Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction

Fuente: arXiv
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Auteurs principaux: Abildayeva, Tamiris, Shamoi, Pakizar
Format: Preprint
Publié: 2024
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author Abildayeva, Tamiris
Shamoi, Pakizar
author_facet Abildayeva, Tamiris
Shamoi, Pakizar
contents Websites form the foundation of the Internet, serving as platforms for disseminating information and accessing digital resources. They allow users to engage with a wide range of content and services, enhancing the Internet's utility for all. The aesthetics of a website play a crucial role in its overall effectiveness and can significantly impact user experience, engagement, and satisfaction. This paper examines the importance of website design aesthetics in enhancing user experience, given the increasing number of internet users worldwide. It emphasizes the significant impact of first impressions, often formed within 50 milliseconds, on users' perceptions of a website's appeal and usability. We introduce a novel method for measuring website aesthetics based on color harmony and font popularity, using fuzzy logic to predict aesthetic preferences. We collected our own dataset, consisting of nearly 200 popular and frequently used website designs, to ensure relevance and adaptability to the dynamic nature of web design trends. Dominant colors from website screenshots were extracted using k-means clustering. The findings aim to improve understanding of the relationship between aesthetics and usability in website design.
format Preprint
id arxiv_https___arxiv_org_abs_2408_00774
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction
Abildayeva, Tamiris
Shamoi, Pakizar
Human-Computer Interaction
Computer Vision and Pattern Recognition
Websites form the foundation of the Internet, serving as platforms for disseminating information and accessing digital resources. They allow users to engage with a wide range of content and services, enhancing the Internet's utility for all. The aesthetics of a website play a crucial role in its overall effectiveness and can significantly impact user experience, engagement, and satisfaction. This paper examines the importance of website design aesthetics in enhancing user experience, given the increasing number of internet users worldwide. It emphasizes the significant impact of first impressions, often formed within 50 milliseconds, on users' perceptions of a website's appeal and usability. We introduce a novel method for measuring website aesthetics based on color harmony and font popularity, using fuzzy logic to predict aesthetic preferences. We collected our own dataset, consisting of nearly 200 popular and frequently used website designs, to ensure relevance and adaptability to the dynamic nature of web design trends. Dominant colors from website screenshots were extracted using k-means clustering. The findings aim to improve understanding of the relationship between aesthetics and usability in website design.
title Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction
topic Human-Computer Interaction
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2408.00774