Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario
2019 IEEE International Conference on Robotics and Automation (ICRA),
doi: 10.1109/ICRA.2019.8793770
- May 2019
Associated documents :
In this paper, we present an autonomous AI system designed for a Human-Robot Interaction (HRI) study, set
around a dice game scenario. We conduct a case study to answer
our research question: Does a robot with a socially engaged
personality lead to a higher acceptance than a competitive
personality? The flexibility of our proposed system allows us
to construct and attribute two different personalities to a humanoid robot: a socially engaged personality that maximizes its
user interaction and a competitive personality that is focused on
playing and winning the game. We evaluate both personalities in
a user study, in which the participants play a turn-taking dice
game with the robot. Each personality is assessed with four
different evaluation tools: 1) the Godspeed Questionnaire, 2)
the Mind Perception Questionnaire, 3) a custom questionnaire
concerning the overall HRI experience, and 4) a Convolutional
Neural Network analyzing the emotions on the participants
facial feedback throughout the game. Our results show that the
socially engaged personality evokes stronger emotions among
the participants and is rated higher in likability and animacy
than the competitive one. We conclude that designing the robot
with a socially engaged personality contributes to a higher
acceptance within an HRI scenario.
@InProceedings{BXABCNNSAGHSWW19,
author = {Beik-Mohammadi, Hadi and Xirakia, Nikoletta and Abawi, Fares and Barykina, Irina and Chandran, Krishnan and Nair, Gitanjali and Nguyen, Cuong and Speck, Daniel and Alpay, Tayfun and Griffiths, Sascha and Heinrich, Stefan and Strahl, Erik and Weber, Cornelius and Wermter, Stefan},
title = {Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario},
booktitle = {2019 IEEE International Conference on Robotics and Automation (ICRA)},
editors = {},
number = {},
volume = {},
pages = {},
year = {2019},
month = {May},
publisher = {},
doi = {10.1109/ICRA.2019.8793770},
}