3 ms·
I think you've mixed up your logic a bit. A slow visual reaction time means that surgeons are already reacting slower in the real world. Any latency added (!!)
by hailwren 7y ago
I think you've mixed up your logic a bit. A slow visual reaction time means that surgeons are already reacting slower in the real world. Any latency added (!!) by a network further adds to the delay between surgeon reaction and real world stimulus.
You argued that when we compare the average VRT additional latency is not large. But you should have argued that there was enough buffer between average VRTs and the time needed for a surgeon to react to allow adding to average VRT.
i.e. If we imagine driving a car with a video camera, we don't really care about latency vs reaction time. We care whether latency + reaction < accident threshold.
- xoa 7y ago>You argued that when we compare the average VRT additional latency is not large. But you should have argued that there was enough buffer between average VRTs and the time needed for a surgeon to react to allow adding to average VRT. If you look at the paper I linked, it includes not just the mean but the standard deviation, which is on the order of 10-20ms. That means we are already by definition accepting that kind of variability regardless does it not? If +/- 10ms was critical, it'd imply we should be filtering for that already but it doesn't appear that's the case at all. Furthermore, hunting around for other research on the subject indicates far higher variability than that is also introduced by standard stress factors (lack of sleep, overload, distractions, etc). All of which are strongly present in existing medical practice as well. To the extent working remotely might reduce some of those it could in principle even effectively cancel out a 10ms penalty. I stand by saying it's not at all clear that sub-10ms (or potentially even higher) would at all be the critical factor preventing remote work. Speed of light seems to be far less important then factors like total network disruption, robotics reliability, etc.