LOGO D.E. Haigney a,b,*, R.G. Taylor c, S.J. Westerman c Transportation Research Part F 3 (2000) 113±121 Concurrent mobile (cellular) phone use and driving.

Slides:



Advertisements
Similar presentations
Is it time to revisit the problem young driver? Mrs Bridie Scott-Parker (PhD candidate-under-examination) 1.
Advertisements

LOGO Relative effects of age and compromised vision on driving performance Professor: Liu Student: Ruby.
Chapter #5 Study Guide Answers.
OLDER AND YOUNGER DRIVER PERFORMANCE AT COMPLEX INTERSECTIONS: IMPLICATIONS FOR USING PERCEPTION- RESPONSE TIME AND DRIVING SIMULATION Professor: Liu Student:
First Annual Virginia Distracted Driving Summit David S. Zuby Chief Research Officer September 19, 2013 Richmond, Virginia.
Effects of uncertainty, transmission type, driver age and gender on brake reaction and movement time Professor: Liu Students: Ruby.
Mobile phone use amongst New Zealand drivers Mark J.M. Sullman a,*, Peter H. Baas b Transportation Research Part F 學生 : 莊靖玟.
International Journal of Industrial Ergonomics 35 (2005) 939–953 Situation awareness and workload in driving while using adaptive cruise control and a.
Mobile Phone Use in a Driving Simulation Task: Differences in Eye Movements Stacy Balk, Kristin Moore, Will Spearman, & Jay Steele.
IE 486 Work Analysis & Design II Effect of cellular telephone conversations and other potential interference on reaction time in a braking response Esteban.
Field evaluation of an advanced brake warning system David Shinar Human Factors 1995 Presented by: Derrick Smets.
Effect of cellular telephone conversations and other potential interference on reaction time in a breaking response. [1] IE484 Lab Section 1 Jennifer Powell.
lesson 3.4 DRIVING WITH A MANUAL TRANSMISSION
The Effects of Text Messaging On the Driving Performance of Young Novice Drivers MUARC: Kristie Young, Simon Hosking & Michael Regan NRMA Motoring & Services:
Transportation Tuesday TRANSPORTATION TUESDAY SAFE DRIVERS FEWER ACCIDENTS SAFE DRIVERS FEWER ACCIDENTS GOOD DRIVING HABITS ENABLES DRIVERS TO REACT CORRECTLY.
Texting While Driving -- Another Kind of Impairment.
In 2008, nearly 6,000 people died and more than 500,000 were injured in motor vehicle crashes (MVCs) resulting from distracted driving involving the use.
Driver personality characteristics related to self-reported accident involvement and mobile phone use while driving 學生:莊靖玟.
Driver Distraction: Results from Naturalistic Teenage Driving Studies Charlie Klauer, Ph. D. Research Scientist Group Lead: Teen Risk and Injury Prevention.
LOGO Preface to the Special Section on Driver Distraction Professor: Liu Student: Ruby.
Evaluating Effectiveness of Partitioning Complex Visual Displays on In-Vehicle Glance Behavior Momoha Takahashi 1,4, Ceyda D ü ndar 2,4, Yusuke Yamani.
Effects of practice, age, and task demands, on interference from a phone task while driving Author: David Shinar, Noam Tractinsky, Richard Compton Accident.
LOGO Jack Nasar a, ∗, Peter Hecht b, Richard Wener c Accident Analysis and Prevention 40 (2008) 69–75 Mobile telephones, distracted attention, and pedestrian.
Cognitive demands of hands-free- phone conversation while driving Professor : Liu Student: Ruby.
LOGO Factors influencing the use of cellular (mobile) phone during driving and hazards while using it Leena Pöysti, Sirpa Rajalin, Heikki Summala Accident.
LOGO Imperfect in- vehicle collision avoidance warning systems can aid distracted drivers Masha Maltz, David Shinar Transportation Research Part F 10 (2007)
Engrossed in conversation: The impact of cell phones on simulated driving performance Kristen E. Beede, Steven J. Kass ∗ Accident Analysis and Prevention.
Company Logo Add Your Company Slogan Automatic Control of Variable Message Signs in Aalborg 學生. 莊靖玟.
Company Logo Add Your Company Slogan On the highway measures of driver glance behavior with an example automobile navigation system Dean P. Chiang*, Aaron.
Ayanori Sato 1), Nicholas Bowler 2) 1 Railway Technical Research Institute 2 RSSB 1.
