Feature congestion: a measure of display clutter

By Ruth Rosenholtz, Yuanzhen Li, Jonathan Mansfield, Zhenlan Jin. International Conference on Human Factors in Computing Systems, 2005

350 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Social Psychology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/abd1ff923d29cd05e3d663a904f66a9262a68422

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ruth Rosenholtz
2. Tom Yeh
3. Yuanzhen Li
4. L. Nakano
5. Ali Borji
6. Subhransu Maji

In Human-Computer Interaction

1. Tom Yeh
2. Krzysztof Z Gajos

Citations in the corpus

• Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness (2013, background): “[29] predicted whether maps are perceived as cluttered based on a calculation of several features: colors and luminance, different sizes, shapes, and motions.”
• Measuring visual clutter. (2007, result): “order correlation between subjects was only r = .61, comparable with what we have found for subjective judgments of clutter in maps; Rosenholtz, Li, Mansfield, & Jin, 2005; r = .70.”