Eye tracking technology can help professionals in the automotive industry design better driving simulators and training programs. Even more, a 3D eye tracking driving simulator setup, in particular, provides unprecedented insights into visual attention, situational awareness, and habitual driver behavior. The global driving simulator market is projected to experience remarkable growth within the next five years. As of late, some countries have even made simulator training compulsory for all future drivers.
Still, in spite of the continuous development of the driving simulator industry, manufacturing companies and driver instructors face a series of challenges and limitations in training programs. This applies to both regular driving habits and instinctive actions in emergency situations. You can only guess, probe, and assume the reasons. In terms of communication, this creates a two-way block:.
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Our software facilitates the remote and non-intrusive monitoring of eye movements and visual attention in real time. A lack of accurate driver attention data results in a considerably greater investment in training programs. Trainees require more time to learn and trainers more time to assess performance. In addition to this, the financial resources allocated for training will only increase in proportion to the necessary time invested. Source: Wikipedia. Nevertheless, a data-centric approach with eye tracking technology can cut costs across the board.
So, we know what some of the main issues manufacturers, trainers, and other auto simulation professionals are confronted with. We also know that a viable solution is creating a 3D eye tracking driving simulator environment for training programs.
But on a specific level β how does the technology enable companies to better understand driver attention and behavior? What data and metrics are involved? How often does the trainee-driver check mirrors? What about the speedometer? When a distraction arises β whether visual, manual, or cognitive β, what is the response?
