Human-robot interaction exerts influence towards the human, which often changes behavior. This article explores an externality of this changed behavior - preference change. It expands on previous work on preference change in AI systems. Specifically, this article will explore how a robot's adaptive behavior, personalized to the user, can exert influence through social interactions, that in turn change a user's preference. It argues that the risk of this is high given a robot's unique ability to influence behavior compared to other pervasive technologies. Persuasive Robotics thus runs the risk of being manipulative.
@article{arxiv.2206.10300,
title = {Preference Change in Persuasive Robotics},
author = {Matija Franklin and Hal Ashton},
journal= {arXiv preprint arXiv:2206.10300},
year = {2022}
}
Comments
in TRAITS Workshop Proceedings (arXiv:2206.08270) held in conjunction with Companion of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, March 2022, Pages Pages 1284-1286