Exploration of driver stress when resuming control from highly automated driving in an emergency situation

[1]  J. Navarro,et al.  Sensitivity of Physiological Measures of Acute Driver Stress: A Meta-Analytic Review , 2021, Frontiers in Neuroergonomics.

[2]  J. Navarro,et al.  Detecting driver stress and hazard anticipation using real‐time cardiac measurement: A simulator study , 2021, Brain and behavior.

[3]  A. Larocca,et al.  Effects of Fog in a Brazilian Road Segment Analyzed by a Driving Simulator for Sustainable Transport: Drivers’ Visual Profile , 2021, Sustainability.

[4]  Changxu Wu,et al.  Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance , 2020, Int. J. Hum. Comput. Interact..

[5]  M. Gamer,et al.  Freezing of gaze during action preparation under threat imminence , 2019, Scientific Reports.

[6]  Miguel Castelo-Branco,et al.  Neural correlates of anticipatory cardiac deceleration and its association with the speed of perceptual decision-making, in young and older adults , 2019, NeuroImage.

[7]  Enkelejda Kasneci,et al.  Assessment of Driver Attention during a Safety Critical Situation in VR to Generate VR-based Training , 2019, SAP.

[8]  Jordan Navarro,et al.  A state of science on highly automated driving , 2019 .

[9]  P. Pauli,et al.  Hypervigilance during anxiety and selective attention during fear: Using steady-state visual evoked potentials (ssVEPs) to disentangle attention mechanisms during predictable and unpredictable threat , 2018, Cortex.

[10]  Enkelejda Kasneci,et al.  Pupil response as an indicator of hazard perception during simulator driving , 2017, Journal of eye movement research.

[11]  K. Roelofs.  Freeze for action: neurobiological mechanisms in animal and human freezing , 2017, Philosophical Transactions of the Royal Society B: Biological Sciences.

[12]  Riender Happee,et al.  Human factors of transitions in automated driving: A general framework and literature survey , 2016 .

[13]  Riender Happee,et al.  The effects of time pressure on driver performance and physiological activity: a driving simulator study , 2016 .

[14]  Albrecht Schmidt,et al.  A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions , 2016, CHI.

[15]  K. Roelofs,et al.  Ready and waiting: Freezing as active action preparation under threat , 2016, Neuroscience Letters.

[16]  A. Hamm,et al.  When Threat Is Near, Get Out of Here , 2015, Psychological science.

[17]  Christine M. Wickens,et al.  In Situ Methodology for Studying State Driver Stress: A Between-Subjects Design Replication , 2015 .

[18]  Y. Ge,et al.  The effect of stress and personality on dangerous driving behavior among Chinese drivers. , 2014, Accident Analysis and Prevention.

[19]  Birsen Donmez,et al.  A Model of Anticipation in Driving: Processing Pre-event Cues for Upcoming Conflicts , 2014, AutomotiveUI.

[20]  Thierry Baccino,et al.  Automatic Stress Classification With Pupil Diameter Analysis , 2014, Int. J. Hum. Comput. Interact..

[21]  G. Griebel,et al.  Risk assessment as an evolved threat detection and analysis process , 2011, Neuroscience & Biobehavioral Reviews.

[22]  P. Hancock,et al.  Stress, Workload, and Fatigue , 2009 .

[23]  Lisa Dorn,et al.  Driver Stress and Performance on a Driving Simulator , 1998, Hum. Factors.

[24]  M. Fanselow.  Neural organization of the defensive behavior system responsible for fear , 1994, Psychonomic bulletin & review.

[25]  M. Trumper.  Bodily Changes in Pain, Hunger, Fear and Rage: An Account of Recent Researches into the Function of Emotional Excitement , 1930, The Psychological Clinic.

[26]  Christophe Jallais,et al.  Towards real-time detection of cognitive effort in driving: contribution of cardiac measurement , 2017 .

[27]  M. Bradley.  Natural selective attention: orienting and emotion. , 2009, Psychophysiology.

[28]  M. Bradley,et al.  Motivated attention: Affect, activation, and action. , 1997 .