Company Logo Add Your Company Slogan Pirkko Rama *, Risto Kulmala Transportation Research Part F 3 (2000) 85±94 學生. 莊靖玟 Effects of variable message signs.
Are bad drivers more impaired by alcohol? Sober driving precision predicts impairment from alcohol in a simulated driving task 學生:董瑩蟬.
1 Driver Distractions: The Ticking Time Bomb Lee Whitehead Director, DDC State Program Administration September 2007.
1 Challenge the future Longitudinal Driving Behavior in case of Emergency situations: An Empirically Underpinned Theoretical Framework Dr. R.(Raymond)
Examining the stability of transport behaviours for high-risk early adolescents 20th International Council on Alcohol, Drugs and Traffic Safety Conference.
1 Research methods and models of driver behavior studies.
Accident Analysis and Prevention 31 (1999) 617–623 Dave Lamble *, Tatu Kauranen, Matti Laakso, Heikki Summala Cognitive load and detection thresholds in.
The effect of peer feedback for blogging on college Advisor: Min-Puu Chen Presenter: Pei- Chi Lu Xie, Y., Ke, F., & Sharma, P. (2008). The effect of feedback.
Misunderstanding of right-of-way rules at various pedestrian crossing types: Observational study and survey 學生:董瑩蟬.
Effect of a concurrent auditory task on visual search performance in a driving-related image-flicker task Professor: Liu Student: Ruby.
Comparison of manual vs. speech-based interaction with in-vehicle information systems Driving Behavior Simulation Lab Jannette Maciej ∗, Mark Vollrath.
Comparing safety climate factors as predictors of work- related driving behavior Safety Science 37 (2006) Andrew R. Wills, Barry Watson, Herbert.
The effects of working memory load on negative priming in an N-back task Ewald Neumann Brain-Inspired Cognitive Systems (BICS) July, 2010.
Driving me Crazy: Predicting State Driver Stress in the Roadway Environment Christine M. Wickens York University.
The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections 學生:董瑩蟬.
Drivers’ speed behaviour at a zebra crossing: a case study 學生:董瑩蟬.
Tova Rosenbloom Journal of Safety Research 37 (2006) 207 – 212 Driving performance while using cell phones: An observational study 學生. 莊靖玟.
Section 2 Day 2 Virginia Driver Responsibilities: Preparing to Operate a Vehicle.
Mobile phone use while driving in a sample of Spanish university workers 學生 : 莊靖玟.
Tim Horberryb, Cathy Bubnicha, Laurence Hartleya,*, Dave Lamblea Drivers' use of hand-held mobile phones in Western Australia 學生. 莊靖玟.
LOGO Ronald R. Mourant *, Najla Ahmad, Beverly K. Jaeger, Yingzi Lin Displays 28 (2007) 145–149 Optic flow and geometric field of view in a driving simulator.
Company LOGO Overview of older user safety statistics and research Professor: Liu Student: Ruby.
LOGO Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption Professor: Liu Student: Ruby.
Putting it All Together and Practice Teaching
Chapter 9 -Hypothesis Testing
Acculturation and coping strategies Chinese students experiences in an Australian tertiary education discourse Thao Lê Liwei Liu.
Parental Status and Emergency Preparedness:
Parts of an Academic Paper
Sunu Bagaskara Universitas YARSI
Chapter 4 PRESENTATION AND ANALYSIS OF DATA
Effects of Oncoming Vehicle Size on Overtaking Judgments
Statistics for Business and Economics (13e)
2UNIVERSITY OF WATERLOO
AQA A 2014.
Cell Phones use in Vehicles - Are They a Safety Hazard?
Putting it All Together and Practice Teaching
lesson 3.4 DRIVING WITH A MANUAL TRANSMISSION
Safety considerations on Emergency Manoeuver
Effects of an Aftermarket Crash Avoidance System on Warning Rates and Driver Acceptance in Urban and Rural Environments ADTSEA 2019 Burlington VT July.
Presentation transcript:

LOGO D.E. Haigney a,b,*, R.G. Taylor c, S.J. Westerman c Transportation Research Part F 3 (2000) 113±121 Concurrent mobile (cellular) phone use and driving performance: task demand characteristics and compensatory processes 學生. 莊靖玟

Company Logo Purpose  This paper reports one such simulator study in which driving performance with and without concurrent mobile phone use was compared.

