Workload and Reliability of Predictor Displays in Aircraft Traffic Avoidance

By C. Wickens, Keith Gempler, M. Morphew. 2000

119 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Management Science and Operations Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/469c7a94193d3202f80de4d29ebddce11783c135

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In Aerospace Engineering

In Management Science and Operations Research

In Social Psychology

Citations in the corpus

Impact of robot failures and feedback on real-time trust (2013, methodology): “For example, while using the .ight management system (FMS) to navigate to Cali, Colombia, the crew of American Airlines Flight 965 entered the .rst few characters for their destination.”
Humans: Still Vital After All These Years of Automation (2008, methodology): “A common example is automated analysis of incoming data for extrapolation over time, or prediction, as in displays that show both the current and the anticipated future state of a controlled process, based on inference models (Moray, 1986; Wickens, Gempler, & Morphew, 2000 ).”
Prediction in Situation Awareness: Confidence Bias and Underlying Cognitive Abilities (2011, background): “There is, of course, a close linkage between Level 3 SA and the psychology of prediction ( Einhorn & Hogarth, 1978 ; Kahneman & Tversky, 1973 ; Tetlock, 2005 ; Wickens, Gempler, & Morphew, 2000 ), with Level 3 SA representing the subset of prediction literature focusing on dynamic elements (in co”
Developing Decision Aids to Enable Human Spaceflight Autonomy (2017, background): “On the contrary, when there is trust in the system being used, operators will be more reliant on it (Parasuraman, Sheridan, and Wickens 2008), and their performance may be superior to each (human or system) acting alone (Wickens, Gempler, and Morphew 2000).”
Similarities and differences between human–human and human–automation trust: an integrative review (2007, background): “Wickens et al. (2000) have discussed the development of trust in a system given its specific level of predictability (i.e. reliability).”
Effects of Imperfect Automation on Decision Making in a Simulated Command and Control Task (2007, background): “One reason may be the use of displays that integrate raw data, thus supporting the operator better and reducing com-placency effects (Molloy & Parasuraman, 1994; Wickens et al., 2000).”
Trust in Automation: Designing for Appropriate Reliance (2004, background): “Knowing that the predictor was not completely reliable helped pilots to calibrate their trust and adopt an appropriate allocation of attention between the raw data and the predictor information (Wickens et al., 2000).”