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Fronto-parietal coding of goal-directed actions performed by artificial agents
Aleksandra Kupferberg1, Marco Iacoboni2, Virginia Flanagin3,4
1Division of Molecular Psychiatry, Translational Research Center, University Hospital of Psychiatry University of Bern, Bern, Switzerland.
Human Brain Mapping
|December 6, 2017
Summary
Observing artificial agents
Area of Science:
- Cognitive Neuroscience
- Human-Robot Interaction
- Robotics
Background:
- Humanoid robots are increasingly integrated into daily life, necessitating intuitive human-robot collaboration.
- Understanding the goals behind artificial agents' motor actions is crucial for safe and seamless interaction.
- The fronto-parietal brain network is involved in inferring human action goals, but its role in observing artificial agents remains less understood.
Purpose of the Study:
- To investigate whether the human fronto-parietal network is activated when observing goal-directed actions performed by artificial agents.
- To determine if this activation differs based on the type of action (grasping vs. pointing) and the object's goal category (tool vs. food).
Main Methods:
- An experiment was conducted where human participants observed both human and artificial agents performing grasping and pointing actions towards tool and food items.
- Brain activity was monitored using functional neuroimaging techniques.
- Participants' perceptions of the agents' actions were assessed through post-experiment debriefing.
Main Results:
- A significant increase in brain activity was observed in the bilateral inferior parietal lobule and premotor cortex when both human and artificial agents interacted with tool items compared to food items.
- This activation occurred regardless of whether the action was grasping or pointing.
- The findings suggest that the fronto-parietal network is engaged in attributing goals to actions, irrespective of whether the agent is human or artificial.
Conclusions:
- Goal attribution engages the fronto-parietal network when observing both human and artificial agents, for both self-related and social actions.
- The study provides evidence that humans can perceive artificial agents' actions as goal-directed, paving the way for intuitive human-robot interaction in diverse fields.
- This research supports the naturalness and ease of interaction with future service robots in areas like healthcare, education, and entertainment.
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