Analyzing Factors Influencing Adoption of AI in E-Commerce UI/UX Design Using TAM

Abstract

The study investigated the determinants affecting the incorporation of artificial intelligence (AI) within the user interface (UI) and user experience (UX) of e-commerce websites and applications. Utilizing the Technology Acceptance Model (TAM), the research assessed both consumer and commercial receptiveness to AI technologies. Through this model, the research delineated specific factors that provide actionable insights for e-commerce entities aiming to enhance their UI/UX design using AI. These factors are critical as they enable e-commerce businesses to align AI integration with user expectations and preferences, thereby fostering a more intuitive and efficient online shopping environment. The results of the study contribute significantly to the body of knowledge on AI adoption in the UI/UX domain of e-commerce. Furthermore, the research offers a set of strategic recommendations for e-commerce companies. These recommendations are aimed at improving the overall quality of the UI/UX design and augmenting the user experience by leveraging AI capabilities. This enhanced understanding of AI deployment in UI/UX design not only aids in optimizing user satisfaction but also serves as a guideline for e-commerce businesses to innovate and maintain a competitive edge in the market.

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