Exploring the Relationship between False Alarms and Driver Acceptance of a Pedestrian Alert System during Simulated Driving
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[1] Kip Smith,et al. An Empirical Method for Quantifying Drivers’ Level of Acceptance of Alerts Issued by Automotive Active Safety Systems , 2018, Driver Acceptance of New Technology.
[2] B. Schiele,et al. How Far are We from Solving Pedestrian Detection? , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] C. G. Keller,et al. Will the Pedestrian Cross? A Study on Pedestrian Path Prediction , 2014, IEEE Transactions on Intelligent Transportation Systems.
[4] Wassim G Najm,et al. Target Crashes and Safety Benefits Estimation Methodology for Pedestrian Crash Avoidance/Mitigation Systems , 2014 .
[5] R. Happee,et al. Automated Driving: Human-Factors Issues and Design Solutions , 2012 .
[6] Kip Smith,et al. Assessing Contextual Factors That Influence Acceptance of Pedestrian Alerts by a Night Vision System , 2012, Hum. Factors.
[7] Linda Ng Boyle,et al. Extending the Technology Acceptance Model to assess automation , 2011, Cognition, Technology & Work.
[8] Ho Gi Jung,et al. A New Approach to Urban Pedestrian Detection for Automatic Braking , 2009, IEEE Transactions on Intelligent Transportation Systems.
[9] Carolina Burnier,et al. Severity of injury resulting from pedestrian-vehicle crashes: What can we learn from examining the built environment? , 2009 .
[10] T. Sheridan. Risk, Human Error, and System Resilience: Fundamental Ideas , 2008, Hum. Factors.
[11] Ann M Dellinger,et al. Motor vehicle crash injury rates by mode of travel, United States: using exposure-based methods to quantify differences. , 2007, American journal of epidemiology.
[12] John Richardson,et al. Alarm timing, trust and driver expectation for forward collision warning systems. , 2006, Applied ergonomics.
[13] John L. Campbell,et al. Integrated Vehicle-Based Safety System Heavy Truck Driver Vehicle Interface (DVI) Literature Review , 2006 .
[14] John D. Lee,et al. Trust in Automation: Designing for Appropriate Reliance , 2004, Hum. Factors.
[15] Daniel V. McGehee,et al. Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator , 2002, Hum. Factors.
[16] Raja Parasuraman,et al. Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.
[17] J. B. Brooke,et al. SUS: A 'Quick and Dirty' Usability Scale , 1996 .
[18] Lisanne Bainbridge,et al. Ironies of automation , 1982, Autom..
[19] C. Dolea,et al. World Health Organization , 1949, International Organization.
[20] Lotta Jakobsson,et al. Pedestrians interacting with a passenger car; A study of real world accidents , 2011 .
[21] Emeli Adell,et al. Driver experience and acceptance of driver support systems: a case of speed adaptation , 2009 .
[22] J. Schade,et al. Reactance or acceptance? Reactions towards the introduction of road pricing , 2007 .
[23] Dot Hs,et al. Crash Warning System Interfaces: Human Factors Insights and Lessons Learned , 2007 .
[24] R Risser,et al. Intelligent transport systems and services - chances and risks , 2005 .
[25] D. Leblanc,et al. DEVELOPMENT AND VALIDATION OF FUNCTIONAL DEFINITIONS AND EVALUATION PROCEDURES FOR COLLISION WARNING/AVOIDANCE SYSTEMS , 1999 .
[26] Barry H. Kantowitz,et al. PERCEPTUAL AND COGNITIVE ASPECTS OF INTELLIGENT TRANSPORTATION SYSTEMS , 1998 .