Modeling relation between technical parameters of web page design and its aestethics

Dražen Perić (2015) Modeling relation between technical parameters of web page design and its aestethics. MSc thesis.

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Abstract

Web design has been an important part of websites for almost two decades now. It gives identity to websites and tends to deliver information to end users in a structured, organized and elegant way. Occasionally it also fails, delivering poor experience to end users who want to access information they are looking for. In this thesis, we model a relationship between the attributional description and user experience of web design, focusing on the aesthetic point of view. Our goals are the following: to define attributes which can describe web page design in a suitable way, to collect a set of websites, calculate their descriptors, supplement them with human-based aesthetics ratings through crowd-sourcing, and model the relationship between the design and the ratings by using machine learning models. We use the best performing model to develop a Chrome extension prototype that will give users the possibility to evaluate and analyze the design of websites.

Item Type:

Thesis (MSc thesis)

Keywords:

web design, machine learning, HTML, CSS, evaluation, chrome extension

Number of Pages:

Language of Content:

English

Mentor / Comentors:

Name and Surname	ID	Function
izr. prof. dr. Zoran Bosnić	3826	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536203203)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

2906

Date Deposited:

27 Jan 2015 12:32

Last Modified:

20 Feb 2015 12:39

URI:

http://eprints.fri.uni-lj.si/id/eprint/2906

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