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

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.
Design Example01:23

Design Example

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...
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
Cellular Injury II: Classification01:21

Cellular Injury II: Classification

Cellular injury is any process that disrupts a cell’s ability to maintain homeostasis, leading to structural or functional changes. It is broadly classified based on etiology (cause) and mechanism of damage.Classification by EtiologyCellular injury may result from several causes. Hypoxic injury happens due to reduced oxygen delivery, most commonly from inadequate blood supply, such as arterial obstruction; for example, coronary artery thrombosis can cause myocardial infarction. Chemical injury...
Cellular Injury IlI: Cellular Death01:11

Cellular Injury IlI: Cellular Death

Cell death is the irreversible loss of cellular structure and function, representing the final stage of severe injury. It plays a key role in both normal physiology and disease.Types of Cell DeathThe two main types are necrosis and apoptosis, though others like necroptosis and pyroptosis also exist.Necrosis:Necrosis is an unregulated form of cell death caused by severe injury such as trauma, toxins, or ischemia. It is characterized by cell swelling, membrane loss, rupture, and leakage of...
Cellular Injury IV: Necrosis01:16

Cellular Injury IV: Necrosis

Necrosis is a form of irreversible cell death caused by severe injury such as ischemia, toxins, or trauma. Unlike programmed cell death, it is an uncontrolled, pathological process that typically provokes inflammation in surrounding tissues.Pathophysiologic ChangesNecrosis begins when cells sustain critical damage, leading to swelling of organelles, particularly mitochondria, and rapid ATP depletion. As energy levels decline, membrane ion pumps fail, leading to calcium influx and eventually,...

You might also read

Related Articles

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

Sort by
Same author

Enhancing Enrollment and Adherence in Long-Term Wearable Research on Dementia: Qualitative Systematic Review and Meta-Synthesis.

JMIR aging·2025
Same author

The Longitudinal Association of Physical Function and Frailty on Driving Strategic Self-Regulation Among Older Adults.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2025
Same author

A mixed-methods examination of fixed-object crashes among electric utility company fleet vehicles.

Journal of safety research·2025
Same author

Factors influencing behavioral intentions to use conditionally automated vehicles.

Journal of safety research·2025
Same author

It's Not Too Late: Physical and Social Activity Slow Cognitive Decline in Those Living With Mild Cognitive Impairment.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2025
Same author

Prevalence of Depression in Older Adults and the Potential Protective Role of Volunteering: Findings From the LongROAD Study.

Journal of the American Geriatrics Society·2025
Same journal

Bicyclist overtaking in naturalistic riding data: Speed, clearance, and implications for injury risk.

Traffic injury prevention·2026
Same journal

Study of adaptation parameters of merging zones for freeway interchange ramps considering CAV & AV mixed traffic environments.

Traffic injury prevention·2026
Same journal

Behavioral determinants of motorcyclist personal protective equipment (PPE) use in five European cities.

Traffic injury prevention·2026
Same journal

Impact of grade designs of long mountainous freeway tunnel with crest vertical curve on traffic safety at tunnel portals.

Traffic injury prevention·2026
Same journal

Associations between blood ethanol concentration, clinical impairment test results, and traffic accident involvement among apprehended drivers.

Traffic injury prevention·2026
Same journal

Crash severity determinants in Saudi Arabia's Eastern Province: Evidence from logistic regression and neural networks.

Traffic injury prevention·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 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

Cellular phone use while driving at night.

Jonathon M Vivoda1, David W Eby, Renée M St Louis

  • 1Transportation Research Institute, UMTRI-Social and BehavioralAnalysis Division, The University of Michigan, Ann Arbor, Michigan 48109-2150, USA. jviv@umich.edu

Traffic Injury Prevention
|March 14, 2008
PubMed
Summary
This summary is machine-generated.

Nighttime drivers use cellular phones at rates similar to daytime drivers, with young females exhibiting the highest usage. This high usage, combined with increased risks of nighttime driving and young drivers, presents a significant transportation safety concern.

More Related Videos

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

Smartphone Fundus Photography
05:51

Smartphone Fundus Photography

Published on: July 6, 2017

Related Experiment Videos

Last Updated: Jul 6, 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

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

Smartphone Fundus Photography
05:51

Smartphone Fundus Photography

Published on: July 6, 2017

Area of Science:

  • Transportation Safety
  • Human Factors in Driving
  • Public Health

Background:

  • Cellular phone use while driving impairs attention and increases crash risk.
  • Previous research focused on daytime cellular phone use, neglecting nighttime driving behaviors.
  • Nighttime driving is inherently riskier than daytime driving.

Purpose of the Study:

  • To determine the prevalence of hand-held cellular phone use among drivers at night.
  • To compare nighttime cellular phone use rates with existing daytime data.
  • To investigate demographic variations in nighttime cellular phone use.

Main Methods:

  • Conducted two statewide direct observation surveys in Indiana during 2006.
  • Utilized specialized night vision equipment for nighttime observations.
  • Combined data from both survey waves for analysis.

Main Results:

  • Nighttime hand-held cellular phone use rate was 5.8% +/- 0.6%, comparable to daytime rates.
  • Cellular phone use was more prevalent among females and younger drivers.
  • The highest usage rate (11.9%) was observed in females aged 16-29.

Conclusions:

  • Nighttime cellular phone use is a significant issue, particularly among young drivers.
  • The combination of high usage, nighttime driving risks, and young driver demographics poses a transportation safety concern.
  • Further attention to this issue is warranted to mitigate potential increases in crashes.