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 opinion of a site's usability and trustworthiness. In this project, we aim to automatically adapt website aesthetics to users' various preferences in order to improve this first impression. As a first step, we are working on predicting what people find appealing, and how this is influenced by their demographic backgrounds.
Katharina Reinecke and Krzysztof Z. Gajos. Quantifying Visual Preferences Around the World. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '14, pages 11-20, New York, NY, USA, 2014. ACM.
[Abstract, BibTeX, etc.]
Katharina Reinecke, Tom Yeh, Luke Miratrix, Rahmatri Mardiko, Yuechen Zhao, Jenny Liu, and Krzysztof Z. Gajos. Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, pages 2049-2058, New York, NY, USA, 2013. ACM.
Honorable Mention
[Abstract, BibTeX, Data, etc.]