Sustainable graphical user interface design for machine learning based material and process optimization algorithm

Thumbnail Image

Files

master_Qureshi_Muhammad_2025.pdf (2.84 MB)

URL

Journal Title

Journal ISSN

Volume Title

School of Engineering | Master's thesis
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.

Authors

Date

2025-04-27

Department

Major/Subject

Product Development

Mcode

Degree programme

Master's programme in Mechanical Engineering

Language

en

Pages

111

Series

Abstract

The environmental impact of digital media has increased the need for sustainable interface design. This thesis explores how sustainable design choices impact the usability of graphical user interfaces (GUIs), using the Bayesian Optimization for Materials and Processes (BOMP) algorithm as a case study. A sustainable GUI was developed based on user-centric design (UCD) principles and Sustainable Interaction Design (SID) practices, such as minimizing screen transitions, reducing animations, and applying energy-efficient colour schemes. Usability was evaluated through user-based testing, think-aloud protocols, and the System Usability Scale (SUS) questionnaire. Five participants from industry and research backgrounds completed the optimization process while their task performance, feed-back, and energy consumption data were recorded. The results show that sustainable design practices can achieve energy savings without compromising usability, although some tasks revealed a need for better alignment with user expectations. The findings emphasize the importance of balancing usability and sustainability and highlight the need for integrated evaluation frameworks for future sustainable GUI development.

Description

Supervisor

Björklund, Tua

Thesis advisor

Koivisto, Juha

Keywords

sustainable user interface (UI), user-centric design (UCD), usability evaluation, GUI energy optimization, system usability scale (SUS), human computer interaction (HIC)

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202505193801

Collections

[dipl] Insinööritieteiden korkeakoulu / ENG