From One to Another: How Robot-Robot Interaction Affects Users’ Perceptions Following a Transition Between Robots
Abstract
Human-robot interactions that involve multiple robots are becoming common. It is crucial to understand how multiple robots should transfer information and transition users between them. To investigate this, we designed a 3 × 3 mixed-design study in which participants took part in a navigation task. Participants interacted with a stationary robot who summoned a functional (not explicitly social) mobile robot to guide them. Each participant experienced the three types of robot-robot interaction: representative (the stationary robot spoke to the participant on behalf of the mobile robot), direct (the stationary robot delivered the request to the mobile robot in a straightforward manner), and social (the stationary robot delivered the request to the mobile robot in a social manner). Each participant witnessed only one type of robot-robot communication: silent (the robots covertly communicated), explicit (the robots acknowledged that they were communicating), or reciting (the stationary robot said the request aloud). Our results show that it is possible to instill socialness in and improve likability of a functional robot by having a social robot interact socially with it. We also found that covertly exchanging information is less desirable than reciting information aloud.
BibTeX
@conference{Tan-2019-118054,author = {Xiang Zhi Tan and Samantha Reig and Elizabeth Carter and Aaron Steinfeld},
title = {From One to Another: How Robot-Robot Interaction Affects Users' Perceptions Following a Transition Between Robots},
booktitle = {Proceedings of 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI '19)},
year = {2019},
month = {March},
pages = {114 - 122},
publisher = {IEEE},
keywords = {robots, human-robot interaction, user study, multi-robot, multi-robot-human interaction, transition, transfer},
}