Scientific Reports · 2018 · 25 citations · 57 references
Social SciencesPsychologySocial PsychologyHuman-robot InteractionInterpersonal CommunicationNonverbal CommunicationAffective Human-robot InteractionEye ContactFacial ExpressionHead-eye CoordinationHuman-robot CommunicationHuman-robot Interaction EvaluationGaze CommunicationHead NoddingHuman-robot Interaction InterfacesHuman-robot Interaction PlatformsLikability JudgmentsMutual Gaze PerceptionNonverbal Robot CommunicationRobot Personality
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.
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