Presentation
Investigating the Effect of Automation Level and Automation Reliability in Hybrid Automation Systems
DescriptionWith the increase in autonomy and artificially intelligent (AI)-enabled autonomous system, human factors researchers must investigate how to best design the interplay between humans and automation in a hybrid format. Hybrid autonomous systems provide benefits to several industries, especially in aerospace as the industry becomes more complex. Autonomous agents are susceptible to failure as they may be faced with situations that they were not built for Thus, automation reliability may vary over time, depending on the operator and contextual environment, underscoring the need to understand human behavior in hybrid autonomous systems when the autonomy may fail. Therefore, the objectives of the study are to understand the variability in performance, mental workload and situation awareness under varying automation levels and automation reliability; and investigate the transition behavior of human-preferred automation levels during human-automation interaction because of the exposure to the existing adaptive system.
Event Type
Lecture
TimeWednesday, October 15th1:50pm - 2:10pm CDT
LocationGrand B
Human AI Robot Teaming (AI)