A proposed psychological model of driving automation
By Neville A Stanton, Mark S. Young. 2000
136 citations recorded by the source corpus.
Subfields: Automotive Engineering, Safety, Risk, Reliability and Quality, Social Psychology
View Paper: https://www.semanticscholar.org/paper/fd8b1be5aa7024d865151aa39e4bec4a1c002755
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Safety, Risk, Reliability and Quality
- Miltos Kyriakidis
- J. D. de Winter
- Riender Happee
- Gerald Matthews
- Paul M. Salmon
- Neville A Stanton
- Brady Michael Kuhl
In Social Psychology
- Neville A Stanton
- Riender Happee
- J. D. de Winter
- Miltos Kyriakidis
- Daniel Paul Jenkins
- Paul M. Salmon
- Guy H. Walker
- Mark S. Young
Citations in the corpus
- Towards a transactional ergonomics for driver stress and fatigue (2002, background): “High workload and stress may both contribute to loss of situation awareness in the automated vehicle (Stanton and Young 2000).”
- What really is going on? Review of situation awareness models for individuals and teams (2008, background): “Despite this, it did not begin to receive attention in academic circles until the late 1980s (Stanton and Young 2000 ), when SA-related research began to emerge within the aviation and air traffic control domains (Endsley 1993 ).”
- A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, background): “Locus of control was one of the main variables in a psychological model of driving automation (Stanton and Young 2000) updated in a later study (Heikoop et al.”
- Is situation awareness all in the mind? (2010, background): “There can be no doubt that situation awareness (SA) is potentially one of the most important topics facing ergonomics, along with workload, error trust, stress, mental models and feedback (Stanton and Young 2000).”
- Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014, background): “…Human Factors researchers would probably agree that workload and situation awareness are two of the most important Human Factors constructs that are predictive of performance and safety (McCauley & Miller, 1997; Parasuraman, Sheridan, & Wickens, 2008; Sarter & Woods, 1991; Stanton & Young, 2000).”