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Evaluation of the Handshake Turing Test for anthropomorphic Robots

Authors :
Jan Peters
Ruth Stock-Homburg
Katharina Schneider
Vignesh Prasad
Lejla Nukovic
Source :
HRI (Companion), HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Publication Year :
2020
Publisher :
arXiv, 2020.

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.<br />Comment: Accepted as a Late Breaking Report in The 15th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI) 2020

Details

Database :
OpenAIRE
Journal :
HRI (Companion), HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Accession number :
edsair.doi.dedup.....9d467bfb934b91b1c6a26a02e7fa592c
Full Text :
https://doi.org/10.48550/arxiv.2001.10464