That depends on the rate of system failure. I used an early form of autopilot and you quickly started to pay attention to where the system would fail. It was like cruse control where you look for situations where you can turn it on but never stop paying attention.
At the other end with really safe systems they are going to default to safer than a human driver. So, there might be a significantly deadlier middle ground, but no company has deployed anything like that yet.
You may do this, but I bet the majority of people do not. I know that Google has data about it's self-driving cars that they know their "safety drivers" simply don't pay attention. In Uber's case - here in the Phoenix area last year - this inattention helped to cause an arguably avoidable fatal accident. These were people supposedly trained not to do this - yet they did.
As far as cruise control is concerned - there've been more than a few accidents of people thinking it did more than it does, and not pay attention to the road in front of them. Tesla's autopilot system, while better than simple cruise control, has - because of this better system (and poor marketing) - caused people to think it does more than it can, and has led them to sleeping in their vehicles while it "drove", to being completely inattentive, etc.
It is pretty well known at this point that those "middle levels" of self-driving technologies are things that shouldn't be implemented, because people either misunderstand them, or misuse them, leading to often fatal accidents.
Google’s cars are in that middle ground, but Google has also not released their system. Presumably they are going to wait until it’s as safe as the average driver before releasing it.
The sensation would be like driving one of those tracked cars at an amusement park. Try and slam the wheel hard to the right to steer into a guard rail? Computer would physically block it from turning past the point that you would leave your own lane.
This system would:
* force human drivers to drive the car 100% of the time
* allow real world testing and enhancement of self driving capabilities (data gathering, model backtesting, etc.)
* be strictly better than both fully automated and existing non-automated systems
Example: you slam the wheel to the right to steer into a guard rail. The computer overrides you and you remain in your lane. You flatten the toddler you were trying to avoid, that the computer didn't see.