Assessing Agreement in Human-Robot Dialogue Strategies: A Tale of Two Wizards
Assessing Agreement in Human-Robot Dialogue Strategies: A Tale of Two Wizards
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评估人机对话策略的一致性：两个巫师的故事
DOI：
10.1007/978-3-319-47665-0_60
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
D. Traum
中科院分区：
文献类型：
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作者：
M. Marge;C. Bonial;Kimberly A. Pollard;Ron Artstein;Brendan Byrne;S. Hill;Clare R. Voss;D. Traum
绿野仙踪（Wizard-of-Oz，WOz）方法是虚拟智能体和人机对话研究中的一种常用实验技术，用于在完全自主尚不可能的情况下从人类伙伴那里引出自然的交流行为。对于我们在这里报道的研究的第一阶段，向导扮演对话管理器的角色，充当机器人的对话处理。我们描述了WOz方法中的一个新步骤，它包含两个向导和控制会话：向导的功能很像语料库注释器，被要求在单独的试验中接收相同的口头命令时，对机器人应该如何响应做出独立的判断。我们发现，向导间的讨论后，控制会话和决议与和解协议的后续试点会议成功地影响向导的行为，并显着调整他们的策略。我们的结论是，如果没有控制会话，我们就不太可能实现多个向导带来的表达的自然多样性和用于对自动化系统建模的更好协议。
The Wizard-of-Oz (WOz) method is a common experimental technique in virtual agent and human-robot dialogue research for eliciting natural communicative behavior from human partners when full autonomy is not yet possible. For the first phase of our research reported here, wizards play the role of dialogue manager, acting as a robot’s dialogue processing. We describe a novel step within WOz methodology that incorporates two wizards andcontrol sessions:the wizards function much like corpus annotators, being asked to make independent judgments on how the robot should respond when receiving the same verbal commands in separate trials. We show that inter-wizard discussion after the control sessions and the resolution with a reconciled protocol for the follow-on pilot sessions successfully impacts wizard behaviors and significantly aligns their strategies. We conclude that, without control sessions, we would have been unlikely to achieve both the natural diversity of expression that comes with multiple wizards and a better protocol for modeling an automated system.