Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In conversational agents with multiparty communication functionality, a system needs to be able to identify the addressee for the current floor and respond to the user when the utterance is addressed to the agent. This study proposes some addressee identification models based on speech and gaze information, and tests whether the models can be applied to different proxemics.  build an addressee identification mechanism by implementing the models and incorporate it into a fully autonomous multiparty conversational agent. The system identifies the addressee from online multimodal data and uses this information in language understanding and dialogue management. Finally, an evaluation experiment shows that the proposed addressee identification mechanism works ll in a real-time system, with an F-measure for addressee estimation of 0.8 for agent-addressed utterances.  also found that our system more successfully avoided disturbing the conversation by mistakenly taking a turn when the agent is not addressed.
['Yukiko I. Nakano', 'Naoya Baba', 'Hung-Hsuan Huang', 'Yuki Hayashi']
I am writing a research paper on a idea Implementation and evaluation of a multimodal addressee identification mechanism for multiparty conversation systems
[{"from": "human", "value": "I am writing a research paper on a idea Implementation and evaluation of a multimodal addressee identification mechanism for multiparty conversation systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In conversational agents with multiparty communication functionality, a system needs to be able to identify the addressee for the current floor and respond to the user when the utterance is addressed to the agent. This study proposes some addressee identification models based on speech and gaze information, and tests whether the models can be applied to different proxemics.  build an addressee identification mechanism by implementing the models and incorporate it into a fully autonomous multiparty conversational agent. The system identifies the addressee from online multimodal data and uses this information in language understanding and dialogue management. Finally, an evaluation experiment shows that the proposed addressee identification mechanism works ll in a real-time system, with an F-measure for addressee estimation of 0.8 for agent-addressed utterances.  also found that our system more successfully avoided disturbing the conversation by mistakenly taking a turn when the agent is not addressed."}]