使用智能系统技术进行人机交互的研究趋势

Human interaction involves adapting behaviors, conversations, and nonverbal cues—such as facial expressions, gaze, gestures, and intonation—to social contexts. Human-Agent Interaction (HAI) and Human-Robot Interaction (HRI) aim to understand human behaviors and provide appropriate responses across fields like healthcare, education, and entertainment. Driven by advances in deep learning, LLMs, reinforcement learning, and multimodal learning, this article reviews recent machine-learning-based HAI and HRI research. Key topics include human behavior recognition, dialogue systems, emotion and inten