用机器人调节发言时间，缓解上级主导讨论的不平等现象
Robot can reduce superior's dominance in group discussions with human social hierarchy
- 机器人根据成员层级关系，自动鼓励发言少者说话
- 实验显示机器人干预可影响发言时长，但差异未达显著水平
- 适合在医疗等层级分明的团队讨论中应用
本研究探讨了具备社会层级感知能力的机器人是否能减少上级在层级化讨论中的主导性，实现参与者发言均等。30名具有上下级关系的医生与学生参与实验，对比了三种干预策略：基于层级的机器人干预、无差别的均匀干预，以及无干预对照组。机器人通过回应对话（backchanneling）和主动鼓励（prompting）行为，针对发言时间较少的成员进行干预。结果表明，机器人干预可能影响成员发言时长，但各条件间差异未达统计显著；然而，该策略未降低上级满意度，提示在经验丰富的上级易主导的讨论场景中，通过调控机器人的反馈行为，或可抑制其主导地位，促进参与均等。
原文摘要 · Abstract (English)
This study investigated whether robotic agents that deal with social hierarchical relationships can reduce the dominance of superiors and equalize participation among participants in discussions with hierarchical structures. Thirty doctors and students having hierarchical relationship were gathered as participants, and an intervention experiment was conducted using a robot that can encourage participants to speak depending on social hierarchy. These were compared with strategies that intervened equally for all participants without considering hierarchy and with a no-action. The robots performed follow actions, showing backchanneling to speech, and encourage actions, prompting speech from members with less speaking time, on the basis of the hierarchical relationships among group members to equalize participation. The experimental results revealed that the robot's actions could potentially influence the speaking time among members, but it could not be conclusively stated that there were significant differences between the robot's action conditions. However, the results suggested that it might be possible to influence speaking time without decreasing the satisfaction of superiors. This indicates that in discussion scenarios where experienced superiors are likely to dominate, controlling the robot's backchanneling behavior could potentially suppress dominance and equalize participation among group members.
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