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The Evolution of Human-Autonomy Teams in Remotely Piloted Aircraft Systems Operations
- Source :
- Frontiers in Communication, Vol 4 (2019)
- Publication Year :
- 2019
- Publisher :
- Frontiers Media S.A., 2019.
-
Abstract
- The focus of this current research is two-fold: (1) to understand how team interaction in human-autonomy teams (HAT)s evolve in the Remotely Piloted Aircraft Systems (RPAS) task context, and (2) to understand how HATs respond to three types of failures (automation, autonomy, and cyber-attack) over time. We summarize the findings from three of our recent experiments regarding the team interaction within HAT over time in the dynamic context of RPAS. For the first and the second experiments, we summarize general findings related to team member interaction of a three-member team over time, by comparison of HATs with all-human teams. In the third experiment, which extends beyond the first two experiments, we investigate HAT evolution when HATs are faced with three types of failures during the task. For all three of these experiments, measures focus on team interactions and temporal dynamics consistent with the theory of interactive team cognition. We applied Joint Recurrence Quantification Analysis, to communication flow in the three experiments. One of the most interesting and significant findings from our experiments regarding team evolution is the idea of entrainment, that one team member (the pilot in our study, either agent or human) can change the communication behaviors of the other teammates over time, including coordination, and affect team performance. In the first and second studies, behavioral passiveness of the synthetic teams resulted in very stable and rigid coordination in comparison to the all-human teams that were less stable. Experimenter teams demonstrated metastable coordination (not rigid nor unstable) and performed better than rigid and unstable teams during the dynamic task. In the third experiment, metastable behavior helped teams overcome all three types of failures. These summarized findings address three potential future needs for ensuring effective HAT: (1) training of autonomous agents on the principles of teamwork, specifically understanding tasks and roles of teammates, (2) human-centered machine learning design of the synthetic agent so the agents can better understand human behavior and ultimately human needs, and (3) training of human members to communicate and coordinate with agents due to current limitations of Natural Language Processing of the agents.
- Subjects :
- Computer science
Remotely piloted aircraft
media_common.quotation_subject
Autonomous agent
synthetic agent
050105 experimental psychology
lcsh:Communication. Mass media
03 medical and health sciences
0302 clinical medicine
Human–computer interaction
0501 psychology and cognitive sciences
media_common
team cognition
Teamwork
human-autonomy teaming
business.industry
Team cognition
05 social sciences
Automation
unmanned air vehicle
lcsh:P87-96
Fundamental human needs
remotely piloted aircraft systems
team dynamics
business
030217 neurology & neurosurgery
Autonomy
Subjects
Details
- Language :
- English
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Frontiers in Communication
- Accession number :
- edsair.doi.dedup.....258e859bb9c46af92276718e0038353e