Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring

Autor(en): Czeszumski, Artur 
Gert, Anna L.
Keshava, Ashima 
Ghadirzadeh, Ali
Kalthoff, Tilman
Ehinger, V, Benedikt
Tiessen, Max
Bjorkman, Marten
Kragic, Danica
Koenig, Peter 
Stichwörter: action monitoring; Computer Science; Computer Science, Artificial Intelligence; DYNAMICS; EEG; embodied cognition; ERP; FEEDBACK; human-robot interaction; JOINT ACTION; MODULATION; Neurosciences; Neurosciences & Neurology; Robotics; social neuroscience
Erscheinungsdatum: 2021
Band: 15
Robots start to play a role in our social landscape, and they are progressively becoming responsive, both physically and socially. It begs the question of how humans react to and interact with robots in a coordinated manner and what the neural underpinnings of such behavior are. This exploratory study aims to understand the differences in human-human and human-robot interactions at a behavioral level and from a neurophysiological perspective. For this purpose, we adapted a collaborative dynamical paradigm from the literature. We asked 12 participants to hold two corners of a tablet while collaboratively guiding a ball around a circular track either with another participant or a robot. In irregular intervals, the ball was perturbed outward creating an artificial error in the behavior, which required corrective measures to return to the circular track again. Concurrently, we recorded electroencephalography (EEG). In the behavioral data, we found an increased velocity and positional error of the ball from the track in the human-human condition vs. human-robot condition. For the EEG data, we computed event-related potentials. We found a significant difference between human and robot partners driven by significant clusters at fronto-central electrodes. The amplitudes were stronger with a robot partner, suggesting a different neural processing. All in all, our exploratory study suggests that coordinating with robots affects action monitoring related processing. In the investigated paradigm, human participants treat errors during human-robot interaction differently from those made during interactions with other humans. These results can improve communication between humans and robot with the use of neural activity in real-time.
ISSN: 16625218
DOI: 10.3389/fnbot.2021.686010

Show full item record

Page view(s)

Last Week
Last month
checked on Jun 25, 2024

Google ScholarTM