Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Toward a New Generation of Virtual Humans for Interactive Experiences
IEEE Intelligent Systems
Identifying the addressee in human-human-robot interactions based on head pose and speech
Proceedings of the 6th international conference on Multimodal interfaces
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Reliability measurement without limits
Computational Linguistics
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Recognizing visual focus of attention from head pose in natural meetings
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
The organisation of floor in meetings and the relation with speaker addressee patterns
Proceedings of the 2nd international workshop on Social signal processing
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
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In this paper, we describe the development of a meeting assistant agent that helps remote meeting participants by notifying them when they are being addressed. We present experiments that have been conducted to develop machine classifiers to decide whether "you are being addressed" where "you" refers to a fixed (remote) participant in a meeting. The experimental results back up the choices made regarding the selection of data, features, and classification methods. We discuss variations of the addressee classification problem that have been considered in the literature and how suitable they are for addressee detection in a system that plays a role in a live meeting.