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)
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)
Abstract
The possibilities for measuring workload or driver distraction by means of the Peripheral Detection Task during driving with in-vehicle equipment were investigated in a driving simulator experiment. The results show that the Peripheral Detection Task is a very sensitive method of measuring peaks in workload, induced by either a critical scenario or messages provided by a driver support system. The more demanding the task, the more cues will be missed and the longer the response times to the Peripheral Detection Task. Also, the experiment showed that the hypothesis that PDT measures the width of the functional field of view (perceptual tunnelling) is not supported. The results favour the ‘cognitive tunnelling’ hypothesis. This is consistent with the hypothesis that the PDT measures the (cognitive) selectivity of attention.
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)