Adaptive automation, trust, and self-confidence in fault management of time-critical tasks.
By Neville Moray, T. Inagaki, M. Itoh. Journal of experimental psychology. Applied, 2000
390 citations recorded by the source corpus.
Subfields: Radiological and Ultrasound Technology, Social Psychology, Surgery
View Paper: https://www.semanticscholar.org/paper/2bd7793923043fd90c11f8770e3c7264c080b9bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Radiological and Ultrasound Technology
- Raja Parasuraman
- Wendy A. Rogers
- John D. Lee
- Arthur D. Fisk
- Daniel R. Ilgen
- Stephanie M. Merritt
- Kristin E. Schaefer
- Enid N. H. Montague
In Social Psychology
- Stephanie M. Merritt
- Raja Parasuraman
- Jessie Y.C. Chen
- Kristin E. Schaefer
- Thomas B. Sheridan
- James L. Szalma
- Linda Ng Boyle
- Sara E. McBride
In Surgery
- John D. Lee
- Linda Ng Boyle
- Mahtab Ghazizadeh
- Jessie Y.C. Chen
- Wendy A. Rogers
- Arthur D. Fisk
- Thomas B. Sheridan
- Daniel R. Ilgen
Citations in the corpus
- Human-Automation Interaction (2005, background): “At the same time, several researchers have investigated human performance in relation to adaptive automation using simulations of flight, air traffic control, driving tasks, and process control (Inagaki, 2003; Moray et al., 2000; Parasuraman, 1993; Scerbo, 1996).”
- Not All Trust Is Created Equal: Dispositional and History-Based Trust in Human-Automation Interactions (2008, methodology): “Trust in the system was negatively affected by machine errors on a route-planning task (de Vries et al., 2003), a visual search task (Dzindolet et al., 2003), the PASTEURIZER task (Lee & Moray, 1992), and others (Johnson, 2004; Moray, Inagaki, & Itoh, 2000; Wiegmann, Rich, & Zhang, 2001).”
- Trust in Automation: Designing for Appropriate Reliance (2004, background): “The absolute level of this drop-off seems to be highly system and context dependent, with estimates ranging from 90% (Moray et al., 2000) and 70% (Kantowitz et al., 1997a) to 60% (Fox, 1996).”
- Understanding human management of automation errors (2013, methodology): “Not surprisingly, research has demonstrated that using perfectly reliable automation results in superior system performance when compared to manual performance (Moray, Inagaki, and Itoh 2000; Dixon, Wickens, and Chang 2005).”
- Validation of A Trust In Medical Technology Instrument (2010, background): “…(Lee and Moray, 1994; Muir, 1994; Muir and Moray, 1996; Parasuraman and Riley, 1997; Bisantz and Seong, 2001; Hoc, 2000; Lewandowsky et al., 2000; Moray, 2000; Sheridan, 2002; Dzindolet et al., 2003; Lee and See, 2004) and trust between users and internet technologies (Basso et al., 2001;…”
- A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016, background): “Systems with highly reliable behavior and communication engender trust across differing task contexts (Bagheri & Jamieson, 2004; Bailey et al., 2006; Bliss & Acton, 2003; Cahour & Forzy, 2009; Cummings, Clare, & Hart,, 2010; Donmez et al., 2006; Ho et al., 2005; Kazi, Stanton, Walker, & Young, 2007;”
- Extending the Technology Acceptance Model to assess automation (2011, background): “Granting automation full control without operator approval might be limited to situations where operators fail to respond or where operators cannot respond fast enough (Moray et al. 2000).”
- Designing for Flexible Interaction Between Humans and Automation: Delegation Interfaces for Supervisory Control (2007, background): “Studies have shown that adaptive systems can regulate operator workload and enhance performance while preserving the benefits of automation (Hilburn, Jorna, Byrne, & Parasuraman, 1997; Kaber & Endsley, 2004; Moray et al., 2000; Prinzel et al., 2003).”