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Today’s military and industry increasingly uses human-robot sys tem to perform complex tasks, such as firefighting. Automated systems that support or eve n make important decisions require human operators to understand and trust automation in order to rely on it appropriately. This study used a real human-telerobot system perfor ming a firefighting task in an unknown welding room to examine the effects of two different l vels of automation associated with intermittent and permanent visual system degrad ation on human performance, trust in automation, mental workload and situation awareness. Twenty-four participants were divided into two groups based on the level of automation use. Each participant completed a series of three 30-minutes se ssions in which he or she was required to explore the threat targets in an unknown “hazard” welding room. Results indicated a significant difference between low and high level of control in collision rate when permanent error occurred. And in low level automation group the typ of error had a significant effect on the collision rate, while it had a signi f cant effect on situation awareness dimensions in both groups. Generally, in the experiment high level of aut m tion had better performance than low level of automation especially if it is m ore reliable, suggesting that subjects in the high level of automation group could rely on the automati c i plementation to perform the task more effectively and more accurately.

Trust, situation awareness and automation use: exploring the effect of visual information degradations on human perception and performance in human-telerobot