Trust me; I'm a Robot

Humanoid robotics is an emerging and challenging research field that has received significant attention during the past years and will continue to play a central role in Human-Robot Interaction (HRI) research. In general, robots can be broadly grouped under three main categories: (1) Humanoid: There are general similarities between the robot design and the human anatomy, (2) Andromorphic (or anthropomorphic): The robot design imitates some parts of the human anatomy, and (3) Non-humanoid: The robot design resembles any other living organism [1, p. 12]. Likewise, a social robot has been defined as "an autonomous or semi-autonomous robot that interacts and communicates with humans by following the behavioural norms expected by the people with whom the robot is intended to interact" [2, p. 592]. In other words, a humanoid social robot is specifically designed to mimic human features and movements to create familiarity and ease of interaction with humans. If humanoid social robots are to be an integral part of our society, it is necessary to understand humans' attitudes towards them. Trust plays an essential role in all human interactions and should be studied as it pertains to HRI. Understanding how trust may change due to a robot's characteristics or the situations where interaction occurs is vital to designing useful humanoid robots and shaping positive interaction procedures. The following studies explore such issues of human trust in HRI literature. Enjoy! 

• Effects of Anthropomorphism and Accountability on Trust in Human-Robot Interaction [3]:  https://www.youtube.com/watch?v=JW5RRBWJhF0 
• Why Should We Gender?: The Effect of Robot Gendering and Occupational Stereotypes on Human Trust and Perceived Competency [4]: https://www.youtube.com/watch?v=sak55q6oMGg 
• Are We Trusting AI Too Much?: Examining Human-Robot Interactions in the Real World [5]: https://www.youtube.com/watch?v=SLkWSGJ93ug
• Taxonomy of Trust-Relevant Failures and Mitigation Strategies [6]: https://www.youtube.com/watch?v=9mg0lOy2XAI

References:

[1] Stanislava Naneva, Marina Sarda Gou, Thomas L. Webb, and Tony J. Prescott. 2020. A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots. International Journal of Social Robotics (June 2020). https://doi.org/10.1007/s12369-020-00659-4

[2] Christoph Bartneck and Jodi Forlizzi. 2004. A design-centred framework for social human-robot interaction. In RO-MAN 2004. 13th IEEE international workshop on robot and human interactive communication (IEEE Catalog No. 04TH8759). IEEE, 591–594.

[3] Manisha Natarajan and Matthew Gombolay. 2020. Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20). Association for Computing Machinery, New York, NY, USA, 33–42. DOI: https://doi-org.proxy.library.carleton.ca/10.1145/3319502.3374839

[4] De'Aira Bryant, Jason Borenstein, and Ayanna Howard. 2020. Why Should We Gender? The Effect of Robot Gendering and Occupational Stereotypes on Human Trust and Perceived Competency. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20). Association for Computing Machinery, New York, NY, USA, 13–21. DOI: https://doi-org.proxy.library.carleton.ca/10.1145/3319502.3374778

[5] Ayanna Howard. 2020. Are We Trusting AI Too Much? Examining Human-Robot Interactions in the Real World. In "Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20)". Association for Computing Machinery, New York, NY, USA, 1. DOI: https://doi-org.proxy.library.carleton.ca/10.1145/3319502.3374842

[6] Suzanne Tolmeijer, Astrid Weiss, Marc Hanheide, Felix Lindner, Thomas M. Powers, Clare Dixon, and Myrthe L. Tielman. 2020. Taxonomy of Trust-Relevant Failures and Mitigation Strategies. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20). Association for Computing Machinery, New York, NY, USA, 3–12. DOI: https://doi-org.proxy.library.carleton.ca/10.1145/3319502.3374793