Supporting Decision Making and Action Selection under Time Pressure and Uncertainty: The Case of In-Flight Icing
By Nadine B. Sarter, Beth A. Schroeder. 2001
216 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Raja Parasuraman
- C. Wickens
- Dietrich Manzey
- M. Cummings
- John M. McGuirl
- Enrico W. Coiera
- David Lyell
- Mica R. Endsley
In Social Psychology
- C. Wickens
- Raja Parasuraman
- Mica R. Endsley
- Dietrich Manzey
- Linda Onnasch
- M. Cummings
- Huiyang Li
- Enrico W. Coiera
Citations in the corpus
- From Here to Autonomy (2017, background): “This type of automation significantly reduces workload and can enhance both SA and performance with little negative effects (Endsley et al., 2003; Endsley & Selcon, 1997; Onnasch et al., 2014; Sarter & Schroeder, 2001).”
- Effects of Imperfect Automation on Decision Making in a Simulated Command and Control Task (2007, background): “Several studies have examined the differential effects of stages and levels of automation on human performance (Crocoll & Coury, 1990; Endsley & Kaber, 1999; Galster, Bolia, & Parasuraman, 2002; Lorenz, Di Nocera, Röttger, & Parasura-man, 2002; Sarter & Schroeder, 2001; Wickens & Xu, 2002).”
- Human Performance Consequences of Automated Decision Aids (2012, background): “For example, Sarter and Schroeder (2001) examined the performance of pilots interacting with automated decision aids that supported decision making in case of in-flight icing events.”
- Complacency and Bias in Human Use of Automation: An Attentional Integration (2010, methodology): “Using a similar paradigm as in the study of Sarter and Schroeder (2001), they investigated effects of decision aids that not only provided information about the icing condition (status display) or specific recommendations for proper actions (command display) but also confidence values for each.”
- Automation and Accountability in Decision Support System Interface Design (2006, background): “Ethical and social impact issues can arise during all phases of design, and identifying and addressing these issues as early as possible can help the designer to both analyze the domain more comprehensively as well as suggest specific design guidance.”
- Human Performance Consequences of Stages and Levels of Automation (2014, background): “…some studies support the existence of the trade-off as defined by better routine performance but worse performance when automation fails (e.g., Sarter & Schroeder, 2001), others do not find this effect (Lorenz et al., 2002a) and still others suggest that medium levels of automation provide…”
- Automation Bias in Intelligent Time Critical Decision Support Systems (2004, background): “However, when the computer’s advice was erroneous, those people without the command display outperformed those with one 20 .”
- Humans: Still Vital After All These Years of Automation (2008, background): “In a full-mission simulator study, Sarter and Schroeder (2001) provided pilots flying in potentially icy conditions with icing-monitoring improved performance.”
- Supporting Trust Calibration and the Effective Use of Decision Aids by Presenting Dynamic System Confidence Information (2006, methodology): “The high stall incidence for the fixed group confirms earlier findings by Sarter and Schroeder (2001).”
- Automation bias and verification complexity: a systematic review (2017, background): “Respond to air traffic control (41) 27 commercial pilots 10 part flights – P< .”