AI-Augmented Human–Computer Interaction: Advances, Challenges, and Future Directions

Anwar Alhenshiri1; Wesam Elturjman

doi:10.36602/jsba.2026.21.49

المؤلفون

Anwar Alhenshiri1 Department of Computer Science, Faculty of Information Technology, Misurata University
Wesam Elturjman Department of Computer Science, Faculty of Information Technology, Misurata University

DOI:

https://doi.org/10.36602/jsba.2026.21.49

الكلمات المفتاحية:

HCI، AI، Reinforcement Learning، Adaptability, Context، Integration.

الملخص

This paper surveys recent advances in applying Artificial Intelligence (AI) to Human–Computer Interaction (HCI), with an emphasis on adaptive systems, personalization, and intelligent interfaces. AI techniques, particularly natural language processing and reinforcement learning, enable systems to understand user intent, adapt to context, and improve usability across domains such as healthcare, education, and recommender systems. The survey highlights core approaches, their strengths and limitations, and outlines open challenges, offering a roadmap for integrating AI into HCI more effectively.

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