How humor could affect trust in human-robot interaction
Guo, Xinyi
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https://hdl.handle.net/2142/107244
Description
Title
How humor could affect trust in human-robot interaction
Author(s)
Guo, Xinyi
Contributor(s)
Driggs-Campbell, Katie
Issue Date
2020-05
Keyword(s)
Trust
Human Robot Interaction
Human Computer Interaction
Abstract
This thesis examines scenarios in which a person interacts with collaborative robots for certain
tasks, for example when visitors are guided by a navigation robot or when doctors are assisted by
surgical robotics arms. In particular, we consider robots that can initiate small talk with appropriate
jokes, which is a natural human behavior when icebreaking or trying to form a bond. We ask the
question: Would the user put more trust in such a robot and feel more comfortable, or less, when
interacting with the robot? To answer the question, we designed an online controlled experiment
that mimics a direction-guiding robot, which could give instructions to the user to reach a final
goal, and we performed the controlled experiment with 22 valid participants. The results show
different levels of trust among participants. Namely, 63.6% believed that robot with humor has more
knowledge in the task and is more comfortable to interact with, while 77.4% prefer that robot as
an actual guide in a museum setting. In addition, depending on the seriousness of the application,
people have different expectations of the robot that they are working with. A friendlier and funnier
robot is preferred in an exploratory setting, while a more direct and concise robot is preferred in
a straightforward task completion setting. However, given the same setting, more people prefer a
humorous robot and have more trust in it.
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