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Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non–Driving Related Tasks on Takeover Time and Takeover Quality
16 references·6 citing·38 second hop
Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non–Driving Related Tasks on Takeover Time and Takeover Quality (2019)Noncritical State Transitions During Cond…Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Takeover Time in Highly Autom…Users’ resistance towards radical innovations: The case of the self-driving car (2016)Users’ resistance towards rad…The influence of age on the take-over of vehicle control in highly automated driving (2016)The influence of age on the t…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…Investigating user needs for non-driving-related activities during automated driving (2016)Investigating user needs for …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 …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…Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions (2013)Behavioural changes in driver…“Take over!” How long does it take to get the driver back into the loop? (2013)“Take over!” How long does it…Highly Automated Driving, Secondary Task Performance, and Driver State (2012)Highly Automated Driving, Sec…Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers (2009)Impact of Incremental Increas…Preparing to resume an interrupted task: effects of prospective goal encoding and retrospective rehearsal (2003)Preparing to resume an interr…The Out-of-the-Loop Performance Problem and Level of Control in Automation (1995)The Out-of-the-Loop Performan…Subjective and Objective Sleepiness in the Active Individual (1990)Subjective and Objective Slee…Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review (2023)Impact of non-driving related…Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust (2021)Modeling takeover behavior in…How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review (2021)How drowsiness and distractio…DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data (2021)DeepTake: Prediction of Drive…Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles (2020)Effects of Non-Driving-Relate…A Wizard of Oz Field Study to Understand Non-Driving-Related Activities, Trust, and Acceptance of Automated Vehicles (2020)A Wizard of Oz Field Study to…Ironies of automation (1983)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Level 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)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Fixed- and random-effects models in meta-analysis. (1998)Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)Design and Evaluation for Situation Awareness Enhancement (1988)Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations (2016)Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)Proceedings of the Human Factors and Ergonomics Society 2019 Annual Meeting (2019)Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models (1983)Theoretical Underpinnings of Situation Awareness, A Critical Review (2000)From Here to Autonomy (2016)What makes interruptions disruptive? A study of length, similarity, and complexity (1989)The Influence of Task Interruption on Individual Decision Making: An Information Overload Perspective (1999)In-class laptop use and its effects on student learning (2007)Measuring and defining the experience of immersion in games (2008)Threaded cognition: An integrated theory of concurrent multitasking. (2008)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)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)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)Research Methods for Business Students (2003)Trust in Automation: Designing for Appropriate Reliance (2004)Attitudes and concerns on automated vehicles (2018)How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle (2018)Diffusion of Innovations 1 (2019)AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles (2020)A Critical View of Driver Behavior Models: What Do We Know, What Should We Do? (1985)Driver Distraction Identification with an Ensemble of Convolutional Neural Networks (2019)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Systematic Interindividual Differences in Neurobehavioral Impairment from Sleep Loss: Evidence of Trait-Like Differential Vulnerability (2004)Validation of the Karolinska sleepiness scale against performance and EEG variables (2006)
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References

  • 1990Subjective and Objective Sleepiness in the Active Individual3,088 cited
  • 1995The Out-of-the-Loop Performance Problem and Level of Control in Automation1,400 cited
  • 2013“Take over!” How long does it take to get the driver back into the loop?775 cited
  • 2014Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence740 cited
  • 2017Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control691 cited
  • 2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
  • 2003Preparing to resume an interrupted task: effects of prospective goal encoding and retrospective rehearsal457 cited
  • 2014How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving447 cited
  • 2016Users’ resistance towards radical innovations: The case of the self-driving car421 cited
  • 2016Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving414 cited
  • 2009Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers394 cited
  • 2012Highly Automated Driving, Secondary Task Performance, and Driver State393 cited
  • 2015Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle

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346 cited
  • 2013Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions345 cited
  • 2016Investigating user needs for non-driving-related activities during automated driving297 cited
  • 2016The influence of age on the take-over of vehicle control in highly automated driving245 cited
  • Cited by

    • 2021DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data94 cited
    • 2021Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust81 cited
    • 2020Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles80 cited
    • 2021How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review72 cited
    • 2020A Wizard of Oz Field Study to Understand Non-Driving-Related Activities, Trust, and Acceptance of Automated Vehicles71 cited
    • 2023Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review68 cited