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This conference paper by Chutisant Kerdvibulvech and Xudong Jiang, presented at HCII 2025, explores how generative AI is reshaping Human-Computer Interaction (HCI) across four key dimensions: user interaction, AI-driven emotional recognition, ethical considerations, and future directions. The authors argue that while traditional HCI frameworks relied on rule-based systems, modern AI-driven approaches incorporate dynamic learning, natural language processing, and emotion recognition to create more adaptive, intuitive, and personalized user experiences.

The paper highlights both the promise and the challenges of integrating AI into HCI. While AI significantly enhances usability and accessibility, the authors emphasize that issues such as algorithmic bias, data privacy, and ethical transparency must be carefully addressed to ensure responsible implementation. The work is published as part of the Lecture Notes in Computer Science series (vol. 15821) by Springer, and was partially supported by the National Institute of Development Administration (NIDA) in Thailand. The paper draws on a broad range of references spanning healthcare AI, metaverse learning, multimodal emotion recognition, and AI chatbot effectiveness, positioning it as a survey-style contribution mapping the evolving landscape of AI-enhanced HCI.