A recent study conducted by the University of Windsor’s Faculty of Human Kinetics has shed light on the potential dangers of drivers relying on semi-autonomous technology. Contrary to popular belief, the report suggests that drivers of these vehicles are more prone to distractions and less focused on the road compared to when driving manually.
Led by Kinesiology professor Francesco Biondi, the study involved 30 volunteers driving a 2022 Tesla Model 3 on Highway 401 between Windsor and Chatham. These participants were observed in both manual and L2 semi-autonomous modes over several months. Astonishingly, even though many of the volunteers were first-time Tesla drivers, they exhibited a tendency to tune out while in semi-autonomous mode. Some were caught glancing for extended periods at the vehicle’s touchscreen, and a few drivers even dozed off while the vehicle was in operation.
The findings further highlight the false sense of security that drivers experience when relying on semi-autonomous systems. Biondi emphasized that these systems are not as safe as previously believed, contradicting the notion that they are just around the corner in terms of reliability and effectiveness.
The study also revealed that drivers were significantly more alert when operating the Tesla manually. They demonstrated greater attention to the road, looking in multiple directions, and focusing on their surroundings. This raises concerns about the drivers’ ability to remain attentive while supervising the vehicle’s semi-autonomous functions.
While driving in construction zones, the technology proved to be less reliable due to less discernible lane markings. Biondi noted that drivers must exercise greater vigilance in such situations. Additionally, he pointed out the need for enhanced driver training in light of the advancement in vehicle technology over the past two decades.
This pioneering study, financed by the Ontario Ministry of Transportation, represents the first research conducted in real-life road conditions involving drivers of a semi-autonomous vehicle in Canada. The participants wore specialized headgear to monitor eye movements, pupil dilation, and blink rates. Their heart rates and hand-eye reaction times were also measured, while cameras captured their head movements and the road conditions.
These findings underline the urgency for improved driver training and increased awareness of the limitations and potential risks associated with semi-autonomous technology. As the automotive industry continues to embrace self-driving features, it becomes essential to prioritize the safety of both drivers and other road users.
