A real-time system that classifies user interruptions into four intents and adapts robot responses, achieving 93.69% successful handling in a 21-participant study.
What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents
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Interruption Handling for Conversational Robots
A real-time system that classifies user interruptions into four intents and adapts robot responses, achieving 93.69% successful handling in a 21-participant study.