Immersive Multimodal Interactive Presence
Immersive Multimodal Interactive Presence
复制标题
沉浸式多模态交互呈现
DOI：
10.1007/978-1-4471-2754-3_6
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Endo S
中科院分区：
文献类型：
--
作者：
Endo S
本章关注的是内隐的非语言线索如何支持两个合作伙伴之间的协调行动。最近，神经科学家开始揭示人们如何通过行为观察来预测他人的行为目标和意图的大脑机制。然而，迄今为止，只有少数研究已经解决了如何参与的任务合作伙伴的影响规划和控制自己的有目的的行动。在这里，我们回顾了三项研究人类和机器人合作伙伴之间的合作行动，解决预测和反应电机控制的性质，在合作行动。最后，我们得出一个模型，实现运动协调的任务合作伙伴，每个调整自己的行动的基础上，以前的审判结果。
This chapter is concerned with how implicit, nonverbal cues support coordinated action between two partners. Recently, neuroscientists have started uncovering the brain mechanisms involved in how people make predictions about other people’s behavioural goals and intentions through action observation. To date, however, only a small number of studies have addressed how the involvement of a task partner influences the planning and control of one’s own purposeful action. Here, we review three studies of cooperative action between human and robot partners that address the nature of predictive and reactive motor control in cooperative action. We conclude with a model which achieves motor coordination by task partners each adjusting their actions on the basis of previous trial outcome.