ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING UI/UX DESIGN FOR DEVELOPING GREEN AND SUSTAINABLE SOFTWARE APPLICATIONS: A MULTIVOCAL LITERATURE REVIEW PROTOCOL WITH PRELIMINARY RESULTS

Abstract

One of the critical phases in software development that must be done accurately is the design of the user interface and user experience design. The way in which users are involved with a system is predominantly shaped by two essential elements: user interface (UI), which refers to the look and feel of the product, and user experience (UX), which encompasses the entire process of the interaction by the user. Our study focuses on the relationship between sustainability and UI/UX design, examining how these design components can be used to create environmentally friendly software with little negative effects on the environment. This protocol describes how factors and principles of sustainable UI/UX design can be ascertained systematically with a special focus on the use of AI in green software engineering. This paper investigates sustainable UI/UX by reviewing literature through a Multivocal literature review (MLR), followed by empirical validation with UX practitioners and researchers. Some specific interesting fields to work are the concept of less but better, energy saving, and AI approaches to the problem. The outcomes are intended as a pathway to a more environmentally responsible design to help researchers and practitioners. Objectives: The objectives of this study is to find key factors and principles of UI/UX design that help in making software more eco-friendly, study the role of AI in enhancing UI/UX design, and explore AI-based practices that contribute to sustainable software development.