference (MELD), normalized MELD (NMELD), mean occupation area, and edge density distribution (EDD), for evaluating and quantifying the result of edge bundling are proposed. However, comparing these measures with human cognition has not been analyzed. Therefore, a questionnaire survey with approximately 40 respondents was conducted to clarify the relationship between human cognition and these evaluation measures. Results showed that NMELD, MELD, and EDD demonstrate robust and significant correlations with human cognition.
Source: Eurographics
Author: Saga, Ryosuke
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2889409977