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Choosing answerers by observing gaze responses for museum guide robots

机译:通过观察博物馆向导机器人的注视反应来选择答题者

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This paper presents a method of selecting the answerer from audiences for a museum guide robot. We performed the preliminary experiments that a robot distributed its gaze towards visitors to select an answerer and analyzed visitors' responses. From these experiments, we have found that the visitors who are asked questions by the robot feel embarrassed when they have no prior knowledge about the question and the visitor's gaze during the question plays an important role to avoid being asked question. Based on these findings we developed functions for a guide robot to select the answerer by observing behaviors of multiple visitors. Multiple visitors' head motions are tracked and recognized by using an omni-directional camera and a laser range sensor. The robot detects the visitors' positive and negative responses by observing their head motions while asking questions. We confirmed the effectiveness of our method by experiments.
机译:本文提出了一种从观众中选择答题器的方法,用于博物馆向导机器人。我们进行了初步实验,即机器人将视线分配给访问者以选择应答者,并分析了访问者的反应。从这些实验中,我们发现,被机器人问到问题的访问者在对问题没有先验知识的情况下会感到尴尬,并且在提问过程中访问者的目光在避免被问到问题方面起着重要的作用。基于这些发现,我们开发了一种功能,用于引导机器人通过观察多个访客的行为来选择应答者。使用全向摄像机和激光测距传感器,可以跟踪和识别多个访客的头部运动。机器人通过在提问时观察他们的头部动作来检测访客的正面和负面反应。我们通过实验证实了我们方法的有效性。

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