Evaluation of the Handshake Turing Test for anthropomorphic Robots
Abstract
Handshakes are fundamental and common greeting and parting gestures among humans. They are important in shaping first impressions as people tend to associate character traits with a person's handshake. To widen the social acceptability of robots and make a lasting first impression, a good handshaking ability is an important skill for social robots. Therefore, to test the human-likeness of a robot handshake, we propose an initial Turing-like test, primarily for the hardware interface to future AI agents. We evaluate the test on an android robot's hand to determine if it can pass for a human hand. This is an important aspect of Turing tests for motor intelligence where humans have to interact with a physical device rather than a virtual one. We also propose some modifications to the definition of a Turing test for such scenarios taking into account that a human needs to interact with a physical medium.
Keywords
Cite
@article{arxiv.2001.10464,
title = {Evaluation of the Handshake Turing Test for anthropomorphic Robots},
author = {Ruth Stock-Homburg and Jan Peters and Katharina Schneider and Vignesh Prasad and Lejla Nukovic},
journal= {arXiv preprint arXiv:2001.10464},
year = {2021}
}
Comments
Accepted as a Late Breaking Report in The 15th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI) 2020