Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Schemas01:42

Schemas

12.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.5K
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

476
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
476
Design Example01:23

Design Example

642
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
642

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Isokinetic shoulder strength adaptations to weighted jump rope training in CrossFit athletes: A pre-post study.

Shoulder & elbow·2026
Same author

Prevalence of rearview cameras and association with backing crash odds: disparities by race/ethnicity and income.

Accident; analysis and prevention·2025
Same author

Injury risk curves for motorcycles in the United States.

Traffic injury prevention·2025
Same author

On-Road Evaluation of an Unobtrusive In-Vehicle Pressure-Based Driver Respiration Monitoring System.

Sensors (Basel, Switzerland)·2025
Same author

Evaluating risk factors associated with fatalities among powered two-wheeler crashes in the United States.

Traffic injury prevention·2025
Same author

Adaptations in the workplace as a labor inclusion strategy for people with physical disabilities: An integrative review.

Work (Reading, Mass.)·2025

Related Experiment Video

Updated: Apr 3, 2026

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

5.2K

Drivers' visual behavior when using handheld and hands-free cell phones.

Gregory M Fitch1, Paul R Bartholomew1, Richard J Hanowski1

  • 1Virginia Tech Transportation Institute, USA.

Journal of Safety Research
|September 26, 2015
PubMed
Summary

Driver distraction increases with handheld (HH), portable hands-free (PHF), and integrated hands-free (IHF) cell phone use. Visual-manual tasks on HH phones significantly increase eyes-off-road time more than PHF or IHF.

Keywords:
Driver distractionIntegrated cell phonesNaturalistic driving studyPortable aftermarket devicesVisual attention

More Related Videos

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

18.0K
Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

2.3K

Related Experiment Videos

Last Updated: Apr 3, 2026

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

5.2K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

18.0K
Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

2.3K

Area of Science:

  • Transportation Safety
  • Human-Computer Interaction
  • Cognitive Psychology

Background:

  • Driver distraction is a major safety concern.
  • Cell phone use while driving, encompassing handheld (HH), portable hands-free (PHF), and integrated hands-free (IHF) systems, presents various visual and cognitive demands.
  • Understanding the specific visual behavior impacts of different cell phone interaction types is crucial for policy development.

Purpose of the Study:

  • To investigate driver distraction by examining how HH, PHF, and IHF cell phone use affects drivers' visual behavior.
  • To quantify the total eyes-off-road time (TEORT) associated with different cell phone subtasks while driving.

Main Methods:

  • A naturalistic driving study involving 204 participants over approximately 31 days.
  • Video and sensor data collection to capture driving behavior and cell phone interactions.
  • Analysis of 1564 cell phone calls and 844 text messages, comparing TEORT during cell phone use against baseline driving periods.

Main Results:

  • Visual-manual subtasks on HH, PHF, and IHF phones significantly increased mean percent TEORT.
  • Conversing on HH phones significantly decreased TEORT, suggesting more frequent glances at the road.
  • No significant TEORT differences were observed for conversations on PHF or IHF phones.
  • Mean TEORT durations for visual-manual tasks were significantly longer for HH phones compared to PHF or IHF phones.

Conclusions:

  • The findings reinforce the need to distinguish between handheld and hands-free cell phone use in transportation distraction policies.
  • Different types of cell phone interactions (conversational vs. visual-manual) and device integration (HH vs. PHF vs. IHF) have distinct impacts on driver visual behavior.
  • This research provides empirical evidence to inform regulations and public awareness campaigns regarding cell phone use while driving.