ABSTRACT

Different facets of politeness and etiquette can markedly influence collaboration between humans and automation, in a similar way to human-human relationships . We identify theories relevant to understanding the nature of human­ automation etiquette and explore several ways to evaluate how etiquette affects performance in complex human-machine systems, including behavioral and computational methods. We complement these approaches with a neuroergonomic perspective (Parasuraman, 2003 ; Parasuraman & Rizzo , 2007). Recent research has shown that examining theories and empirical findings on human brain function can bolster OLlr understanding of such aspects of human performance at work as mental workload, vigilance, adaptive automation, and individual differences (Parasuraman & Wilson, 2008) . Accordingly, we examine human-automation etiquette from the perspective of both human behavioral and neural mechanisms.