Human-centered (intelligent and interactive) robotic systems change the initial conditions of a context through physical actions based on the general goals and the action modalities established by their designers and by the commands, behaviours, and reactions of their users according to the current situation. In particular, robot control can be fully managed by a human, shared with a human, autonomously taken in the interest of a human. Specifically, designing and developing robotic systems that are truly centered on humans (on their abilities and limitations, according to their objectives in a certain context) requires to understand the multifaceted processes underlying human behaviours and reactions for enabling the machine to perform the most appropriate actions for its user in everyday situations. Accordingly, neuroergonomics (investigating how the human nervous system works in real-world activities) is an elective field offering this kind of human-centric multidisciplinary knowledge on human-robot interaction design.
Neuroergonomics provides HRI researchers with an ecological neuroscientific perspective, exploiting novel non-invasive portable techniques for neurophysiological, psychophysiological, and motor data collection to understand how human performance and human nervous system work in real-world contexts. These methods, as solutions to assess cognitive and affective processes of human beings, can become quite advantageous to evaluate the robot user experience, the robot-user interface usability, the robotic technology acceptance, and the robot user mental workload. This approach also leads to the design of neuroergonomic robotic systems. Furthermore, neuroergonomic robotic systems can be enriched by the specific features of neuroadaptive automation. In this case we can imagine a neuroergonomic robot capable of recognizing from physiological and motor data the user conditions for adjusting its own activity to them to improve the human performance, safety, and well-being. These approaches are already adopted in many HRI examples. However, just collecting and organizing the most recent examples is compulsory to disclose the potential impact of neuroergonomics in HRI for stimulating novel ideas in multidisciplinary communities of researchers and designers.
This Research Topic will collect and organize the most recent concepts and investigations on Neuroergonomics in HRI, considering both laboratory and real-world studies for improving, in particular, the methodological know-how of the readers. This Research Topic will address the following topics:
• Neuroergonomics Methods in Design and Evaluation of HRI
• Neuroergonomics in Social and Affective Robotics
• Neuroergonomics in Wearable Robotics
• Neuroergonomics in Telerobotics
• Neuroergonomics in Industrial Robotics
• Neuroergonomics in Biomedical Robotics
• Neuroadaptive Systems and Adaptive Automation
• Neuroergonomics, Neurorobotics, and Translational Neuroscience
The Research Topic will collect and publish all types of manuscripts, embracing a list of research areas not limited to the ones listed above.
Human-centered (intelligent and interactive) robotic systems change the initial conditions of a context through physical actions based on the general goals and the action modalities established by their designers and by the commands, behaviours, and reactions of their users according to the current situation. In particular, robot control can be fully managed by a human, shared with a human, autonomously taken in the interest of a human. Specifically, designing and developing robotic systems that are truly centered on humans (on their abilities and limitations, according to their objectives in a certain context) requires to understand the multifaceted processes underlying human behaviours and reactions for enabling the machine to perform the most appropriate actions for its user in everyday situations. Accordingly, neuroergonomics (investigating how the human nervous system works in real-world activities) is an elective field offering this kind of human-centric multidisciplinary knowledge on human-robot interaction design.
Neuroergonomics provides HRI researchers with an ecological neuroscientific perspective, exploiting novel non-invasive portable techniques for neurophysiological, psychophysiological, and motor data collection to understand how human performance and human nervous system work in real-world contexts. These methods, as solutions to assess cognitive and affective processes of human beings, can become quite advantageous to evaluate the robot user experience, the robot-user interface usability, the robotic technology acceptance, and the robot user mental workload. This approach also leads to the design of neuroergonomic robotic systems. Furthermore, neuroergonomic robotic systems can be enriched by the specific features of neuroadaptive automation. In this case we can imagine a neuroergonomic robot capable of recognizing from physiological and motor data the user conditions for adjusting its own activity to them to improve the human performance, safety, and well-being. These approaches are already adopted in many HRI examples. However, just collecting and organizing the most recent examples is compulsory to disclose the potential impact of neuroergonomics in HRI for stimulating novel ideas in multidisciplinary communities of researchers and designers.
This Research Topic will collect and organize the most recent concepts and investigations on Neuroergonomics in HRI, considering both laboratory and real-world studies for improving, in particular, the methodological know-how of the readers. This Research Topic will address the following topics:
• Neuroergonomics Methods in Design and Evaluation of HRI
• Neuroergonomics in Social and Affective Robotics
• Neuroergonomics in Wearable Robotics
• Neuroergonomics in Telerobotics
• Neuroergonomics in Industrial Robotics
• Neuroergonomics in Biomedical Robotics
• Neuroadaptive Systems and Adaptive Automation
• Neuroergonomics, Neurorobotics, and Translational Neuroscience
The Research Topic will collect and publish all types of manuscripts, embracing a list of research areas not limited to the ones listed above.
