AdelmanL.CohenM. S.BresnickT. A.ChinnisJ. O.Jr.LaskeyK. B. (1993). Real-time expert system interfaces, cognitive processes, and task performance: An empirical assessment. Human Factors, 35, 243–261.
FittsP. M. (1951). Human engineering for an effective air-navigation and traffic-control system. Washington, DC: National Research Council.
4.
JohnsonA. W.DudaK. R.SheridanT. B.OmanC. M. (2017). A closed-loop model of operator visual attention, situation awareness, and performance across automation mode transitions. Human Factors, 59, 229–241.
5.
LaytonC.SmithP. J.McCoyC. E. (1994). Design of a cooperative problem-solving system for en-route flight planning: An empirical evaluation. Human Factors, 36, 94–119.
6.
MarquezJ. J.AdelsteinB. D.EllisS.ChangM. L.HowardR. (2016). Evaluation of human and automation/robotics integration needs for future human exploration missions. In 2016 IEEE Aerospace Conference (pp. 1–9). New York, NY: IEEE.
7.
MorayN.InagakiT.ItohM. (2000). Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. Journal of Experimental Psychology: Applied, 6, 44.
8.
MurphyR.ShieldsJ. (2012). The role of autonomy in DoD systems. Task force report, Defense Science Board, Washington, DC.
9.
OnnaschL.WickensC. D.LiH.ManzeyD. (2014). Human performance consequences of stages and levels of automation: An integrated meta-analysis. Human Factors, 56, 476–488.
10.
SebokA.WickensC. D. (2017). Implementing lumberjacks and black swans into model-based tools to support human–automation interaction. Human Factors, 59, 189–203.
11.
SheridanT. B. (2002). Humans and automation: System design and research issues. New York, NY: Wiley.
12.
StowersK.OglesbyJ.SoneshS.LeyvaK.IwigC.SalasE. (2017). A framework to guide the assessment of human–machine systems. Human Factors, 59, 172–188.
13.
StrauchB. (2017). The automation-by-expertise-by-training interaction: Why automation-related accidents continue to occur in sociotechnical systems. Human Factors, 59, 204–228.