When it comes to driving, the old saw "eyes-on-the-road, hands-on-the-wheel" will suffice to promote safe driving has been questioned over the last decade by both driving simulator and naturalistic driving (real time, on real roads) studies.
The most recent study from the AAA Foundation for Traffic Safety (1), argues (supported with empirical results) that "Mind-on-the-Road" (having NO other external or in-vehicle 'cognitive distraction'; e.g., rubber necking caused by an emotionally arousing stimuli on the road such as a gruesome accident or talking on a hands-free cellphone, respectively) is equally important for safe driving. However, human factors studies have produced conflicting results as to the extent and amount of risk caused by such cognitive distraction (e.g., see 2).
Nevertheless, the true design question that needs to be asked his, how does one design voice based interaction technologies in a car to mitigate cognitive distractions? It has been known for some time, that on-board human-human communication (e.g., driver talking with co-passenger on the front seat) doesn't cause as much cognitive distraction. Because the passenger is cognizant of the traffic conditions (shared situation awareness; a.k.a., "mutual knowledge"* in the field of linguistic-pragmatics) -- and, thus, the driver's workload -- and may choose to pause or stop talking all together in heavy traffic conditions; likewise, the driver too may modulate his behavior by becoming silent because he knows that the passenger knows his mind is busy -- and, thus, may tolerate the period of driver going incommunicado.
*Mutual Knowledge: I (the driver) know that you (my co-passenger) knows that my mind is totally occupied due to the navigation demands placed by heavy traffic on the road; and you know that I know that you have stopped talking to me so as to not bother me; and I know that you know I won't anyway listen to you because my mind (and attention) are completely consumed due to the heavy cognitive load imposed by driving through heavy traffic.Thus, in an era of AI and Machine Learning would it not be possible to design on-board technology that perceives, acts and behaves like a fellow passenger who is cognizant of the driver's workload? In other words, a machine that practices a form of analytics and AI, where it predicts and intuits human / driver capabilities and limitations, based on his workload on the primary task (driving) moment by moment in real time -- and adapts its behavior (via the voice or graphical/physical human interface) accordingly.Thus making itself (pseudo) hyper-intuitive to the driver, resulting in an illusion as though it is reading his mind! We may even refer to this intelligent machine behavior as being facilitated via an Inverted Hyper-Intuitive User Interface.
A voice-activated technology (machine) endowed with "mutual knowledge" and shared situation awareness -- adapting itself and, thus, enhancing its usability via its Inverted Hyper-Intuitive User-Interface -- can go a long way in promoting safe driving outcomes. Finally, the utilization and design of voice-activated technology should be carefully considered for police, emergency response and military vehicles, given the HighVelocityHumanFactors "HVHF" issues (high stakes, volatile, danger, stress-induced cognitive depletion) they encounter during their mission.
REFERENCES
(from the press):
1(a) NPR: Hands-Free Gadgets Don't Mean Risk-Free Driving1(b) New York Time: Voice-Activated Technology Is Called Safety Risk for Drivers
(2) VTTI has produced several studies showing that talking on a cell phone while driving does not increase risk."
Moin Rahman
Founder/Principal Scientist
HVHF Sciences, LLC
"Designing systems and solutions for human interactions when stakes are high, moments are fleeting and actions are critical."
