Abstract
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.
Highlights
At current state, robotics technology has been immensely developed, the uncertainty to completely engage in human-robot interaction is still growing among people
To explore the influence factors of the outcomes and investigate the relationship between robot’s nonverbal behaviour and human’s likability based on human’s personality, we categorized the participants into 2 groups in regard to their personality: Introvert and Extravert, and investigated gaze and head nodding behaviours
The results demonstrate that the Introvert group has significant preference on Backchanneling strategy compared to Turn-taking strategy. The result on their preference in robot’s nonverbal behaviour indicates that the participants in Introvert group significantly prefer robot’s head nodding behaviour as it can enhance their likability toward the robot more than robot’s gaze behaviour
Summary
Robotics technology has been immensely developed, the uncertainty to completely engage in human-robot interaction is still growing among people. Many previous studies have been examined communication style (both verbal and nonverbal), and investigated similarities and differences between introverts and extraverts in order to enhance the effectiveness and attractiveness in communication[20,21] They found that personality preferences differ in expressed behaviours and traits, which can be implied as individual’s likability toward the interactional partner. Some studies demonstrated that people prefer the interaction with an assistive robot whose personality matches their own, which results in higher satisfaction and better task performance[27,28] These previous studies evinced that the robot’s behaviours that can express the characteristics of its personality and are compatible with human’s personality can facilitate higher likability toward the robot. We aim to investigate whether specific means (gaze or head nodding behaviour) and strategy (Backchanneling or Turn-taking) of robot’s nonverbal behaviour influences and enhances likability in human with specific personality (Introvert and Extravert). Many previous studies supported that mutual gaze convergence between 2 individuals can represent quality and satisfaction in the interaction[41] and positive feelings to each other[35] while head nodding synchrony between 2 individuals can indicate satisfaction increment[42,43] and positive attitude stimulation[44]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
