@inproceedings{6b2137977500440f8910e55b788206d4,
title = "Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness",
abstract = "Users make lasting judgments about a website's appeal within a split second of seeing it for the first time. This first impression is influential enough to later affect their opinions of a site's usability and trustworthiness. In this paper, we demonstrate a means to predict the initial impression of aesthetics based on perceptual models of a website's colorfulness and visual complexity. In an online study, we collected ratings of colorfulness, visual complexity, and visual appeal of a set of 450 websites from 548 volunteers. Based on these data, we developed computational models that accurately measure the perceived visual complexity and colorfulness of website screenshots. In combination with demographic variables such as a user's education level and age, these models explain approximately half of the variance in the ratings of aesthetic appeal given after viewing a website for 500ms only.",
keywords = "Colorfulness, Complexity, First impression, Modeling, Perception, Prediction, Website aesthetics",
author = "Katharina Reinecke and Tom Yeh and Luke Miratrix and Rahmatri Mardiko and Yuechen Zhao and Jenny Liu and Gajos, {Krzysztof Z.}",
year = "2013",
doi = "10.1145/2470654.2481281",
language = "English",
isbn = "9781450318990",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "2049--2058",
booktitle = "CHI 2013",
note = "31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013 ; Conference date: 27-04-2013 Through 02-05-2013",
}