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Sustainable graphical user interface design for machine learning based material and process optimization algorithm
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School of Engineering |
Master's thesis
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en
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111
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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.