Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue
Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue
复制标题
将绿野仙踪技术应用于多模式人机对话
DOI：
--
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Clare R. Voss
中科院分区：
文献类型：
--
作者：
M. Marge;C. Bonial;Brendan Byrne;Taylor Cassidy;A. Evans;S. Hill;Clare R. Voss
我们的总体计划目标是为士兵提供更自然的方式与机器人互动和交流，就像今天士兵与其他士兵交流的方式一样。我们描述了如何将绿野仙踪(WOZ)方法应用于协作探索任务中的多通道人-机器人对话。虽然WOZ方法可以帮助设计机器人行为，但传统方法将决策的负担放在单个向导身上。在这项工作中，我们考虑用两个向导来代替机器人导航和对话管理软件组件。用于获取数据的场景是人类-机器人团队的任务是探索未知环境：人类从远程位置发出口头指令，机器人跟随指令，根据需要通过对话澄清可能的误解。我们发现巫师之间的分工是可行的，这为未来的软件开发带来了希望。
Our overall program objective is to provide more natural ways for soldiers to interact and communicate with robots, much like how soldiers communicate with other soldiers today. We describe how the Wizard-of-Oz (WOz) method can be applied to multimodal human-robot dialogue in a collaborative exploration task. While the WOz method can help design robot behaviors, traditional approaches place the burden of decisions on a single wizard. In this work, we consider two wizards to stand in for robot navigation and dialogue management software components. The scenario used to elicit data is one in which a human-robot team is tasked with exploring an unknown environment: a human gives verbal instructions from a remote location and the robot follows them, clarifying possible misunderstandings as needed via dialogue. We found the division of labor between wizards to be workable, which holds promise for future software development.