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The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand
13 references·9 citing·38 second hop
The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand (2014)The sensitivity of different methodologie…Classifying driver workload using physiological and driving performance data (2014)Classifying driver workload u…Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task (2012)Sensitivity of Physiological …A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups (2012)A Field Study on the Impact o…Combining cognitive and visual distraction: Less than the sum of its parts (2010)Combining cognitive and visua…Impact of Cognitive Task Complexity on Drivers’ Visual Tunneling (2009)Impact of Cognitive Task Comp…Effects of distraction and experience on situation awareness and simulated driving (2007)Effects of distraction and ex…An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance (2006)An on-road assessment of cogn…Sensitivity of eye-movement measures to in-vehicle task difficulty (2005)Sensitivity of eye-movement m…Effects of visual and cognitive load in real and simulated motorway driving (2005)Effects of visual and cogniti…Mental workload while driving: Effects on visual search, discrimination, and decision making. (2003)Mental workload while driving…Cell phone-induced failures of visual attention during simulated driving. (2003)Cell phone-induced failures o…Effects of verbal and spatial-imagery tasks on eye fixations while driving. (2000)Effects of verbal and spatial…Eye movement indices of mental workload (1990)Eye movement indices of menta…Detection of Driver Cognitive Distraction Using Machine Learning Methods (2023)Detection of Driver Cognitive…Psychophysiological responses to takeover requests in conditionally automated driving (2020)Psychophysiological responses…Predicting driver takeover performance in conditionally automated driving (2020)Predicting driver takeover pe…Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-Car data (2017)Glass half-full: On-road glan…The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human–Computer Interaction (2016)The Psychophysiology Primer: …Leading to distraction: Driver distraction, lead car, and road environment (2016)Leading to distraction: Drive…Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway (2016)Detection of Driver Cognitive…Crash prediction with behavioral and physiological features for advanced vehicle collision avoidance system (2016)Crash prediction with behavio…Towards testing auditory–vocal interfaces and detecting distraction while driving: A comparison of eye-movement measures in the assessment of cognitive workload (2015)Towards testing auditory–voca…Design and Analysis: A Researcher's Handbook (1975)Human Mental Workload (1988)Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone (2001)Mental workload when driving in a simulator: Effects of age and driving complexity (2009)Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis (2017)The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (2018)Social Cognition (1999)Social Cognition: Making Sense of People (2000)The validity of driving simulation for assessing differences between in-vehicle informational interfaces: A comparison with field testing (2010)The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation (2011)Measuring Cognitive Distraction in the Automobile (2013)Multiple resources and performance prediction (2002)Assessing Cognitive Distraction in the Automobile (2015)Engineering Psychology and Human Performance (2015)Mental workload is reflected in driver behaviour, physiology, eye movements and prefrontal cortex activation (2018)The Validity of Physiological Measures to Identify Differences in Intrinsic Cognitive Load (2021)Where we look when we steer (1994)Stress, Workload, and Fatigue (2000)Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions (2013)What determines the take-over time? An integrated model approach of driver take-over after automated driving (2015)Design and Evaluation for Situation Awareness Enhancement (1988)Toward a Theory of Situation Awareness in Dynamic Systems (1995)A Systematic Review and Meta-Analysis of Direct Objective Measures of Situation Awareness: A Comparison of SAGAT and SPAM (2019)Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving (2021)Eye movements in reading and information processing: 20 years of research. (1998)A meta-analysis of the effects of cell phones on driver performance (2008)Varieties of attention (1984)Meta-analysis of experiments with matched groups or repeated measures designs. (1996)The mobile connection: the cell phone's impact on society (2004)Facebook® and academic performance (2010)Can you connect with me now? How the presence of mobile communication technology influences face-to-face conversation quality (2012)On the economy of the human-processing system. (1979)Modeling drivers' visual attention allocation while interacting with in-vehicle technologies. (2006)Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Decision-making in driver-automation shared control: A review and perspectives (2020)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)
this work references cited by second hop

References

  • 2003Cell phone-induced failures of visual attention during simulated driving.1,025 cited
  • 2005Effects of visual and cognitive load in real and simulated motorway driving836 cited
  • 2003Mental workload while driving: Effects on visual search, discrimination, and decision making.685 cited
  • 2006An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance526 cited
  • 2005Sensitivity of eye-movement measures to in-vehicle task difficulty492 cited
  • 2000Effects of verbal and spatial-imagery tasks on eye fixations while driving.492 cited
  • 2012Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task298 cited
  • 2010Combining cognitive and visual distraction: Less than the sum of its parts271 cited
  • 2007Effects of distraction and experience on situation awareness and simulated driving254 cited
  • 2009Impact of Cognitive Task Complexity on Drivers’ Visual Tunneling189 cited
  • 2014Classifying driver workload using physiological and driving performance data182 cited
  • 1990Eye movement indices of mental workload181 cited
  • 2012A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups154 cited

Cited by

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2020
Predicting driver takeover performance in conditionally automated driving
142 cited
  • 2016Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway115 cited
  • 2016The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human–Computer Interaction111 cited
  • 2020Psychophysiological responses to takeover requests in conditionally automated driving108 cited
  • 2016Crash prediction with behavioral and physiological features for advanced vehicle collision avoidance system90 cited
  • 2016Leading to distraction: Driver distraction, lead car, and road environment84 cited
  • 2017Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-Car data79 cited
  • 2015Towards testing auditory–vocal interfaces and detecting distraction while driving: A comparison of eye-movement measures in the assessment of cognitive workload72 cited
  • 2023Detection of Driver Cognitive Distraction Using Machine Learning Methods68 cited