TY - GEN
T1 - Modelling and evaluating failures in human-robot teaming using simulation
AU - Ma, Lanssie M.
AU - Ijtsma, Martijn
AU - Feigh, Karen M.
AU - Paladugu, Abhinay
AU - Pritchett, Amy R.
N1 - Funding Information:
The authors thank NASA Ames for funding this research project through grant #NNX17AB08G under Jessica Marquez, as well as other contributors to WMC for their ongoing work.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/25
Y1 - 2018/6/25
N2 - As robotic capabilities improve and robots become more capable as team members, a better understanding of effective human-robot teaming is needed. In this paper, we investigate failures by robots in various team configurations in space EVA operations. This paper describes the methodology of extending and the application of Work Models that Compute (WMC), a computational simulation framework, to model robot failures, interruptions, and the resolutions they require. Using these models, we investigate how different team configurations respond to a robot's failure to correctly complete the task and overall mission. We also identify key factors that impact the teamwork metrics for team designers to keep in mind while assembling teams and assigning taskwork to the agents. We highlight different metrics that these failures impact on team performance through varying components of teaming and interaction that occur. Finally, we discuss the future implications of this work and the future work to be done to investigate function allocation in human-robot teams.
AB - As robotic capabilities improve and robots become more capable as team members, a better understanding of effective human-robot teaming is needed. In this paper, we investigate failures by robots in various team configurations in space EVA operations. This paper describes the methodology of extending and the application of Work Models that Compute (WMC), a computational simulation framework, to model robot failures, interruptions, and the resolutions they require. Using these models, we investigate how different team configurations respond to a robot's failure to correctly complete the task and overall mission. We also identify key factors that impact the teamwork metrics for team designers to keep in mind while assembling teams and assigning taskwork to the agents. We highlight different metrics that these failures impact on team performance through varying components of teaming and interaction that occur. Finally, we discuss the future implications of this work and the future work to be done to investigate function allocation in human-robot teams.
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U2 - 10.1109/AERO.2018.8396581
DO - 10.1109/AERO.2018.8396581
M3 - Conference contribution
AN - SCOPUS:85049838781
T3 - IEEE Aerospace Conference Proceedings
SP - 1
EP - 16
BT - 2018 IEEE Aerospace Conference, AERO 2018
PB - IEEE Computer Society
T2 - 2018 IEEE Aerospace Conference, AERO 2018
Y2 - 3 March 2018 through 10 March 2018
ER -