The Introduction to Vigilance Decrement Theory

vi Alert task requires long care. (Helton & Warm 2008) People who encounter such work usually try to concentrate after a while. This leads to job accuracy and speed reduction. This is also known as a drop in agility. Previous research showed that research introduced a theory of decreasing vigilance. During the Second World War, the radar system was used to detect enemy vehicles (submarines) underwater.

Alex Davis wrote a very nice article entitled "Unavoidable Stupidity to Train a Person to Drive a Car" at Wired.com. It discusses "a reduction in alertness", especially when they do nothing, for example, when they monitor the behavior of an automated driving car, the warnings are less natural with the passage of time. Therefore, most auto-driven cars require that legal staff be placed when everything is too much due to autopilot software and how to handle this situation correctly to autopilot software at that particular moment You can take over at the time of teaching. In many cases, this seems to be a way to create more problems than to solve.

Introduction Since the first invention of self-propelled vehicles, the concept of autonomous vehicles has always been a human dream. Over the years, the idea of ​​riding a vehicle without warning or caution encouraged the automotive industry to seek alternatives to driver-dependent vehicles. Many people believe that research and testing over the years have greatly advanced the technologies necessary to operate these vehicles and autonomous vehicles are in close proximity and become real.

This method is particularly valuable, as far as they know, by maintaining control of the car by the human driver, keeping the full involvement of the driver, avoiding vigilance and reducing problems I will. Like most talented drivers, they deal with unforeseen circumstances that can happen at any time. Human drivers are always drivers, they will never be called by drivers when they are unpredictable. And this is an important step in ensuring the safety of unmanned driving vehicles until they are truly reliable and regular human monitoring is lost.