Visible to the public How Social Robots Influence People’s Trust in Critical Situations

TitleHow Social Robots Influence People’s Trust in Critical Situations
Publication TypeConference Paper
Year of Publication2020
AuthorsRossi, A., Dautenhahn, K., Koay, K. Lee, Walters, M. L.
Conference Name2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Date PublishedAug.4
PublisherIEEE
ISBN Number978-1-7281-6075-7
Keywordsautonomous robots, control engineering computing, Human Behavior, human factors, human-robot interaction, pubcrawl, resilience, Resiliency, Robot Trust, social behaviours, social conventions, social cues, social robots, Trust, trust criticality
Abstract

As we expect that the presence of autonomous robots in our everyday life will increase, we must consider that people will have not only to accept robots to be a fundamental part of their lives, but they will also have to trust them to reliably and securely engage them in collaborative tasks. Several studies showed that robots are more comfortable interacting with robots that respect social conventions. However, it is still not clear if a robot that expresses social conventions will gain more favourably people's trust. In this study, we aimed to assess whether the use of social behaviours and natural communications can affect humans' sense of trust and companionship towards the robots. We conducted a between-subjects study where participants' trust was tested in three scenarios with increasing trust criticality (low, medium, high) in which they interacted either with a social or a non-social robot. Our findings showed that participants trusted equally a social and non-social robot in the low and medium consequences scenario. On the contrary, we observed that participants' choices of trusting the robot in a higher sensitive task was affected more by a robot that expressed social cues with a consequent decrease of their trust in the robot.

URLhttps://ieeexplore.ieee.org/document/9223471
DOI10.1109/RO-MAN47096.2020.9223471
Citation Keyrossi_how_2020