Year: 2025
Type: article
Abstract: Distraction on the driver is the most significant factor in traffic accidents particularly in high speed conditions where the reaction time is shortened and the safety margin in the high velocity is at low margins. At the same time, more and more human-centered and machine-centered devices (HMIs) in current vehicles may increase visual, cognitive, and manual loads on the drivers (advanced navigation systems, infotainment consoles, driver-assistance features). The methodology provided in this paper is a systemic approach to developing the HMIs that would reduce the likelihood of driver distraction without majorly affecting the functionality of the system. The offered methodology consists of a combination of the human factor principles, multimodal feedback approaches, prioritization of tasks to be performed, application of adaptive display approaches and real-time driver workload monitoring. A simulation of a prototype adaptive HMI was created and tested with high-fidelity simulations also by means of driving simulations. The findings indicate that there are task completion duration, total glance, maximum glance and subjective workload decreases in comparison to the baseline interfaces. The methodology is applicable to the automotive designers who need guidance on how to maintain functionality and safety in the high speed driving environment.
Author: Bermet Darbisheva
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W7130314170
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