Company Logo Reference  This is consistent with the finding that, in this circumstance, both heart rate and self-report workload increase. (Fairclough, Ashby, Ross, & Parkes, 1991)

Company Logo Reference  The combined level of demand associated with the mobile phone task and the driving task was not sufficient to overload the system. (Briem,1995 & Hedman,1995)

Company Logo Reference  Several studies have found that drivers reduce speed when using a mobile phone. (Alm & Nilsson, 1990; Brookhuis, De Vries, & De Waard, 1991; Fairclough et al.,1991).

Company Logo Reference  A strong version of this hypothesis might refer to a process of risk homeostasis. (see Wilde, 1982, 1988; although also see Adams, 1988, for counter- arguments)  Differences in driver workload have been noted between transmission types. (Zeier, 1979)

Company Logo Reference  Very often studies of mobile phone use and driving performance have failed to consider task demand characteristics. (Royal Society for the Prevention of Accidents, 1997a)

Company Logo Method  Thirty participants (13 male, 17 female)  Mean age : years.  Each had held a UK manual transmission driving license for private and light goods vehicles (PLG) for at least one year.

Company Logo Method  63% of the sample had previous experience of using a mobile phone.  13% of the sample had experience of using a hands-free phone.  20% of the sample used a mobile phone while driving with a frequency of once per week or greater.

Company Logo Method  Aston Driving Simulator (ADS).  A 21in. Monitor.  A Nokia 1611 GSM.  A Pulse Coach-3.

Company Logo Method  Dependent measures: * mean speed, * standard deviation of accelerator pedal travel, * brake pedal travel, * number of gear changes were logged every 0.5 s. * number of overtakes, * number of off-road excursions (OFFS), * number of collisions

Company Logo Method  The task used to simulate a mobile phone conversation was developed from the `grammatical reasoning test' detailed by Baddeley (1968).  The task used previously to replicate the demands of a conversation held over a mobile phone whilst driving (Brown et al., 1969).

Company Logo Method  Participants were presented with five stimulus letters, followed by a statement regarding the relative ordering of two pseudo-randomly selected letters.  Participants were required to indicate whether this statement was true or false.

Company Logo Method  Participants initially completed a short questionnaire.  Participants' resting heart rate was assessed. This was used as a baseline.  A 150 s practice period then followed in which participants were allowed to familiarise themselves with the simulator.

Company Logo Method  Participants then completed four simulated drives: * manual transmission setup × 2 * automatic transmission setup × 2  Each simulated drive comprised three 150 s periods: * pre-call * during call * post-call  Phone type: * hand-held mobile phone * hands-free mobile phone

Company Logo Results

Company Logo Results

Company Logo Results  2 (manual vs automatic transmission) × 2 (PHONE).  This only applied to the `during‘ phone call time period.  There were no significant main or interactive effects.

Company Logo Discussion  The results of this study also supported the hypothesis that drivers engage in compensatory behaviour and attempt to reduce workload when using a mobile phone to enable perceived required safety margins to be achieved.  Consistent with the findings of previous studies (Alm & Nilsson, 1990; Brookhuis et al., 1991; Fairclough et al., 1991).

Company Logo Conclusions  The results of the reported study suggest that using a mobile phone while driving may have implications for safety margins that will not be immediately apparent.  It can be predicted that this will render drivers less able to cope with emergency situations or other abrupt increases in driving task demands.  Negative effects were particularly apparent when participants were using a hand-held phone unit.  It is recommended that drivers do not engage in concurrent phone use.