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Streamlining Driver Research into Humans/Autonomous Vehicle Interactions

Published on September 24, 2021

Streamlining Driver Research into Humans/Autonomous Vehicle Interactions
A recent article in the New York Times highlighted “a growing number of crashes involving [Tesla’s] Autopilot that have fueled concerns about the technology’s shortcomings.” This is calling into question the speed with which automakers are developing and deploying new ADAS (advanced driver-assistance system) features. These concerns should be guiding driver research. But, to date, … Continued

Autonomous Vehicle Research: Teaching Smart Cars to Detect Dumb Decisions

Published on August 27, 2021

Autonomous Vehicle Research: Teaching Smart Cars to Detect Dumb Decisions
Each year roughly 1 million people are arrested for driving under the influence of alcohol. For the past ten years alcohol has played a role in roughly 30% of all traffic-related deaths in the United States. Concerted marketing and law enforcement efforts to reduce drunk driving through the 1990s were remarkably successful. But in the … Continued

Make Complicated Driving Research Easy—the ‘Mind Over Motor Mapping’ Example

Published on May 4, 2021

Make Complicated Driving Research Easy—the ‘Mind Over Motor Mapping’ Example
  To error is human—especially behind the wheel. According to government estimates and existing driving research, roughly 94% of all auto accidents result from driver error. Autonomous vehicles offer an important opportunity to reduce human error behind the wheel. But as we’ve seen over the last several years, the rise in autonomous driving systems has … Continued

Overcoming Limitations in Human Factors Research into Distracted Driving

Published on April 7, 2021

Overcoming Limitations in Human Factors Research into Distracted Driving
  Human factors research is keenly interested in what’s happening in the brain of distracted drivers while texting or using GPS apps. Roughly 4,000 people are killed each year by distracted driving and another 390,000 injured. By some estimates, one-quarter of all U.S. car accidents are caused by someone texting and driving. Previous research has … Continued

Simulator Sickness: Design Implications of the Rest-Frame Hypothesis

Published on February 17, 2021

Simulator Sickness: Design Implications of the Rest-Frame Hypothesis
  In a previous post, we discussed the three most widely recognized theories about simulation sickness (and their scenario design implications) in detail. In general, these older understandings of what causes simulation sickness tend to argue that we must remove or attenuate motion signals in our simulations to prevent discomfort. The “Rest-Frame Hypothesis” is a … Continued

The Three Traditional Theories of Simulator Sickness and their Implications for Scenario Design

Published on February 1, 2021

The Three Traditional Theories of Simulator Sickness and their Implications for Scenario Design
  Simulator sickness can complicate simulation-based driving research and negatively affect the validity of that research. When participants are uncomfortable or nauseous, they will be distracted from tasks, preoccupied with their discomfort. They may (consciously or unconsciously) avoid tasks or perform poorly to avoid further irritation. Our Realtime Technologies lead engineer and general manager, Heather … Continued

Choosing a Driver Simulation Platform that Minimizes Simulation Sickness

Published on September 23, 2020

Choosing a Driver Simulation Platform that Minimizes Simulation Sickness
  Driver simulation is a remarkably powerful research tool. It allows us to safely and affordably explore how people handle potentially deadly situations. We can create scenarios (e.g., poor visibility, impaired driving, malfunctioning ADAS systems) that would be logistically impossible (as well as unethical) to ask study participants to endure in real life. So it’s … Continued
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