AI-Assisted UI Design: Enhancing Efficiency and Creativity through Generative Tools

Lingxin Sun

doi:10.70393/6a6374616d.333638

Authors

Lingxin Sun Rochester Institute of Technology

DOI:

https://doi.org/10.70393/6a6374616d.333638

ARK:

https://n2t.net/ark:/40704/JCTAM.v3n1a03

Disciplines:

Computer Application Technology

Subjects:

Human-Computer Interaction

References:

36

Keywords:

Artificial Intelligence, User Interface Design, AI-enabled Web Applications, Human–AI Interaction

Abstract

The growing adoption of Artificial Intelligence (AI) in web-based products has made the design of user interfaces that effectively surface and control AI capabilities increasingly critical. In this context, understanding the key characteristics and best practices for user interfaces that support AI-driven functionality is both timely and practically relevant. This research discusses the fundamental principles of user interface (UI) design. It analyzes the specific challenges posed by integrating AI into web applications, including transparency, controllability, and appropriate levels of automation. It emphasizes the need to balance the advanced capabilities of AI systems with users’ ability to understand, trust, and steer those systems. This paper examines the dynamic responses of AI-driven recommendation systems and personalized interfaces on various systems, as well as the design of user preferences and adaptive layouts. Based on this analysis, a feasible evaluation framework for recommendation systems with practical applications is presented. This framework supports empirical evaluations conducted through usability testing to demonstrate significant effects, thereby helping designers and developers achieve more intuitive and noticeable interface effects for AI-driven applications.

Author Biography

Lingxin Sun, Rochester Institute of Technology

College of Art and Design, Rochester Institute of Technology, Rochester, USA.

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