Addressee identification for human-human-agent multiparty conversations in different proxemics-Reference-Cited by-同舟云学术

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Addressee identification for human-human-agent multiparty conversations in different proxemics

Published:2012 Issue: Volume: Page:
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Container-title:Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction - Gaze-In '12
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Author:

Baba Naoya,Huang Hung-Hsuan,Nakano Yukiko I.

Publisher

ACM Press

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Life Experiment Metrics for Evaluating Human-Robot Collaborative Navigation Tasks;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

2. Addressee Detection Using Facial and Audio Features in Mixed Human–Human and Human–Robot Settings: A Deep Learning Framework;IEEE Systems, Man, and Cybernetics Magazine;2023-04

3. Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework;Cognitive Systems Research;2021-12

4. “Speech Melody and Speech Content Didn’t Fit Together”—Differences in Speech Behavior for Device Directed and Human Directed Interactions;Advances in Data Science: Methodologies and Applications;2020-08-27

5. HUMAINE: Human Multi-Agent Immersive Negotiation Competition;Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems;2020-04-23

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