Conversational gaze mechanisms for humanlike robots

Conversational gaze mechanisms for humanlike robots
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类人机器人的对话凝视机制

DOI:
10.1145/2070719.2070725
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发表时间:
2012
期刊:
ACM Trans. Interact. Intell. Syst.
影响因子:
--
通讯作者:
H. Ishiguro
H. Ishiguro
中科院分区:
--
文献类型:
--
作者:
Bilge Mutlu;T. Kanda;J. Forlizzi;J. Hodgins;H. Ishiguro

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在对话期间,演讲者采用多种口头和非语言机制来确定谁参与对话,何时以及以什么身份参加对话。凝视提示和机制在建立对话者的参与者角色,管理人员转弯和信号传导话语结构方面尤其重要。如果人类般的机器人要与人进行流利的对话,他们将需要有效地使用这些凝视机制。当前的工作调查了人们对关键对话凝视机制的使用,如何在人类式机器人中设计和实施,以及这些信号是否有效地塑造了人类机器人的对话。我们特别关注类似人类的凝视机制是否可以帮助机器人发出不同的参与者角色,管理转交以及塑造对话者如何看待机器人和对话的方式。对这些机制的评估涉及36个三方人类机器人对话的试验。在这些试验中,机器人使用凝视机制向其对话伙伴发出信号,他们的两个收件人和旁观者和旁观者,或一个收件人和非参与者。结果表明,参与者在97%的时间内符合这些预期的角色。他们的对话角色影响了他们与机器人的融洽关系,与对话伙伴的团体感以及对任务的关注。
During conversations, speakers employ a number of verbal and nonverbal mechanisms to establish who participates in the conversation, when, and in what capacity. Gaze cues and mechanisms are particularly instrumental in establishing the participant roles of interlocutors, managing speaker turns, and signaling discourse structure. If humanlike robots are to have fluent conversations with people, they will need to use these gaze mechanisms effectively. The current work investigates people's use of key conversational gaze mechanisms, how they might be designed for and implemented in humanlike robots, and whether these signals effectively shape human-robot conversations. We focus particularly on whether humanlike gaze mechanisms might help robots signal different participant roles, manage turn-exchanges, and shape how interlocutors perceive the robot and the conversation. The evaluation of these mechanisms involved 36 trials of three-party human-robot conversations. In these trials, the robot used gaze mechanisms to signal to its conversational partners their roles either of two addressees, an addressee and a bystander, or an addressee and a nonparticipant. Results showed that participants conformed to these intended roles 97% of the time. Their conversational roles affected their rapport with the robot, feelings of groupness with their conversational partners, and attention to the task.
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DOI: 10.1145/1314303.1314311
发表时间: 2007
期刊: ACM Transactions on Multimedia Computing, Communications, and Applications
影响因子: --
作者:
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通讯作者: Murray N
沉浸式协作虚拟环境中头像注视的眼动追踪和交互分析
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发表时间: 2008
期刊: --
影响因子: --
作者:
Steptoe W
通讯作者: Steptoe W