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

Naturalistic Observations02:30

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

You might also read

Related Articles

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

Sort by
Same author

Digital Nerve Coaptation vs Standard of Care for Partial and Ray Digital Amputations.

Annals of plastic surgery·2025
Same author

Neutropenic Fever Secondary to Concurrent Clostridioides difficile Infection and Neutropenic Enterocolitis.

Cureus·2025
Same author

An Unusual Cause of Abdominal Pain: Mesenteric Lymphadenopathy Secondary to Sarcoidosis Without Pulmonary Involvement.

Cureus·2025
Same author

Novel Technique for Single-Site, Ultrasound-Guided Release of the Cubital Tunnel: An Anatomic Feasibility Study.

Annals of plastic surgery·2025
Same author

The Impact of Tranexamic Acid Usage on Craniosynostosis Surgery Outcomes: A Single-Center Review.

The Journal of craniofacial surgery·2025
Same author

Evolution of Craniosynostosis Care at a Single Institution Over an 11-Year Period.

The Journal of craniofacial surgery·2025
Same journal

Compatibility Effects With Simple Lever Tools: A Replication and Extension Beyond Simple Button Responses.

Human factors·2026
Same journal

Effects of Egocentric and Exocentric Supervisor Viewpoint Perspectives on Motion Plan Legibility and Decision Support in Automated Spacecraft Docking Maneuvers.

Human factors·2026
Same journal

System-Wide Trust (SWT) Versus Component-Specific Trust (CST) in Multi-Agent Human-Agent Teams: Individual Variability in Trust Bias.

Human factors·2026
Same journal

Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers' Trust, Monitoring, and Response.

Human factors·2026
Same journal

Modeling Human Expertise in a Sanding Task.

Human factors·2026
Same journal

Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Outcomes.

Human factors·2026
See all related articles

Related Experiment Video

Updated: Jun 26, 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

Warning reliability and driver performance in naturalistic driving.

John M Sullivan1, Omer Tsimhoni, Scott Bogard

  • 1University of Michigan Transportation Research Institute, Human Factors Division-R331, Ann Arbor, MI 48109-2150, USA. jsully@umich.edu

Human Factors
|December 30, 2008
PubMed
Summary
This summary is machine-generated.

Driver reaction time to in-vehicle warnings improves as perceived system reliability increases. This study quantifies subjective reliability using naturalistic driving data, showing faster steering corrections with higher perceived reliability.

More Related Videos

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

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

Related Experiment Videos

Last Updated: Jun 26, 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

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

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

Area of Science:

  • Human-computer interaction
  • Automotive safety systems
  • Driver behavior analysis

Background:

  • Previous research shows objective warning reliability affects driver response.
  • Simulator and test-track studies are common for evaluating warning systems.

Purpose of the Study:

  • To investigate the impact of perceived in-vehicle warning system reliability on naturalistic driving performance.
  • To introduce a novel method for measuring perceived reliability in real-world driving scenarios.

Main Methods:

  • Examined driver responses to lateral drift warnings (LDWs) in naturalistic driving.
  • Developed a "day proportion" metric for subjective reliability based on prior driver responses.
  • Utilized a linear model incorporating driver and environmental factors to predict steering correction latency.

Main Results:

  • A significant main effect of "day proportion" was observed.
  • Reaction time to warnings decreased by approximately 375 ms as perceived reliability (day proportion) increased from 0 to 1.

Conclusions:

  • Developed a quantifiable measure of subjective reliability from naturalistic driving data.
  • Steering correction latency is inversely related to the perceived reliability of the warning system.
  • Perceived reliability measures may offer a better prediction of driver response to in-vehicle warnings than objective measures alone.