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Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions
16 references·9 citing·37 second hop
Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions (2018)Rolling Out the Red (and Green) Carpet: S…Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Takeover Time in Highly Autom…What determines the take-over time? An integrated model approach of driver take-over after automated driving (2015)What determines the take-over…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…“Take over!” How long does it take to get the driver back into the loop? (2013)“Take over!” How long does it…Joint Cognitive Systems: Foundations of Cognitive Systems Engineering (2005)Joint Cognitive Systems: Foun…Joint Cognitive Systems (2005)Joint Cognitive SystemsA model for types and levels of human interaction with automation (2000)A model for types and levels …Does automation bias decision-making? (1999)Does automation bias decision…A simple procedure for the assessment of acceptance of advanced transport telematics (1997)A simple procedure for the as…Performance Consequences of Automation-Induced 'Complacency' (1993)Performance Consequences of A…Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Development of NASA-TLX (Task…Relevance: Communication and Cognition (1986)Relevance: Communication and …A Critical View of Driver Behavior Models: What Do We Know, What Should We Do? (1985)A Critical View of Driver Beh…Flight-deck automation: promises and problems (1980)Flight-deck automation: promi…Does a faster takeover necessarily mean it is better? A study on the influence of urgency and takeover-request lead time on takeover performance and safety (2022)Does a faster takeover necess…The effects of age and physical exercise on multimodal signal responses: Implications for semi-autonomous vehicle takeover requests (2021)The effects of age and physic…Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust (2021)Modeling takeover behavior in…Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence (2021)Effects of User Interfaces on…Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality (2021)Designing Alert Systems in Ta…Are novice drivers competent to take over control from level 3 automated vehicles? A comparative study with experienced drivers (2021)Are novice drivers competent …Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers’ Takeover Performance in Conditionally Automated Driving (2020)Evaluating Effects of Cogniti…Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving (2019)Getting Back Into the Loop: T…Carrot and stick: A game-theoretic approach to motivate cooperative driving through social interaction (2018)Carrot and stick: A game-theo…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Attitude-behavior relations: A theoretical analysis and review of empirical research. (1977)Telling more than we can know: Verbal reports on mental processes. 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The impact of visual-cognitive load on driver take-over quality after conditionally automated driving (2016)A human factors perspective on automated driving (2017)Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)The Measurement of Meaning (1957)Intention to use a fully automated car: Attitudes and a priori acceptability (2014)Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems (2017)Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Trust in Automation (2014)Engineering Psychology and Human Performance (2015)Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy (2020)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)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)Modeling and Predicting Mental Workload in En Route Air Traffic Control: Critical Review and Broader Implications (2007)Extending the Technology Acceptance Model to assess automation (2011)The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (2018)Beyond modularity: a developmental perspective on cognitive science (1993)Understanding and sharing intentions: The origins of cultural cognition (2005)Misinformation and Its Correction (2012)Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs (2008)From Here to Autonomy (2016)
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References

  • 1988Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research15,045 cited
  • 1986Relevance: Communication and Cognition6,707 cited
  • 2000A model for types and levels of human interaction with automation4,175 cited
  • 1985A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?1,285 cited
  • 1993Performance Consequences of Automation-Induced 'Complacency'873 cited
  • 1997A simple procedure for the assessment of acceptance of advanced transport telematics867 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
  • 2005Joint Cognitive Systems: Foundations of Cognitive Systems Engineering732 cited
  • 1999Does automation bias decision-making?704 cited
  • 2005Joint Cognitive Systems694 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
  • 1980Flight-deck automation: promises and problems599 cited
  • 2015

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What determines the take-over time? An integrated model approach of driver take-over after automated driving
488 cited
  • 2014How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving447 cited
  • Cited by

    • 2022Does a faster takeover necessarily mean it is better? A study on the influence of urgency and takeover-request lead time on takeover performance and safety89 cited
    • 2021Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust81 cited
    • 2018Carrot and stick: A game-theoretic approach to motivate cooperative driving through social interaction79 cited
    • 2020Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers’ Takeover Performance in Conditionally Automated Driving78 cited
    • 2019Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving65 cited
    • 2021Are novice drivers competent to take over control from level 3 automated vehicles? A comparative study with experienced drivers59 cited
    • 2021The effects of age and physical exercise on multimodal signal responses: Implications for semi-autonomous vehicle takeover requests51 cited
    • 2021Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence50 cited
    • 2021Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality49 cited