Conversational Interaction
Conversational interaction research focuses on understanding and improving human-computer dialogue, aiming to create more natural, engaging, and helpful AI systems. Current research emphasizes enhancing large language models (LLMs) for real-time interaction, improving their alignment with human conversational norms (including politeness and tone), and developing methods for handling complex tasks and diverse user needs, often incorporating multimodal data (speech, gesture, gaze). This field is significant for advancing human-computer interaction, with applications ranging from healthcare and education to assistive technologies for individuals with autism, and improving the efficiency and effectiveness of various professional workflows.
Papers
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