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Evaluation of the Handshake Turing Test for anthropomorphic Robots

Ruth Stock-Homburg; Jan Peters; Katharina Schneider; Vignesh Prasad; Lejla Nukovic
In: Tony Belpaeme; James E. Young; Hatice Gunes; Laurel D. Riek (Hrsg.). Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, Cambridge, UK, March 23-26, 2020. ACM/IEEE International Conference on Human-Robot Interaction (HRI), Pages 456-458, ACM, 2020.


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.

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