Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: Dri 2017
DOI: 10.17077/drivingassessment.1653
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It’s Out of Our Hands Now! Effects of Non-Driving Related Tasks During Highly Automated Driving on Drivers’ Fatigue

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Cited by 43 publications
(33 citation statements)
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References 16 publications
(17 reference statements)
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“…Currently, the transition from automated to manual driving appears to be one of the main hurdles impeding the shift to SAE level 3 automation since during automated driving the humans in supervisory control tend to lose awareness of the driving mode (e.g. manual / automated driving mode) (Feldhütter et al, 2017), become tired (Jarosch et al, 2017) and start fiddling with non-driving related tasks (Naujoks et al, 2016). Therefore, the drivers are not ready to resume control of the driving promptly enough.…”
Section: Aided Human Driver Versus Full Automationmentioning
confidence: 99%
“…Currently, the transition from automated to manual driving appears to be one of the main hurdles impeding the shift to SAE level 3 automation since during automated driving the humans in supervisory control tend to lose awareness of the driving mode (e.g. manual / automated driving mode) (Feldhütter et al, 2017), become tired (Jarosch et al, 2017) and start fiddling with non-driving related tasks (Naujoks et al, 2016). Therefore, the drivers are not ready to resume control of the driving promptly enough.…”
Section: Aided Human Driver Versus Full Automationmentioning
confidence: 99%
“…Most research on automated driving has been directed at the assessment of transfer of control events (so called "take-over situations") from the automated vehicle to the human operator. It has revealed a variety of human factor issues such as fatigue [9], trust [10,11], mode awareness [12], and controllability [13]. The usability of L3 ADS HMIs, especially when coupled with driver assistance systems, is also an emerging topic [14,15].…”
Section: Introductionmentioning
confidence: 99%
“…The sample consisted of 66 participants. During a conditionally automated ride, participants had to deal with different NDRTs that were aimed at influencing the drivers’ sleepiness level ( n = 33 participants per group, see Jarosch et al [ 9 ] for a more detailed description of the NDRT conditions). The first NDRT, a quiz-task, was designed to keep the driver in an adequate arousal state The other NDRT was designed to induce sleepiness and consisted of a monotone vigilance task.…”
Section: Methods Validationmentioning
confidence: 99%