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How different mental workload levels affect the take-over control after automated driving
15 references·6 citing·39 second hop
How different mental workload levels affect the take-over control after automated driving (2016)How different mental workload levels affe…Transition of control in a partially automated vehicle: Effects of anticipation and non-driving-related task involvement (2017)Transition of control in a pa…Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations (2016)Taking Over Control From High…Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)Is take-over time all that ma…What determines the take-over time? An integrated model approach of driver take-over after automated driving (2015)What determines the take-over…Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle (2015)Trust in Automation – Before …Transition to manual: Driver behaviour when resuming control from a highly automated vehicle (2014)Transition to manual: Driver …Semi-automated versus highly automated driving in critical situations caused by automation failures (2014)Semi-automated versus highly …How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving (2014)How Traffic Situations and No…Effects 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…The Effects of Cell Phone Use and Automation on Driver Performance and Subjective State in Simulated Driving (2012)The Effects of Cell Phone Use…How Do Drivers Behave in a Highly Automated Car? (2009)How Do Drivers Behave in a Hi…Attention and automation: New perspectives on mental underload and performance (2002)Attention and automation: New…Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Humans and Automation: Use, M…Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Development of NASA-TLX (Task…The associative basis of the creative process. (1962)The associative basis of the …Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving (2023)Using pupillometry and gaze-b…Predicting Driver Takeover Time in Conditionally Automated Driving (2022)Predicting Driver Takeover Ti…Measuring drivers’ takeover performance in varying levels of automation: Considering the influence of cognitive secondary task (2021)Measuring drivers’ takeover p…How the Initial Level of Trust in Automated Driving Impacts Drivers’ Behaviour and Early Trust Construction (2021)How the Initial Level of Trus…How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review (2021)How drowsiness and distractio…From reading to driving (2018)From reading to drivingLevel of automation effects on performance, situation awareness and workload in a dynamic control task (1999)Autonomous Vehicles: Disengagements, Accidents and Reaction Times (2016)A human factors perspective on automated driving (2017)Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction (2018)Judgment under Uncertainty: Heuristics and Biases (1974)Human Error (1990)A model for types and levels of human interaction with automation (2000)Engineering Psychology and Human Performance (2015)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)The Out-of-the-Loop Performance Problem and Level of Control in Automation (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)The senses and the intellect. (1855)The Basic Writings of Sigmund Freud (1938)Positive affect facilitates creative problem solving. (1987)Exposure and affect: Overview and meta-analysis of research, 1968-1987. (1989)A meta-analysis of 25 years of mood-creativity research: Hedonic tone, activation, or regulatory focus? (2008)Fixed- and random-effects models in meta-analysis. (1998)Ironies of automation (1983)Design and Evaluation for Situation Awareness Enhancement (1988)Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting (2019)Judgment under Uncertainty: Heuristics and Biases (1975)Telling more than we can know: Verbal reports on mental processes. (1977)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Trust in Automation: Designing for Appropriate Reliance (2004)Trust in Automation (2014)Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust (2016)Psychosocial factors associated with intended use of automated vehicles: A simulated driving study (2018)Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021)Cognitive systems engineering (1995)Cell phone-induced failures of visual attention during simulated driving. (2003)“Take over!” How long does it take to get the driver back into the loop? (2013)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Performance Consequences of Automation-Induced 'Complacency' (1993)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)Modeling take-over performance in level 3 conditionally automated vehicles (2017)Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020)
this work references cited by second hop

References

  • 1988Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research15,045 cited
  • 1997Humans and Automation: Use, Misuse, Disuse, Abuse4,525 cited
  • 1962The associative basis of the creative process.4,140 cited
  • 2014Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence740 cited
  • 2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
  • 2015What determines the take-over time? An integrated model approach of driver take-over after automated driving488 cited
  • 2014How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving447 cited
  • 2016Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations441 cited
  • 2016Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving414 cited
  • 2015Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle346 cited
  • 2014Semi-automated versus highly automated driving in critical situations caused by automation failures194 cited
  • 2002Attention and automation: New perspectives on mental underload and performance194 cited
  • 2017Transition of control in a partially automated vehicle: Effects of anticipation and non-driving-related task involvement

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132 cited
  • 2009How Do Drivers Behave in a Highly Automated Car?109 cited
  • 2012The Effects of Cell Phone Use and Automation on Driver Performance and Subjective State in Simulated Driving85 cited
  • Cited by

    • 2022Predicting Driver Takeover Time in Conditionally Automated Driving75 cited
    • 2021How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review72 cited
    • 2021How the Initial Level of Trust in Automated Driving Impacts Drivers’ Behaviour and Early Trust Construction65 cited
    • 2023Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving64 cited
    • 2018From reading to driving62 cited
    • 2021Measuring drivers’ takeover performance in varying levels of automation: Considering the influence of cognitive secondary task59 cited