Transition to manual: driver behaviour when resuming control from a highly automated vehicle
By Natasha Merat, A. Jamson, Frank C. H. Lai, Michael Daly, Oliver M. J. Carsten. 2014
645 citations recorded by the source corpus.
A driving simulator study was designed to investigate drivers’ ability to resume control from a highly automated vehicle in two conditions: (i) when automation was switched off and manual control was required at a system-based, regular interval and (ii) when transition to manual was based on the length of time drivers were looking away from the road ahead. In addition to studying the time it took drivers to successfully resume control from the automated system, eye tracking data were used to observe visual attention to the surrounding environment and the pattern of drivers’ eye fixations as manual control was resumed in the two conditions. Results showed that drivers’ pattern of eye movement fixations remained variable for some time after automation was switched off, if disengagement was actually based on drivers’ distractions away from the road ahead. When disengagement was more predictable and system-based, drivers’ attention towards the road centre was higher and more stable. Following a lag of around 10 s, drivers’ lateral control of driving and steering corrections (as measured by SDLP and high frequency component of steering, respectively) were more stable when transition to manual control was predictable and based on a fixed time. Whether automation transition to manual was based on a fixed or variable interval, it took drivers around 35–40 s to stabilise their lateral control of the vehicle. The results of this study indicate that if drivers are out of the loop due to control of the vehicle in a limited self-driving situation (Level 3 automation), their ability to regain control of the vehicle is better if they are expecting automation to be switched off. As regular disengagement of automation is not a particularly practical method for keeping drivers in the loop, future research should consider how to best inform drivers of their obligation to resume control of driving from an automated system.
Subfields: Automotive Engineering, Safety, Risk, Reliability and Quality, 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 Automotive Engineering
- Jacob Lambert
- Alexander Carballo
- Ekim Yurtsever
- Kazuya Takeda
- J. D. de Winter
- Riender Happee
- Miltos Kyriakidis
In Safety, Risk, Reliability and Quality
- J. D. de Winter
- Miltos Kyriakidis
- Riender Happee
- Neville A Stanton
- Tyron Louw
- Alexander Eriksson
- Kazuya Takeda
- Alexander Carballo
In Social Psychology
- J. D. de Winter
- Miltos Kyriakidis
- Riender Happee
- Neville A Stanton
- Tyron Louw
- Alexander Eriksson
- Kazuya Takeda
- Alexander Carballo
Citations in the corpus
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “Recent studies [36], [37] investigated this problem and found that the takeover”
- Explanations in Autonomous Driving: A Survey (2021, background): “However, there are issues with the manual handover from automatic mode to human [135], [136].”
- Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014, neutral): “…2000; Desmond et al., 1998; Eick & Debus, 2005; Gouy, Diels, Reed, Stevens, & Burnett, 2013; Gouy, Wiedemann, Stevens, Brunett, & Reed, 2014; Levitan et al., 1998; Merat et al., 2014; Neubauer et al., 2012; Saxby et al., 2013; Skottke, Debus, Wang, & Huestegge, in press; Wille et al., 2007).”
- Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017, background): “The observed values in the current study are closer to the higher values observed by Merat et al. (2014), whereas the median range of 4.56 to 6.06 s is closer to the range of times suggested by Gold et al. (2013) and Damböck et al. (2012).”
- A Review of Motion Planning for Highway Autonomous Driving (2020, neutral): “takes the control back [176].”
- Engaging with Highly Automated Driving: To be or Not to be in the Loop? (2017, background): “There has been a great deal of interest regarding how to safely re-engage drivers in manual driving following a period of HAD (Merat et al., 2014), with the out-of-the-loop phenomenon cited as a primary contributor to impaired performance.”
- Human factors of transitions in automated driving: A general framework and literature survey (2016, background): “Van den Beukel and Van der Voort (2013) used an auditory warning only, and Merat et al. (2014) used a visual indication only.”