TY - GEN
T1 - Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context
AU - Jayashankar, Jayesh
AU - Packy, Anna L.
AU - Teymourlouei, Arya
AU - Shaver, Alexandra A.
AU - Katz, Garrett E.
AU - Reggia, James A.
AU - Purtilo, James
AU - Gentili, Rodolphe J.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - With the development of advanced AI and robotic systems, there is a growing interest in examining human-robot teaming. While the vast majority of human-robot studies has focused on technological developments, only a limited body of work has considered employing neurophysiological data and real-world activities to examine human cognitive-motor processes in such a teaming context. Although human-robot teaming can be examined using physical systems, virtual environments also offer numerous advantages such as versatility, scalability, and cost-effectiveness. Therefore, here we propose and assess a novel virtual environment (VTEAM) through which human cognitive-motor processes can be examined when individuals perform alone or with a robotic teammate, sequential tasks that have similar features to real-world activities. This new experimental platform allows synchronous behavioral and neurophysiological (EEG) data collection to provide a more comprehensive examination of human cognitive-motor behavior. VTEAM was evaluated by assessing its usability, as well as the resulting team performance and human perception of the workload and of the robotic teammate. The findings revealed appropriate levels of usability and workload when individuals operated VTEAM to complete two tasks alone or with the robotic teammate. When engaged, the robotic teammate - which individuals perceived as likeable, intelligent and safe - was able to improve task performance, suggesting that this platform can robustly assess human-robot teaming. Thus, this novel experimental platform appears to be appropriate for investigating human cognitive-motor processes when individuals perform and learn action sequences alone or collaboratively with a robotic teammate.
AB - With the development of advanced AI and robotic systems, there is a growing interest in examining human-robot teaming. While the vast majority of human-robot studies has focused on technological developments, only a limited body of work has considered employing neurophysiological data and real-world activities to examine human cognitive-motor processes in such a teaming context. Although human-robot teaming can be examined using physical systems, virtual environments also offer numerous advantages such as versatility, scalability, and cost-effectiveness. Therefore, here we propose and assess a novel virtual environment (VTEAM) through which human cognitive-motor processes can be examined when individuals perform alone or with a robotic teammate, sequential tasks that have similar features to real-world activities. This new experimental platform allows synchronous behavioral and neurophysiological (EEG) data collection to provide a more comprehensive examination of human cognitive-motor behavior. VTEAM was evaluated by assessing its usability, as well as the resulting team performance and human perception of the workload and of the robotic teammate. The findings revealed appropriate levels of usability and workload when individuals operated VTEAM to complete two tasks alone or with the robotic teammate. When engaged, the robotic teammate - which individuals perceived as likeable, intelligent and safe - was able to improve task performance, suggesting that this platform can robustly assess human-robot teaming. Thus, this novel experimental platform appears to be appropriate for investigating human cognitive-motor processes when individuals perform and learn action sequences alone or collaboratively with a robotic teammate.
KW - AI-based humanoid robots
KW - Action sequences
KW - Cognitive-motor performance
KW - Human-robot team
KW - Mental workload
KW - Virtual environment
UR - http://www.scopus.com/inward/record.url?scp=85196786876&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85196786876&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-61569-6_10
DO - 10.1007/978-3-031-61569-6_10
M3 - Conference contribution
AN - SCOPUS:85196786876
SN - 9783031615689
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 147
EP - 166
BT - Augmented Cognition - 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Schmorrow, Dylan D.
A2 - Fidopiastis, Cali M.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Conference on Augmented Cognition, AC 2024, held as part of the 26th HCI International Conference, HCII 2024
Y2 - 29 June 2024 through 4 July 2024
ER -