Effect of cellular telephone conversations and other potential interference on reaction time in a braking response Patrick Wesonga Louis Hironem.

Slides:



Advertisements
Similar presentations
1. Define the problem by OBSERVING.
Advertisements

Mobile Phones Presented by:. Mobile Phones Introduction How many mobile phones are in use What are their effects on driving? How does this change the.
4/4/2015Slide 1 SOLVING THE PROBLEM A one-sample t-test of a population mean requires that the variable be quantitative. A one-sample test of a population.
Multi-tasking on the Information Super Highway: Why Using a Cell Phone Can Make You Drive Like You’re Drunk David Strayer Department of Psychology RMPA:
Measuring Cognitive Distraction in the Vehicle Joel Cooper Precision Driving Research David Strayer University of Utah.
The Two Factor ANOVA © 2010 Pearson Prentice Hall. All rights reserved.
Risk Attitude Reversals in Drivers ’ Route Choice When Range of Travel Time Information is Provided Jin-Yong Sung Hamid Hussain.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Section 6-4 Sampling Distributions and Estimators Created by.
Example –A radio station manager wants to know if the amount of time his listeners spent listening to a radio per day is about the same every day of the.
1 Cell Phone Induced Perceptual Impairments During Simulated Driving David Strayer, Frank Drews, Robert Albert, and William Johnston Department of Psychology.
IE 486 Work Analysis & Design II Effect of cellular telephone conversations and other potential interference on reaction time in a braking response Esteban.
1 Instructor: Vincent Duffy, Ph.D. Associate Professor of IE Lab 1 – Part 1 Review - Lifelong Learning Fri. Feb. 2, 2007 IE 486 Work Analysis & Design.
1 Instructor: Vincent Duffy, Ph.D. Associate Professor of IE Lab 1 – Part 1 Review - Lifelong Learning Fri. Feb. 2, 2007 IE 486 Work Analysis & Design.
1 Lifelong Learning RIGARead Identify & Gather Analyze.
Today Concepts underlying inferential statistics
Effect of cellular telephone conversations and other potential interference on reaction time in a breaking response. [1] IE484 Lab Section 1 Jennifer Powell.
Chapter One: The Science of Psychology
Richard M. Jacobs, OSA, Ph.D.
Formulating an important research question Susan Furth, MD, PhD Welch Center for Prevention, Epidemiology and Clinical Research
A Driving Distraction – Mobile Phones. Using cell phones whilst driving: Is mentally demanding Increases reaction time to hazards Reduces driving field.
Chapter 12: Analysis of Variance
Chapter 4 Hypothesis Testing, Power, and Control: A Review of the Basics.
Statistical Hypothesis Testing. Suppose you have a random variable X ( number of vehicle accidents in a year, stock market returns, time between el nino.
1 Chapter 1: Introduction to Design of Experiments 1.1 Review of Basic Statistical Concepts (Optional) 1.2 Introduction to Experimental Design 1.3 Completely.
1 Chapter 15: Nonparametric Statistics Section 15.1 How Can We Compare Two Groups by Ranking?
Measuring Cognitive Distraction in the Vehicle David Strayer University of Utah.
AP STATISTICS “Do Cell Phones Distract Drivers?”.
Effects of practice, age, and task demands, on interference from a phone task while driving Author: David Shinar, Noam Tractinsky, Richard Compton Accident.
The Process of Conducting Research. What is a theory? a set of general principles that explains the how and why of phenomena. a set of general principles.
Research Methods for Counselors COUN 597 University of Saint Joseph Class # 6 Copyright © 2015 by R. Halstead. All rights reserved.
Cognitive demands of hands-free- phone conversation while driving Professor : Liu Student: Ruby.
Chapter One: The Science of Psychology. Ways to Acquire Knowledge Tenacity Tenacity Refers to the continued presentation of a particular bit of information.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Section 9-2 Inferences About Two Proportions.
Agresti/Franklin Statistics, 1 of 111 Chapter 9 Comparing Two Groups Learn …. How to Compare Two Groups On a Categorical or Quantitative Outcome Using.
Measuring Cognitive Distraction in the Vehicle David Strayer University of Utah.
MS 305 Recitation 11 Output Analysis I
Chapter 16 Conducting & Reading Research Baumgartner et al Chapter 16 Developing the Research Proposal.
Chapter 14 Nonparametric Statistics. 2 Introduction: Distribution-Free Tests Distribution-free tests – statistical tests that don’t rely on assumptions.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Agresti/Franklin Statistics, 1 of 106  Section 9.4 How Can We Analyze Dependent Samples?
Determining the Author’s Purpose 7 th Grade Language Arts
The Multi-Tasking Driver: Risks to Public Safety David Strayer Department of Psychology Center for the Prevention of Distracted Driving May 5,2010.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 10 Comparing Two Groups Section 10.4 Analyzing Dependent Samples.
Accident Analysis and Prevention 31 (1999) 617–623 Dave Lamble *, Tatu Kauranen, Matti Laakso, Heikki Summala Cognitive load and detection thresholds in.
Educational Research Chapter 13 Inferential Statistics Gay, Mills, and Airasian 10 th Edition.
Experimental Psychology PSY 433 Appendix B Statistics.
Statistical Inference for the Mean Objectives: (Chapter 9, DeCoursey) -To understand the terms: Null Hypothesis, Rejection Region, and Type I and II errors.
Ch 1: Science Inquiry & Processing Vocab 1.Accuracy 2.Bias 3.Conclusion 4.Control Group 5.Data 6.Dependent Variable 7.Direct Observation 8.Experimental.
Academic Research Academic Research Dr Kishor Bhanushali M
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 14 Comparing Groups: Analysis of Variance Methods Section 14.1 One-Way ANOVA: Comparing.
SAFEWARE System Safety and Computers Chap18:Verification of Safety Author : Nancy G. Leveson University of Washington 1995 by Addison-Wesley Publishing.
Driver Distraction: A view from the simulator Frank Drews & David Strayer.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Day Four. What standards were addressed yesterday? MELT wiki: melt-institute-resources.wikispaces.commelt-institute-resources.wikispaces.com.
Activity 82 Major Concepts Friction is a force that will cause changes in the speed of an object’s motion. The motion of an object can be described by.
The Process of Conducting Research. What is a theory? a set of general principles that explains the how and why of phenomena. Theories are not directly.
The Psychologist as Detective, 4e by Smith/Davis © 2007 Pearson Education Chapter One: The Science of Psychology.
ENGLISH COMPOSITION FIVE PARAGRAPH ESSAY STRUCTURE.
AP Stat 2007 Free Response. 1. A. Roughly speaking, the standard deviation (s = 2.141) measures a “typical” distance between the individual discoloration.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Cell Phones and Driving
How to write a review of literature
Lecture Slides Elementary Statistics Twelfth Edition
#SafeDriver ROAD SAFETY, A MAJOR PRIORITY FOR TOTAL “I Fasten MY seat belt before starting and I DON’T USE My phone ANYMORE” Awareness Meetings,
Distracted Driver Distractions now join
Cell Phones use in Vehicles - Are They a Safety Hazard?
Hypothesis Testing: The Difference Between Two Population Means
Lecture Slides Elementary Statistics Twelfth Edition
Cell Phones & Distracted Driving
Presentation transcript:

