Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS

TL;DR

The different driver preferences based on the nature of the driving scenario are showcased and also show that they evolve as the drivers distraction state changes.

Abstract

Distracted driving is a major cause of road fatalities. With improvements in driver (in)attention detection, these distracted situations can be caught early to alert drivers and improve road safety and comfort. However, drivers may have differing preferences for the modes of such communication based on the driving scenario and their current distraction state. To this end, we present an (N=147) where videos of simulated driving scenarios were utilized to learn drivers preferences for modes of communication and their evolution with the drivers changing attention. The survey queried participants preferred modes of communication for scenarios such as collisions or stagnation at a green light. that inform the future of communication between drivers and their vehicles. We showcase the different driver preferences based on the nature of the driving scenario and also show that they evolve as the drivers distraction state changes

Figures (6)

• Figure 1: Example clips from videos shown in the user survey. Each video is divided into two sections. The top section of the video shows the front view through the windshield from the driver's seat. The bottom section shows the left side view mirror, the rear-view mirror, and the right side view mirror from left to right. Video (b) and (c) are not augmented and present all information about the scenario to the participants. Video (a) is augmented to introduce a hyper-fixation distraction.
• Figure 2: An overview of the survey: Participants first fill out a demographics questionnaire, followed by a driving experience questionnaire. Then, participants are randomly assigned one of three tracks that contain distinct videos showcasing the 5 different driving scenarios under different environmental conditions and augmentations. Finally, the survey ends with a questionnaire on their need for and comfort with a system with adaptive communication.
• Figure 3: The distribution of the modes of communication based on the hazardous nature of the driving scenario (left to right in decreasing order), regardless of distraction status. Each section of the vertical bars shows the number of times the mode was picked as the first (bottom), second (middle), and third (top) choice respectively.
• Figure 4: The distribution of responses for perceived safety in a car with an AdaCoM Module as a driver (top) and passenger (bottom).
• Figure 5: The distribution of responses for their comfort with audio (top) and visual (bottom) recordings in their vehicles.