Employing User-Generated Content to Enhance Human-Robot Interaction in a Human-Robot Trust Game
Yuhua Jake Liang, Seungcheol Austin Lee · Human-Robot Interaction · 2016
This research explores how user-generated content can strategically affect the relationship between human-robot trust and interactional outcomes. Results showed that user-generated content did not directly affect human-robot trust or interactional outcomes. Interestingly, the data were consistent with a moderation model, such that exposure to user-generated content altered the correlation between human-robot trust and interactional outcome from an unfavorable to a favorable way. These results prompt the need for a new research program that could be developed to focus on deploying strategic messages via user-generated content to create better HRI.