Colors are obviously important for web sites, but how much? in this paper we try to study the problem of abstracting from the actual content, and analyze if and how colors in images have a higher-level fundamental importance. Focusing on the world top web sites, we collected a large pool (almost two millions) of images, and then investigated the relationships of colors with the attractiveness of a page. Can colors alone boost the success of a page, and in what terms? To answer this question we developed an experiment involving a large number of people, measuring how and how much colors affect a page, abstracting from the content. The results show that, rather surprisingly, colors do have a more fundamental significance that can be decoupled from the underlying shapes. We provide qualitative and quantitative insights on how important colors are, and how they actually impact the success of a site in terms of user perception.

Big Web Colors: Analyzing the World Top Sites

Marchiori, Massimo
;
RIGONI, GIULIO
2018

Abstract

Colors are obviously important for web sites, but how much? in this paper we try to study the problem of abstracting from the actual content, and analyze if and how colors in images have a higher-level fundamental importance. Focusing on the world top web sites, we collected a large pool (almost two millions) of images, and then investigated the relationships of colors with the attractiveness of a page. Can colors alone boost the success of a page, and in what terms? To answer this question we developed an experiment involving a large number of people, measuring how and how much colors affect a page, abstracting from the content. The results show that, rather surprisingly, colors do have a more fundamental significance that can be decoupled from the underlying shapes. We provide qualitative and quantitative insights on how important colors are, and how they actually impact the success of a site in terms of user perception.
2018
Proceedings - 2018 IEEE International Congress on Big Data, BigData Congress 2018 - Part of the 2018 IEEE World Congress on Services
7th IEEE International Congress on Big Data, BigData Congress 2018
9781538672327
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3299879
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact