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Human-centered Artificial Intelligence (AI) are systems that continuously improve with human input while providing an effective experience between human and systems. Human-centered AI aim to push the boundaries of previously limited AI solutions to bridge the gap between machine and human, leading to be better understand human language, cognition, emotion and behavior. Human-Centered Artificial Intelligence: Research and Applications presents the current theories, fundamentals, techniques and diverse applications of human-centered AI. This book begins with addressing the question: Are AI models Explainable, Interpretable, and Understandable? Next, readers are introduced to the design and development process including mind perception and human interfaces. Explores various applications of human-centered AI including human-robot interaction, healthcare and decision making. Reviews extensive research on human-centered AI technology Provides different methods and techniques used to investigate human-AI interaction Discusses the open questions and challenges in trust within human-centered AI Explores how human-centered AI changes and operates in human-machine interaction
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