I would like to point out that in no way does this research predict crash risk on a public road.
There is a whole class of research that observes drivers on the road in their NATURAL environment, in their own vehicle, and without an experimenter present (naturalistic driving data). The biggest project in this line of research is named the Strategic Highway Research Project 2 (SHRP funded by the government via the transportation research board) that has equipped 3000+ vehicles with an array of sensors and cameras to really get at the true causes of crashes. This project has observed approx. 1000 crashes 5000 near crashes and 5 Million miles of driving. There has been a driver distraction report published from a subset of this data (focusing on contributing factors of forward collisions). The publication can be read here ...
http://onlinepubs.trb.org/onlinepubs/shrp2/SHRP2prepubS08AReport.pdf.
Most driving research does not use this kind of data because it is very expensive to collect, store, and analyze.
What this kind of data has repeatedly taught us is that any task where the driver does not have to take eyes of the forward road scene is not ASSOCIATED with a higher crash risk than just driving. Often times with naturalistic driving data you will observe tasks like talking on the phone are associated with less risk. Explanations for this is that drivers choose when to talk on the phone (in experiments participants are told when to perform a task) and drivers can make driving accommodations (i.e., stay in a single lane and keep a longer following distance). Effects of mental or cognitive distraction is not difficult to observe in the lab. For instance a participant may be less likely to respond to a red light in the side view mirror when doing mental math. But as mentioned, on the real road, drivers adjust their driving style to make up for negative effects of increased mental load. Furthermore, if our eyes are on the road, driving is a rather automated experience for us. We simply do not need to commit all our mental resources towards routine driving. We use our excess mental capacity to get lost in thought (we are all distracted drivers but manage to get home safe). Mental distraction does not seem to have a direct safety link.
Now I am not going to say that the driving behavior or a highly distracted person is not annoying but there is no direct public road evidence that a person on the phone is at greater risk of crashing (maybe just receiving hand gestures from other drivers).
Risk starts to ramp up when drivers take long single glances away from the forward road scene. Though, a glance does not have to long to contribute to a crash. Tasks like texting, dialing a phone, and searching for the phone are clearly associated with an increased level of crash risk. Though visually distracted drivers also change their driving behavior, it is much more difficult to respond to surprise events or maintain lane position than drivers talking on the phone but with their eyes on the road.
In regards to voice interactions with the vehicle, not a whole lot of road data has been analyzed yet. If I were to hypothesize ... in cases where the driver is asked to look at text, (for instance if you are trying to compose a message with your voice but you want to read your message before sending) then this kind of interaction will likely increase risk. If the interaction is purely auditory/vocal, there really is no direct public road data suggesting that it will be associated with an increased crash risk.
I am not an Apple employee