Project description DEENESFRITPL Making robots our teammates The rise of digitalisation has been accompanied with a rise in human interaction with robots. The question now is: Is it possible for robots to become our communicative teammates? With the support of the Marie Skłodowska-Curie Actions, the NeuroMarkerHRI project will identify neural markers of the social brain activation in human-machine interaction to enable appropriate technologies for human-centred models based on social-cognitive mechanisms. NeuroMarkerHRI will measure hemodynamic signals in brain areas responsible for social cognition. It will use cognitive neuroscience, robotics and recent advances in machine learning to evaluate regulatory factors that activate the social brain exposed to humanoid robots for successful models for human-robot teaming for a smooth digital transition in Europe. Show the project objective Hide the project objective Objective With the imminent introduction of artificial agents into our digital future, robots will become teammates, companions and counterparts. However, it remains unclear whether people would interact with humanoid robots as social partners or use them as mere tools. NeuroMarkerHRI seeks to identify neural markers of the activation of social cognitive mechanisms with robots based on hemodynamic responses using supervised ML models. This will determine whether the human brain interprets the behavior from a humanoid robot using social (e.g. mirror neuron system, theory of mind) or general domain cognitive mechanisms (e.g. attention, cognitive control). With a hypothesis-driven and stepwise approach, the project will measure hemodynamic responses with functional near-infrared spectroscopy (fNIRS) in brain regions associated with social cognition, theory of mind and perception of mental states during collaborative interactions with humanoid robots. Hemodynamic signal features will be included in the machine learning models to identify predictors of social or general domain cognitive mechanisms. The project's interdisciplinary nature integrates well-documented methods of cognitive neuroscience, advancements in robotics, and state-of-the-art machine learning techniques to thoroughly evaluate the factors that modulate the activation of the social brain exposed to humanoid robots. Outcomes will set standards for future research in human-robot interaction, offer a reliable tool for designers to measure the effect of robot behavior on the users, and boost the development and improvement of efficient human-robot collaboration. The current project contributes to creating a human-centered development of technology and would help towards the digital transition in Europe, allowing to unlock the potential of social, industrial, and commercial human-robot collaboration. Fields of science natural sciencesbiological sciencesneurobiologycognitive neuroscienceengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencesphysical sciencesopticsspectroscopy Programme(s) HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme Topic(s) HORIZON-MSCA-2021-PF-01-01 - MSCA Postdoctoral Fellowships 2021 Call for proposal HORIZON-MSCA-2021-PF-01 See other projects for this call Funding Scheme HORIZON-AG-UN - HORIZON Unit Grant Coordinator TECHNISCHE UNIVERSITAT BERLIN Net EU contribution € 173 847,36 Address STRASSE DES 17 JUNI 135 10623 Berlin Germany See on map Region Berlin Berlin Berlin Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost No data
