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| Sourd, Romain Crastes Dit |
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| Marton, Peter |
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| Toaza, Bladimir |
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| Lubashevsky, Katrin |
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| Ambros, Jiří |
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| Niederdränk, Simon |
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| Khoshkha, Kaveh |
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| Brenner, Thomas |
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| Badea, Andrei | Delft |
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| Michálek, Tomáš | Pardubice |
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| Jensen, Anders Fjendbo | Kongens Lyngby |
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| Le Goff, A. |
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| Greer, Ross |
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| Gutiérrez, Javier | Madrid |
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| Sagues, Mikel |
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| Eggermond, Michael Van |
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| Milica Milovanović, M. |
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| Carrasco, Juan-Antonio |
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| Groen, Eric L. |
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| Tzenos, Panagiotis |
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| Mesas, Juan-José |
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| Oikonomou, Maria G. |
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| Messiou, Chrysovalanto |
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| Giuliani, Felice |
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| Roussou, Julia |
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Wilkie, Rm
in Cooperation with on an Cooperation-Score of 37%
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Publications (6/6 displayed)
- 2021Drivers use active gaze to monitor waypoints during automated driving
- 2019Getting back into the loop: the perceptual-motor determinants of successful transitions out of automated driving
- 2018Steering bends and changing lanes: the impact of optic flow and road edges on two point steering control
- 2017Looking to the future of visual assessment using driving simulation
- 2012Movement control in older adults: Does old age mean middle of the road?citations
- 2008Active gaze, visual look-ahead, and locomotor controlcitations
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article
Getting back into the loop: the perceptual-motor determinants of successful transitions out of automated driving
Abstract
Objective: To present a structured, narrative review highlighting research into human perceptual-motor coordination that can be applied to Automated Vehicle (AV)-Human ‘transitions’. Background: Manual control of vehicles is made possible by the coordination of perceptual-motor behaviours (gaze and steering actions), where active feedback loops enable drivers to respond rapidly to ever-changing environments. AVs will change the nature of driving to periods of monitoring followed by the human driver taking over manual control. The impact of this change is currently poorly understood. Method: We outline an explanatory framework for understanding control transitions based on models of human steering control. This framework can be summarised as a perceptual-motor loop that requires i) calibration and ii) gaze and steering coordination. A review of the current experimental literature on transitions is presented in the light of this framework. Results: The success of transitions are often measured using reaction times, however, the perceptual-motor mechanisms underpinning steering quality remain relatively unexplored. Conclusion: Modelling the coordination of gaze and steering, and the calibration of perceptual-motor control will be crucial to ensure safe and successful transitions out of automated driving. Application: This conclusion poses a challenge for future research on AV-Human transitions. Future studies need to provide an understanding of human behaviour which will be sufficient to capture the essential characteristics of drivers re-engaging control of their vehicle. The proposed framework can provide a guide for investigating specific components of human control of steering, and potential routes to improving manual control recovery.
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