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Automated driving reduces perceived workload, but monitoring causes higher cognitive load than manual driving
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Automated driving reduces perceived workload, but monitoring causes higher cognitive load than manual driving (2018)Automated driving reduces perceived workl…Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis (2017)Effects of Cognitive Load on …A human factors perspective on automated driving (2017)A human factors perspective o…Review of Eye-related Measures of Drivers’ Mental Workload (2015)Review of Eye-related Measure…State of science: mental workload in ergonomics (2014)State of science: mental work…Mental workload and driving (2014)Mental workload and drivingEffects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014)Effects of adaptive cruise co…Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions (2013)Behavioural changes in driver…A Review of the Mental Workload Literature (2007)A Review of the Mental Worklo…Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)Validation of the Karolinska …Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)Nasa-Task Load Index (NASA-TL…Driver experience and cognitive workload in different traffic environments (2006)Driver experience and cogniti…Handbook of Human Factors and Ergonomics Methods (2004)Handbook of Human Factors and…Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance (2002)Malleable Attentional Resourc…Foundations for an Empirically Determined Scale of Trust in Automated Systems (2000)Foundations for an Empiricall…The measurement of drivers' mental workload (1996)The measurement of drivers' m…Categorization of action slips. (1981)Categorization of action slip…Integrating digital transformation with human-centric factors strategies to enhance organisational process performance: The H.O.P.E. model (2025)Integrating digital transform…Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving (2023)Using pupillometry and gaze-b…Supervising the self-driving car: Situation awareness and fatigue during highly automated driving (2023)Supervising the self-driving …Does active transport lead to improved mood and performance? A panel study of travel changes during the Covid-19 lockdown in Norway (2023)Does active transport lead to…(Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta (2023)(Mis-)use of standard Autopil…Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving (2022)Physiological indicators of d…Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles (2022)Modelling perceived risk and …Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers (2022)Driver distraction and its ef…Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire (2021)Perceived safety and trust in…A framework to estimate cognitive load using physiological data (2020)A framework to estimate cogni…Personality, motivation, and performance: A theory of the relationship between individual differences and information processing. 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(1998)Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)Using mobile telephones: cognitive workload and attention resource allocation (2003)Monitoring drivers’ mental workload in driving simulators using physiological measures (2010)Perception and Communication (2016)The Principles of Psychology (1891)Plans and the structure of behavior. (1960)A Critical View of Driver Behavior Models: What Do We Know, What Should We Do? (1985)Automaticity of social behavior: Direct effects of trait construct and stereotype activation on action. (1996)Emotion work and psychological well-being (2002)Language, Memory, and Thought (2013)Understanding team adaptation: A conceptual analysis and model. 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References

  • 2006Nasa-Task Load Index (NASA-TLX); 20 Years Later4,288 cited
  • 2000Foundations for an Empirically Determined Scale of Trust in Automated Systems1,792 cited
  • 1981Categorization of action slips.1,736 cited
  • 2006Validation of the Karolinska sleepiness scale against performance and EEG variables1,013 cited
  • 2014State of science: mental workload in ergonomics943 cited
  • 2004Handbook of Human Factors and Ergonomics Methods836 cited
  • 2014Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence740 cited
  • 1996The measurement of drivers' mental workload619 cited
  • 2002Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance405 cited
  • 2013Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions345 cited
  • 2007A Review of the Mental Workload Literature339 cited
  • 2017A human factors perspective on automated driving315 cited
  • 2017Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis299 cited
  • 2015Review of Eye-related Measures of Drivers’ Mental Workload293 cited
  • 2014Mental workload and driving

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247 cited
  • 2006Driver experience and cognitive workload in different traffic environments241 cited
  • Cited by

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    • 2021Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire76 cited
    • 2022Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving71 cited
    • 2023Supervising the self-driving car: Situation awareness and fatigue during highly automated driving71 cited
    • 2020A framework to estimate cognitive load using physiological data67 cited
    • 2023(Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta65 cited
    • 2023Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving64 cited
    • 2023Does active transport lead to improved mood and performance? A panel study of travel changes during the Covid-19 lockdown in Norway21 cited
    • 2025Integrating digital transformation with human-centric factors strategies to enhance organisational process performance: The H.O.P.E. model16 cited