Human Factors Research

Our work enhances safety through understanding the human-vehicle relationship. 

Technology: We work to understand and advance vehicle technology and simulation science.

Understanding: We explore methods for improving driver performance and understanding of technology, such as driver training and studying mental models.

Performance: We aim to identify and shift the limits of the human-machine relationship by studying

  • Drowsy and distracted driving
  • Novice or young drivers
  • Older drivers
  • User interfaces 

Mobility: We work to enhance mobility with the use of connected and automated vehicles through research and outreach.

Contact

John Gaspar portrait

John Gaspar

Title/Position
Director of Human Factors Research

News: Human Factors

2024 Driving Safety Research Institute Year in Review cover photo

2024: A Year in Review

Friday, December 20, 2024
The Driving Safety Research Institute works with students from across the country, and learn about their research on assessing driver monitoring systems, understanding of advanced driver assistance systems, connected simulation, and new features to miniSim in our 2024 Year in Review.
Diagram of a standard four-lane road next to a diagram of a three-lane road with a center turn lane

Iowa research examines impact of ‘road diets’ on emergency response

Friday, August 9, 2024
A new study from University of Iowa researchers examines how converting four-lane roads to three-lane roads impacts emergency responses.
A bearded man stands next to the vehicle cab inside in NADS-2 simulator.

A Plethora of Driver Monitoring System (DMS) Data

Monday, April 15, 2024
Researchers at DSRI have combined data sets from six past studies that all looked at the use of various driver monitoring systems (DMS) to detect drowsiness, distraction, and other types of impairment.
A man drives a car in a driving simulator.

Two simulators, One simulation

Monday, March 25, 2024
In a multi-year project to connect the NADS-1 and NADS-2 simulators into the same virtual environment, the DSRI team upgraded the hardware and vehicle cab of the NADS-2 simulator. A new full cab is in the NADS-2 space, with a motion base for the cab that uses the miniSim architecture.
An aerial view of two women sitting in the front of a Volvo XC90 while using adaptive cruise control/

The ADAS experts

Monday, February 12, 2024
Our investigators have been working on a series of studies analyzing advanced driver assistance systems (ADAS) technology and consumer understanding of ADAS features.
2023 Annual Report cover

2023: A Year in Review

Monday, January 1, 2024
Check out our recent highlights and accomplishments from the Driving Safety Research Institute, home of the National Advanced Driving Simulator.
dashboard photo showing advanced driving assistant systems (ADAS)

UI researchers studying ADAS features and crashes

Tuesday, August 1, 2023
They are looking for drivers who have been involved in a crash or near-crash situation in the past 12 months while driving a vehicle equipped with at least one ADAS feature to participate in a study.
Drowsy driver

University of Iowa research sheds light on drowsy driving, including risk factors, sleepiness questionnaires & ADAS applications

Monday, July 31, 2023
Drowsy driving is thought to be a probable cause in almost 40% of investigated highway crashes. While our researchers found that notifications do little to change driver performance, nothing replaces quality sleep before a long drive.
Voice Control Buttons

An alternative to touchscreens? In-car voice control is finally good

Thursday, February 16, 2023
This Ars Technica article features commentary from University of Iowa Driving Safety Research Institute director, Daniel McGehee.
Camry cab inside the NADS-1 simulator

Taking control in Level 3 Automation

Thursday, January 26, 2023
This article summarizes findings from two recent studies that our researchers have worked on with the National Highway Traffic Safety Administration (NHSTA) examining the various aspects of transition of control (TOC) between human drivers and periods of automated driving.