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Driver distraction: attention sharing and why it matters
Seeing Machines
Stand: 3/M30
When driving, attention is everything. Even brief lapses in focus can increase the likelihood of an incident, and data shows it’s not only the obvious distraction events – long glances away from the road, or extended periods looking down – that matter. Short, frequent glances away from the driving task can accumulate and contribute to a meaningful rise in crash risk. With drivers more connected than ever, and with mobile phone use continuing to grow, managing distraction behind the wheel remains a critical focus for fleets, insurers, and regulators alike.
Research highlights the scale of the issue. A glance of just two seconds away from the road can double crash risk, while repeated off-road glances affect a driver’s situational awareness, reaction times, and ability to detect hazards. As the driving environment becomes more complex, the industry is increasingly looking for ways to measure distraction more precisely and intervene before risk escalates.
Consequently, growing emphasis is being placed on “attention sharing,” a behaviour in which drivers repeatedly shift their gaze away from the road for brief moments within short timeframes (for example, looking down at a mobile phone, back to the road, then down again shortly after). Each glance may last less than a second, but when accumulated, these moments significantly reduce a driver’s awareness of what’s unfolding ahead. Studies show that as visual attention becomes divided, vehicle control degrades and the time required to identify hazards increases. Critically, crash risk rises with total eyes-off-road time, regardless of how brief individual glances may be.
Traditional safety systems typically detect when a driver looks away for too long in a single event. While this is valuable, it doesn’t always capture the more subtle, cumulative patterns that also contribute to risk. Measuring attention sharing provides a more complete picture of how engaged a driver really is by focusing on total off-road time rather than only longer, isolated events. This concept underpins recent advancements in distraction detection, including new approaches that track both eye gaze and head pose to understand where a driver’s attention is directed moment by moment.
Guardian’s attention sharing detection is one example of this shift. Instead of only identifying when a driver looks away for several continuous seconds, it monitors cumulative off-road glances within rolling time periods. If total off-road time reaches 10 seconds within 30 seconds, the system prompts the driver with visual and audio cues to refocus. These alerts aim to provide real-time feedback before safety is compromised, while also giving fleets better visibility into distraction patterns through post-event reporting.
This is a world-first for commercial fleets and a gamechanger for road safety.
By analysing visual engagement over time, it becomes possible to identify trends, emerging risks, and patterns that would otherwise remain hidden. The result is a more predictive understanding of distraction: not just what happened in a single moment, but what behaviour is developing over a journey. Continuous tracking of eye gaze direction also helps reduce false events by distinguishing between head movement and true shifts in visual attention, supporting a smoother, less intrusive experience for drivers.
In practice, short glances off the road may feel insignificant, but the evidence shows that when they accumulate, they carry serious safety consequences. Understanding and detecting attention sharing offers fleets a clearer view of distraction risk and a way to intervene earlier and more effectively. In a driving environment shaped by connectivity, in-cab technology, and greater cognitive load, having this visibility has become not just advantageous, but essential.
To learn more, visit the Seeing Machines team at stand 3/M30 for a live demo of Guardian and its advanced attention sharing detection capability, and see how it captures subtle distractions other systems miss.
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