Validation of the Static Load Test for Event Detection During Hands-Free Conversation

Objective. To see if visual event reaction times (RTs) during hands-free conversation conditions in the Enhanced Static Load Test (ESLT) can predict RTs in similar conditions in on-road driving. Methods. Brake reaction times to random center and side light events were measured while watching a driving video, attempting to keep a marker in the center of the lane with a steering wheel, answering the phone by pressing a button, and carrying on neutral or angry hands- free conversations in covert (silent) or overt mode on a hands-free phone device. Open-road tests were conducted in traffic for subjects with similar side and front light events, with foot reaction times measured while engaged in the same secondary tasks and conditions. Results. Mean RTs for the task segments in the lab were predictive of the mean RTs for the corresponding task segments in the on-road test (r = 0.90, df = 16, p

[1]  Mohamed Abdel-Aty,et al.  Validating a driving simulator using surrogate safety measures. , 2008, Accident; analysis and prevention.

[2]  Christopher D. Wickens,et al.  Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques , 2006, Hum. Factors.

[3]  Christopher Schreiner,et al.  Real‐World Personal Conversations Using a Hands‐Free Embedded Wireless Device While Driving: Effect on Airbag‐Deployment Crash Rates , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[4]  Li Hsieh,et al.  Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene: fMRI analysis and asynchrony model , 2009, Brain Research.

[5]  SM Bowyer,et al.  Language Processes during Overt and Covert Speech in a Simulated Driving Task , 2008 .

[6]  Georg Jahn,et al.  Peripheral detection as a workload measure in driving: Effects of traffic complexity and route guidance system use in a driving study , 2005 .

[7]  Louis Tijerina,et al.  Driver Workload Metrics Task 2 Final Report , 2006 .

[8]  Richard A Young.  Association Between Embedded Cellular Phone Calls and Vehicle Crashes Involving Airbag Deployment , 2017 .

[9]  Li Hsieh,et al.  Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene using MEG , 2009, Brain Research.

[10]  Lisbeth Harms,et al.  Peripheral detection as a measure of driver distraction. a study of memory-based versus system-based navigation in a built-up area , 2003 .

[11]  Xuru Ding,et al.  Road-to-Lab: Validation of the Static Load Test for Predicting On-Road Driving Performance While Using Advanced In-Vehicle Information and Communication Devices , 2017 .

[12]  Thomas A. Dingus,et al.  The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .

[13]  Marieke Hendrikje Martens,et al.  Measuring distraction: the Peripheral Detection Task , 2000 .

[14]  Linda Angell,et al.  The Dimensions of Driver Performance during Secondary Manual Tasks , 2005 .

[15]  Thomas A. Dingus,et al.  An Evaluation of Alternative Methods for Assessing Driver Workload in the Early Development of In-Vehicle Information Systems , 2002 .

[16]  Vince D. Calhoun,et al.  ASSESSMENT OF INTOXICATED DRIVING WITH A SIMULATOR : A PILOT VALIDATION STUDY WITH ON-ROAD DRIVING , 2001 .

[17]  Andy H. Lee,et al.  Assessing the driving performance of older adult drivers: on-road versus simulated driving. , 2003, Accident; analysis and prevention.

[18]  Johan Engström,et al.  Effects of visual and cognitive load in real and simulated motorway driving , 2005 .

[19]  Li Hsieh,et al.  MEG localization of cortex involved in attention processes during a driving task with conversation , 2007 .

[20]  Myra Blanco,et al.  Investigating the Effect of Performing Voice Recognition Tasks on the Detection of Forward and Peripheral Events , 2004 .

[21]  Evi Blana,et al.  DRIVING SIMULATOR VALIDATION STUDIES: A LITERATURE REVIEW , 1996 .