Effect of cellular telephone conversations and other potential interference on reaction time in a braking response Patrick Wesonga Louis Hironem

Research Ideas/Question Confirm that the use of cellular telephones generates capacity (attention) interference, Confirm that the use of cellular telephones generates capacity (attention) interference, Hypothesis that there is no safety advantage to using hands-free cell phones Hypothesis that there is no safety advantage to using hands-free cell phones see how interference generated by cellular phone use compares to other tasks (listening to radio, etc) see how interference generated by cellular phone use compares to other tasks (listening to radio, etc)

Background Support 13 published studies that the author uses as a basis for his hypothesis 13 published studies that the author uses as a basis for his hypothesis Most of these reports contend that phone use is a contributing factor to many accidents Most of these reports contend that phone use is a contributing factor to many accidents Many solely focused on physical operation of a phone and not the conversation itself Many solely focused on physical operation of a phone and not the conversation itself Introduces concepts of capacity interference as well as structural interference Introduces concepts of capacity interference as well as structural interference

Theoretical Basis for Analyzing Question/Hypothesis The use of phone generates capacity inference; interference due to limitations in some central capacity (attention) The use of phone generates capacity inference; interference due to limitations in some central capacity (attention)

Applicability/Practical Contributions Gives lawmakers more pertinent information to craft legislation Gives lawmakers more pertinent information to craft legislation Prevent accidents by providing knowledge about the negative effects of capacity interference on braking response Prevent accidents by providing knowledge about the negative effects of capacity interference on braking response

Theoretical Contribution Support findings that phone use causes poorer reaction time Support findings that phone use causes poorer reaction time Support the findings that reaction time in braking slowed by paced conversations Support the findings that reaction time in braking slowed by paced conversations Provide evidence that using hands-free and hand-held phones caused significant, equivalent declines in braking performance Provide evidence that using hands-free and hand-held phones caused significant, equivalent declines in braking performance

Appropriate Methodologies Variable used for this experiment is the reaction time in braking Variable used for this experiment is the reaction time in braking Measured time it takes between the activation of red lamp and the initial movement of the foot from the accelerator Measured time it takes between the activation of red lamp and the initial movement of the foot from the accelerator Statistical analysis is conducted to test the hypotheses Statistical analysis is conducted to test the hypotheses Random 10-20s delay for the activation of the red lamp eliminates the effect of anticipation and reduces the error involved in the experiment Random 10-20s delay for the activation of the red lamp eliminates the effect of anticipation and reduces the error involved in the experiment Conversations embedded into the experiment to simulate real life conversations with a passenger or on a cell phone Conversations embedded into the experiment to simulate real life conversations with a passenger or on a cell phone

Statistical Analyses and Assumptions ANOVA and pair-wise comparisons using Tukey done to compare the differences in means between all the conditions (A-E) ANOVA and pair-wise comparisons using Tukey done to compare the differences in means between all the conditions (A-E) Assume that braking response is an integral part of safe driving Assume that braking response is an integral part of safe driving

Results Listening to music while driving has little effect on the braking response Listening to music while driving has little effect on the braking response Conversations and phone use equally impair the braking response of the driver Conversations and phone use equally impair the braking response of the driver Radio cause minimal to no distraction Radio cause minimal to no distraction

Conclusions Drawn Yes, they are since they are consistent with the findings of previous papers and analysis Yes, they are since they are consistent with the findings of previous papers and analysis It makes sense that deviating from the focus of driving will impair the driver It makes sense that deviating from the focus of driving will impair the driver

Future Work/Research Directions Use a motion simulator as opposed to a stationary one Use a motion simulator as opposed to a stationary one Test other factors besides braking response Test other factors besides braking response The study that distraction due to the use of phones is more than other secondary tasks The study that distraction due to the use of phones is more than other secondary tasks