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Non-verbal behavior is a central challenge in understanding the dynamics of a conversation and the affective states between interlocutors arising from the interaction.
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Exploring Semi-Supervised Learning for Predicting Listener Backchannels. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (, Yokohama, Japan,) (CHI ’21) . Association for Computing Machinery, New York, NY, USA, Article 395, 12 pages
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ValueNet: A New Dataset for Human Value Driven Dialogue System
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Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (London, United Kingdom) (AAMAS ’23) . International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 307–316
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Analyzing Synergetic Functions of Listener’s Head Movements and Aizuchi in Conversations
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How Culture Shapes What People Want From AI
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Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion
Jinhan Wang, Long Chen, Aparna Khare, Anirudh Raju, Pranav Dheram, Di He, Minhua Wu, Andreas Stolcke, and Venkatesh Ravichandran. 2024 · 2024
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