The Impact of Internal Distraction on Driver Visual Behavior
Authors: Harbluk, J. L., Noy, Y. I. (Transport Canada, Ottawa, ON, Canada), & Eizenman, M. (University of Toronto, Toronto, ON, Canada).
View Entire PaperThe Influence of the Use of Mobile Phones on Driver Situation Awareness
Authors: Parkes, A. (Transport Research Laboratory, Crowthorne, England) & Hooijmeijer, V. (Verkeersadviesburo Diepens en Okkema, Eindhoven, The Netherlands).
Issues in the Evaluation of Driver Distraction Associated with In-Vehicle Information and Telecommunications Systems
Authors: Tijerina, L. (Transportation Research Center Inc.).
Individual Differences and In-Vehicle Distraction While Driving: A Test Track Study and Psychometric Evaluation
Authors: Tijerina, L., Parmer, E. B. (Transportation Research Center Inc.), & Goodman, M. J. (National Highway Traffic Safety Administration).
Association Between Cellular-Telephone Calls and Motor Vehicle Collisions
Authors: Redelmeier, D. A. & Tibshirani, R. J..
Measuring Driver Visual Distraction with a Peripheral Detection Task
Authors: Olsson, S. & Burns, P. C. (Department of Education & Psychology, Linkoping University, Sweden; Volvo Technological Development Corporation, Gothenburg, Sweden).
A Technical Platform for Driver Inattention Research
Authors: Victor, T. (Volvo Technological Development Corporation, Human Systems Integration, Göteborg, Sweden.) & The Graduate School for Human Machine Interaction, (Division of Industrial Ergonomics Dept of Mechanical Engineering Linköping Institute of Technology, Sweden).
The Development of a Design Evaluation Tool and Model of Attention Demand
Authors: Hankey, J. M., Dingus, T. A., Hanowski, R. J., Wierwille, W. W. (Virginia Tech Transportation Institute), Monk, C. A. (Science Applications Internationl Corporation), & Moyer, M. J. (Federal Highway Administration).
Divided Attention Ability of Young and Older Drivers
Authors: Mourant, R. R., Tsai, F., Al-Shihabi, T., & Jaeger, B. K. (Virtual Environments Laboratory, Department of Mechanical, Industrial and Manufacturing Engineering, Northeastern University).
Driver Workload Assessment of Route Guidance System Destination Entry While Driving: A Test Track Study
Authors: Tijerina, L., Parmer, E. B. (Transportation Research Center Inc., East Liberty, OH), & Goodman, M. J. (National Highway Traffic Safety Administration, NHTSA, Washington, D.C.).
Speech-based Interaction with In-vehicle Computers: The Effect of Speech-based E-mail on Drivers’ Attention to the Roadway
Authors: Lee, J. D., Caven, B., Haake, S., & Brown, T. L. (Cognitive Systems Laboratory, University of Iowa, Department of Industrial Engineering, Iowa City, Iowa).
Integration of Driver In-Vehicle ITS Information
Authors: Kantowitz, B. H. (Battelle Human Factors Transportation Center, Seattle, Washington) & Moyer, M. J. (Federal Highway Administration, Turner Fairbank Highway Research Center, McLean, Virginia).
E-Distraction: The Challenges for Safe and Usable Internet Services in Vehicles
Authors: Burns, P.C. (Volvo Technological Development Corporation, Gothenburg, Sweden) & Lansdown, T.C. (Transportation Research Laboratory, Crowthorne, Berkshire, U.K.).
Development of Safety Principles for In-Vehicle Information and Communication Systems
Authors: Stevens, A. (Transportation Research Laboratory, Crowthrone Berkshire, U.K.) & Rai, G. (Department of Environment, Transport and the Regions, London, U.K.).
Can Collision Warning Systems Mitigate Distraction Due to In-Vehicle Devices?
Authors: John D. Lee, Michelle L. Ries, Daniel V. McGehee, and Timothy L. Brown (Cognitive Systems Laboratory, Department of Industrial Engineering, University of Iowa) and Michael Perel (National Highway Traffic Safety Administration)
Abstract
Rear-end collisions account for approximately 28% of automotive crashes. Because driver inattention is a contributing factor in more than 60% of these collisions, rear-end collision avoidance systems (RECAS) offer a promising approach to reduce crashes and save lives. A RECAS is a device that uses electronic sensors (e.g. radar) to detect the motion of a lead vehicle, compute whether a collision is likely, and trigger an alarm to alert the driver to the impending collision. This paper presents two experiments that use a high-fidelity driving simulator to compare how well drivers can avoid crashes with and without the aid of a RECAS. The first experiment examined how variations in warning algorithm parameters affect the ability of a RECAS to aid distracted drivers in avoiding an imminent collision. The primary comparison was between algorithms that triggered an early versus late warning. Drivers were distracted with a visually demanding number reading task. The results show that an early warning helps drivers react more quickly and avoid more collisions compared to a late warning or no warning. The second experiment examined the ability of the RECAS to help non-distracted drivers avoid an imminent collision. The results show that the RECAS benefits drivers even when they are not distracted. The magnitude and type of this distraction is compared with cognitive distractions due to speech-based interactions. Potential opportunities and challenges for RECAS to mitigate the effect of in-vehicle distractions are also discussed.
Proposed Driver Workload Metrics and Methods Project
Authors: Crash Avoidance Metrics Partnership (CAMP)
In-Vehicle Communication and Driving: An Attempt to Overcome their Interference
Authors: Mark Vollrath and Ingo Totzke (Center for Traffic Sciences, IZVW, University of Wuerzburg, Germany)
Measuring distraction: the Peripheral Detection Task
Authors: M.H. Martens & W. van Winsum (TNO Human Factors, Soesterberg, The Netherlands)
On the Need for Driver Attention Support Systems
Authors: Victor , T. (Volvo Technological Development Corporation)
NHTSA Driver Distraction Research: Past, Present, and Future
Authors: Thomas A. Ranney (Transportation Research Center Inc.), Elizabeth Mazzae and Riley Garrott (NHTSA, Vehicle Test and Research Center), and Michael J. Goodman (NHTSA, Research and Development)
Driver distraction in the European statement of principles on in-vehicle HMI: a comment
Authors: Wiel Janssen (TNO Human Factors, The Netherlands)