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Artificial Intelligence (AI) is reshaping the foundations of Human–Computer Interaction (HCI) by enabling systems that are adaptive, autonomous, and capable of learning from user behavior. This shift introduces a new paradigm known as Human–AI Interaction (HAI), where users engage not with deterministic tools but with intelligent agents that make decisions, infer intent, and respond contextually. While these advancements create new opportunities for personalization, accessibility, and efficiency, they also raise critical challenges involving trust, transparency, ethical design, emotional sensitivity, and accountability.
This research investigates the transition from HCI to HAI and evaluates the emerging needs for Human-Centered AI systems. A prototype integrating natural language processing and emotion-recognition components was developed to study adaptive interaction. Findings indicate that users value transparency, emotional awareness, and controllability as much as system accuracy. The study highlights the importance of explainability, ethical safeguards, and user-centric design principles to ensure that AI systems remain reliable, responsible, and aligned with human expectations.
"From Human-Computer Interaction to Human-AI Interaction: New Challenges and Opportunities for Enabling Human-Centered AI", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a535-a546, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511064.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator