Preprint Article Version 1 This version is not peer-reviewed

Human-Computer Interaction: Designing Intelligent User Interfaces Using AI and Computer Vision

Version 1 : Received: 29 October 2024 / Approved: 29 October 2024 / Online: 30 October 2024 (02:13:38 CET)

How to cite: Doris, L.; Klinton, B.; Potter, K. Human-Computer Interaction: Designing Intelligent User Interfaces Using AI and Computer Vision. Preprints 2024, 2024102318. https://doi.org/10.20944/preprints202410.2318.v1 Doris, L.; Klinton, B.; Potter, K. Human-Computer Interaction: Designing Intelligent User Interfaces Using AI and Computer Vision. Preprints 2024, 2024102318. https://doi.org/10.20944/preprints202410.2318.v1

Abstract

Human-Computer Interaction (HCI) has evolved significantly with advances in Artificial Intelligence (AI) and Computer Vision (CV), paving the way for more intelligent and adaptive user interfaces. This paper explores the design and implementation of user interfaces that leverage AI and CV to create more intuitive, responsive, and personalized experiences. By integrating techniques such as facial recognition, gesture control, and eye tracking, interfaces can adapt in real-time to users’ actions and intentions, thus enhancing accessibility, efficiency, and engagement across various applications, from healthcare to gaming. The study reviews current advancements and challenges in using AI and CV for HCI, including data privacy, model interpretability, and computational efficiency. Experimental results demonstrate the potential of these technologies to improve interaction quality and user satisfaction. This work aims to contribute to the growing field of intelligent HCI design, offering insights into practical implementations and future research directions in AI-driven interface development.

Keywords

Human-Computer Interaction; User Interfaces; Artificial Intelligence; Computer Vision

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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