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The Relationship between Robot’s Nonverbal Behaviour and Human’s Likability Based on Human’s Personality

机译:基于人类个性的机器人非言语行为与人类易感性的关系

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摘要

At current state, although robotics technology has been immensely developed, the uncertainty to completely engage in human-robot interaction is still growing among people. Many current studies then started to concern about human factors that might influence human’s likability like human’s personality, and found that compatibility between human’s and robot’s personality (expressions of personality characteristics) can enhance human’s likability. However, it is still unclear whether specific means and strategy of robot’s nonverbal behaviours enhances likability from human with different personality traits and whether there is a relationship between robot’s nonverbal behaviours and human’s likability based on human’s personality. In this study, we investigated and focused on the interaction via gaze and head nodding behaviours (mutual gaze convergence and head nodding synchrony) between introvert/extravert participants and robot in two communication strategies (Backchanneling and Turn-taking). Our findings reveal that the introvert participants are positively affected by backchanneling in robot’s head nodding behaviour, which results in substantial head nodding synchrony whereas the extravert participants are positively influenced by turn-taking in gaze behaviour, which leads to significant mutual gaze convergence. This study demonstrates that there is a relationship between robot’s nonverbal behaviour and human’s likability based on human’s personality.
机译:在目前的状态下,尽管机器人技术已经得到了巨大的发展,但人们之间完全参与人机交互的不确定性仍在增加。然后,许多当前的研究开始关注可能影响人的喜好的人为因素,例如人的性格,并发现人与机器人的人格之间的相容性(人格特征的表达)可以增强人的喜好。但是,尚不清楚机器人非语言行为的特定手段和策略是否会增强具有不同人格特征的人的喜好,并且机器人非语言行为与基于人的个性的人的喜好之间是否存在关系。在这项研究中,我们研究并集中了内向/外向参与者与机器人之间通过凝视和头部点头行为(相互注视收敛和头部点头同步)在两种通信策略(回传和转向)中的交互作用。我们的发现表明,内向型参与者会受到机器人头部点头行为的反向传播的积极影响,这会导致实质性的头部点头同步,而外向型参与者会受到转弯的凝视行为的积极影响,从而导致显着的相互凝视。这项研究表明,机器人的非语言行为与基于人的个性的人的喜好之间存在联系。

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