ABSTRACT
Interpersonal communication and relationship building promote successful collaborations. This study investigated the effect of conversational nonverbal and verbal interactions of a robot on bonding and relationship building with a human partner.
Participants interacted with two robots that differed in their nonverbal and verbal expressiveness. The interactive robot actively engaged the participant in a conversation before, during and after a collaborative task whereas the non-interactive robot remained passive. The robots' nonverbal and verbal interactions increased participants' perception of the robot as a social actor and strengthened bonding and relationship building between human and robot. The results of our study indicate that the evaluation of the collaboration improves when the robot maintains eye contact, the robot is attributed a certain personality, and the robot is perceived as being alive.
Our study could not show that an interactive robot receives more help by the collaboration partner. Future research should investigate additional factors that facilitate helpful behavior among humans, such as similarity, attributional judgement and empathy.
- Anki. 2020. Anki Cozmo. Retrieved June 2020 from https://anki.com/en-us/cozmo.htmlGoogle Scholar
- Frank Biocca and Chad Harms. 2002. Defining and measuring social presence: Contribution to the networked minds theory and measure. Proceedings of PRESENCE (2002), 1--36.Google Scholar
- Benjamin M.P. Cuff, Sarah .J. Brown, Laura Taylor, and Douglas J. Howat. 2016. Empathy: A review of the concept. Emotion Review 8, 2, 144--153. https://doi.org/10.1177/1754073914558466Google ScholarCross Ref
- Joseph Daly, Ute Leonards, and Paul Bremner. 2020. Robots in Need: How Patterns of Emotional Behavior Influence Willingness to Help. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (2020). 174--176. https://doi.org/10.1145/3371382.3378301Google ScholarDigital Library
- Jean Decety and Phillip L. Jackson. 2004. The Functional Architecture of Human Empathy. Behavioral and Cognitive Neuroscience Reviews 3, 2, 406--412. https://doi.org/10.1177/1534582304267187Google ScholarCross Ref
- Nancy Eisenberg and Paul A. Miller. 1987. The relation of empathy to prosocial and related behaviors. Psychological Bulletin 101, 1, 91--119. https://doi.org/10.1037/0033-2909.101.1.91Google ScholarCross Ref
- Lara Lammer, Andreas Huber, Astrid Weiss, and Markus Vincze. 2014. Mutual care: How older adults react when they should help their care robot. In AISB2014 (2014): Proceedings of the 3rd international symposium on new frontiers in human--robot interaction. Routledge London, UK, 1--4.Google Scholar
- Kwan M. Lee. 2004. Presence, explicated. Communication theory 14, 1, 27--50. https://doi.org/10.1111/j.1468--2885.2004.tb00302.xGoogle Scholar
- John Short, Ederyn Williams, and Bruce Christie. 1976. The social psychology of telecommunications. John Wiley Sons. https://doi.org/10.2307/2065899Google Scholar
- Vasant Srinivasan and Leila Takayama. 2016. Help me please: Robot politeness strategies for soliciting help from humans. In Proceedings of the 2016 CHI conference on human factors in computing systems (2016). 4945--4955. https://doi.org/10.1145/2858036.2858217Google ScholarDigital Library
- Rebecca Q. Stafford, Bruce A. MacDonald, Chandimal Jayawardena, Daniel M. Wegner, and E. Broadbent.. 2014. Does the robot have a mind? Mind perception and attitudes towards robots predict use of an eldercare robot. International journal of social robotics 6, 1, 17--32. https://doi.org/10.1007/s12369-013-0186-yGoogle Scholar
- Statistica. 2020. Worldwide Robotics Market Revenew. Retrieved June 2020 from https://www.statista.com/statistics/760190/worldwide-robotics-market-revenue/Google Scholar
- Dag S. Syrdal, Kerstin Dautenhahn, Kheng .L. Koay, and Michael L. Walters. 2009. The negative attitudes towards robots scale and reactions to robot behaviour in a live human robot interaction study. Adaptive and emergent behaviour and complex systems (2009).Google Scholar
- Sarah Trenholm. 2017. Thinking through communication: An introduction to the study of human communication. Routledge London, UK. https://doi.org/10.4324/9781315276403Google Scholar
- Jacqueline Urakami, Billie A. Moore, Sujitra Sutthithatip, and Sung Park. 2019. Users' Perception of Empathic Expressions by an Advanced Intelligent System. In Proceedings of the 7th International Conference on Human-Agent Interaction (pp. 11--18). https://doi.org/10.1145/10.1145/3349537.3351895Google ScholarCross Ref
- Urakami, Jacqueline, Sujitra Sutthithatip, and Billie Akwa Moore. 2020. The Effect of Naturalness of Voice and Empathic Responses on Enjoyment, Attitudes and Motivation for Interacting with a Voice User Interface. In Proceedings of the International Conference on Human-Computer Interaction, pp. 244--259. Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-49062-1_17Google ScholarDigital Library
- Andrea Vanzo, Francesco Riccio, Mahmoud Sharf, Valeria Mirabella, Tiziana Catarci, and Daniele Nardi. 2019. Who is Willing to Help Robots? A User Study on Collaboration Attitude. International Journal of Social Robotics, 1--10. https://doi.org/10.1007/s12369-019-00571-6Google Scholar
Index Terms
- Building a Collaborative Relationship between Human and Robot through Verbal and Non-Verbal Interaction
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