Abstract
Sensorimotor signaling is a key mechanism underlying coordination in humans. The increasing presence of artificial agents, including robots, in everyday contexts, will make joint action with them as common as a joint action with other humans. The present study investigates under which conditions sensorimotor signaling emerges when interacting with them. Human participants were asked to play a musical duet either with a humanoid robot or with an algorithm run on a computer. The artificial agent was programmed to commit errors. Those were either human-like (simulating a memory error) or machine-like (a repetitive loop of back-and-forth taps). At the end of the task, we tested the social inclusion toward the artificial partner by using a ball-tossing game. Our results showed that when interacting with the robot, participants showed lower variability in their performance when the error was human-like, relative to a mechanical failure. When the partner was an algorithm, the pattern was reversed. Social inclusion was affected by human-likeness only when the partner was a robot. Taken together, our findings showed that coordination with artificial agents, as well as social inclusion, are influenced by how human-like the agent appears, both in terms of morphological traits and in terms of behaviour.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.