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Driver distraction and inattention, advances in research and countermeasures
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Driver distraction and inattention, advances in research and countermeasures (2013)Driver distraction and inattention, advan…Real-time monitoring of driver distraction: State-of-the-art and future insights (2023)Real-time monitoring of drive…MENTAL WORKLOAD (2021)MENTAL WORKLOADA model for naturalistic glance behavior around Tesla Autopilot disengagements (2021)A model for naturalistic glan…Evaluation of Gesture-Based In-Vehicle Interaction: User Experience and the Potential to Reduce Driver Distraction (2019)Evaluation of Gesture-Based I…Drivers anticipate lead-vehicle conflicts during automated longitudinal control: Sensory cues capture driver attention and promote appropriate and timely responses (2016)Drivers anticipate lead-vehic…Frequency and impact of hands-free telephoning while driving – Results from naturalistic driving data (2015)Frequency and impact of hands…Multiple driver distractions: A systemic transport problem (2014)Multiple driver distractions:…Driver distraction: A review of the literature (2003)Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques (2006)A meta-analysis of the effects of cell phones on driver performance (2008)Some Social and Psychological Consequences of the Longwall Method of Coal-Getting (1951)Varieties of attention (1984)Design and Evaluation for Situation Awareness Enhancement (1988)Influence of drivers’ visual and cognitive attention on their perception of changes in the traffic environment (2019)A Critical View of Driver Behavior Models: What Do We Know, What Should We Do? (1985)Situation awareness global assessment technique (SAGAT) (2003)Trust in Automation: Designing for Appropriate Reliance (2004)Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads (2022)Coefficient Alpha and the Internal Structure of Tests (1951)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)A Systematic Review of Human Factors Literature About Voice User Interfaces and Older Adults (2020)Evaluation of driver distraction from in-vehicle information systems: A simulator study of interaction modes and secondary tasks classes on eight production cars (2022)Input modality matters: A comparison of touch, speech, and gesture based in-vehicle interaction (2022)Generating random correlation matrices based on vines and extended onion method (2009)Highly Automated Driving, Secondary Task Performance, and Driver State (2012)Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures (2019)Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles (2023)Fuzzy sets (1965)How and why humans trust: A meta-analysis and elaborated model (2023)Systematic review of neurophysiological assessment techniques and metrics for mental workload evaluation in real-world settings (2025)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment (2024)Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions (2024)
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Cited by

  • 2021MENTAL WORKLOAD67 cited
  • 2019Evaluation of Gesture-Based In-Vehicle Interaction: User Experience and the Potential to Reduce Driver Distraction62 cited
  • 2023Real-time monitoring of driver distraction: State-of-the-art and future insights61 cited
  • 2014Multiple driver distractions: A systemic transport problem55 cited
  • 2015Frequency and impact of hands-free telephoning while driving – Results from naturalistic driving data49 cited
  • 2021A model for naturalistic glance behavior around Tesla Autopilot disengagements48 cited
  • 2016Drivers anticipate lead-vehicle conflicts during automated longitudinal control: Sensory cues capture driver attention and promote appropriate and timely responses41 cited

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