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

Perić, Dražen (author), Bosnić, Zoran (mentor)

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.

• Language: English
• Keywords: web design, machine learning, HTML, CSS, evaluation, chrome extension, computer science, computer and information science, master's degree
• Work type: Master's thesis/paper
• Typology: 2.09 - Master's Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Publisher: [D. Perić]
• Year: 2015
• Number of pages: 55 str.
• PID: 20.500.12556/RUL-30542
• COBISS.SI-ID: 1536203203
• Publication date in RUL: 30.01.2015

Licences

• License: CC BY-NC-SA 2.5 SI, Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Slovenia
• Link: https://creativecommons.org/licenses/by-nc-sa/2.5/si/deed.en
• Description: You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

• Language: Slovenian
• Title: Modeliranje relacije med tehničnimi parametri dizajna spletnih strani in njegovo estetiko

Abstract

Spletno oblikovanje je, že dve desetletji, pomemben del spletnih strani. Podaja jim neko identiteto in se nagiba k temu, da končnemu uporabniku izroči informacije na strukturiran, organiziran in eleganten način. Ker so lahko izkušnje uporabnika tudi slabe, bomo v tem delu magistrske naloge skušali vzpostaviti odnos med spletnim oblikovanjem in uporabniško izkušnjo-predvsem z vidika estetike. Cilj je definirati in predlagati merila za ocenjevanje spletnega oblikovanja, s pomočjo ocenjenih spletnih strani (pristop “crowd-sourcing”) določiti kakovost le-tega ter prikazati odnos med oblikovanjem in uporabniško oceno s pomočjo modelov strojnega učenja. Najuspešnejši model bomo uporabili za gradnjo razširitve v brskalniku Google Chrome, ki ocenjuje spletne strani in oblikovalcu oz. razvijalcu podaja priporočila za izboljšavo spletnega oblikovanja.

• Keywords: spletno oblikovanje, strojno učenje, HTML, CSS, ocenjevanje, chrome razširitev, računalništvo, računalništvo in informatika, magisteriji