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The effects of a driver assistance system for safe speed and safe distance – A real-life field study
2 references·10 citing·43 second hop
The effects of a driver assistance system for safe speed and safe distance – A real-life field study (2010)The effects of a driver assistance system…A simple procedure for the assessment of acceptance of advanced transport telematics (1997)A simple procedure for the as…Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary? In A (1989)Traditional and raw task load…Modeling User Acceptance of In-Vehicle Applications for Safer Road Environment (2022)Modeling User Acceptance of I…Driver lane change intention recognition in the connected environment (2021)Driver lane change intention …Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations (2020)Is an informed driver a bette…A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior (2018)A field operational test in C…The Effect of Haptic Support Systems on Driver Performance: A Literature Survey (2015)The Effect of Haptic Support …Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance (2015)Real-time driver drowsiness f…Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression (2015)Field operational test of adv…Automated Driving: Human-Factors Issues and Design Solutions (2012)Automated Driving: Human-Fact…Evaluation of the effect of cooperative infrastructure-to-vehicle systems on driver behavior (2011)Evaluation of the effect of c…Supporting Drivers in Keeping Safe Speed and Safe Distance: The SASPENCE Subproject Within the European Framework Programme 6 Integrating Project PReVENT (2010)Supporting Drivers in Keeping…User Acceptance of Information Technology: Toward A Unified View1 (2003)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Driver distraction and driver inattention: Definition, relationship and taxonomy (2011)Carrot and stick: A game-theoretic approach to motivate cooperative driving through social interaction (2018)Riding personal mobility vehicles on the road: an analysis of the intentions of Chinese users (2019)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)A model for types and levels of human interaction with automation (2000)Multiple Resources and Mental Workload (2008)Human Factors Challenges in Unmanned Ship Operations – Insights from Other Domains (2015)The Interaction Between Highly Automated Driving and the Development of Drowsiness (2015)Transitioning to manual driving requires additional time after automation deactivation (2018)Subjective and Objective Sleepiness in the Active Individual (1990)Sleep related vehicle accidents (1995)The link between fatigue and safety (2010)Survey and Synthesis of State of the Art in Driver Monitoring (2021)A Systematic Survey of Driving Fatigue Monitoring (2022)PERCLOS-based technologies for detecting drowsiness: current evidence and future directions (2023)The Measurement of Meaning (1957)Extending the Technology Acceptance Model to assess automation (2011)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)Human factors in intelligent transportation systems (1998)On the human control of vehicles: an experimental study of acceleration (2013)The H-Metaphor as a Guideline for Vehicle Automation and Interaction (2013)Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems (2014)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)The Effect of a Haptic Guidance Steering System on Fatigue-Related Driver Behavior (2017)Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions (2018)The Use of Haptic and Tactile Information in the Car to Improve Driving Safety: A Review of Current Technologies (2018)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Visual attention while driving: sequences of eye fixations made by experienced and novice drivers (2003)Driver experience and cognitive workload in different traffic environments (2006)Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving (2019)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. 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this work references cited by second hop

References

  • 1997A simple procedure for the assessment of acceptance of advanced transport telematics867 cited
  • 1989Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary? In A339 cited

Cited by

  • 2012Automated Driving: Human-Factors Issues and Design Solutions145 cited
  • 2015The Effect of Haptic Support Systems on Driver Performance: A Literature Survey133 cited
  • 2010Supporting Drivers in Keeping Safe Speed and Safe Distance: The SASPENCE Subproject Within the European Framework Programme 6 Integrating Project PReVENT98 cited
  • 2018A field operational test in China: Exploring the effect of an advanced driver assistance system on driving performance and braking behavior93 cited
  • 2015Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance92 cited
  • 2011Evaluation of the effect of cooperative infrastructure-to-vehicle systems on driver behavior85 cited
  • 2015Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression75 cited
  • 2020Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations73 cited
  • 2021Driver lane change intention recognition in the connected environment66 cited
  • 2022Modeling User Acceptance of In-Vehicle Applications for Safer Road Environment8 cited

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