01623713

Component

https://doi.org/10.3141/2663-05

With semiautonomous vehicles and innovative assistance systems flooding the market, the characteristics of warning signals for automotive human–machine interfaces determine their effectiveness and usage. Within the context of advanced driver assistance systems, poorly designed warning signals have the potential to startle and distract drivers. Previous studies have investigated the effectiveness of multimodal warning signals and found that such signals reduce braking times. They are also associated with high levels of perceived urgency. This study aimed to investigate the effects of auditory, vibrotactile, and multimodal warning signals on perceived urgency, annoyance, and acceptability while varying the level of participants’ mental workload and the characteristics of the warning signals (interpulse interval). Results show that, compared with other signal modalities, multimodal warning signals appear to be effective in low-workload conditions but such effect disappears as the overall level of workload increases. These results are useful for the development of an adaptive warning signal system.

01653375

17-00831

English

pp 34–39

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442060

Digital/other

Figures (1) ; References (25) ; Tables (1)

Annoyance; Attention lapses; Distraction; Driver support systems; Mechanical vibration; Tactile perception; Vehicle safety; Warning signals

Highways; Safety and Human Factors; Vehicles and Equipment

TRIS, TRB, ATRI

Dec 8 2016 10:11AM

• Age-Based Simulation of Merging Behavior at Freeway Merging Ramps
• Analyzing and Modeling Drivers’ Deceleration Behavior from Normal Driving
• Automatic Driver Head State Estimation in Challenging Naturalistic Driving Videos
• Comparative Analysis of Toll Plaza Safety Features in Puerto Rico and Massachusetts with a Driving Simulator
• Crash Heterogeneity: Implications for Naturalistic Driving Studies and for Understanding Crash Risks
• Drivers’ Lane-Keeping Ability in Heavy Rain: Preliminary Investigation Using SHRP 2 Naturalistic Driving Study Data
• Effects of a Change in Environment on the Minimum Time to Situation Awareness in Transfer of Control Scenarios
• Effects of Alert Cue Specificity on Situation Awareness in Transfer of Control in Level 3 Automation
• Examining Potential Confounds in Use of the Detection Response Task for In-Vehicle System Evaluation
• Investigating Driver Behavior at Minor-Street Stop-Controlled Intersections in Qatar
• Linking the Detection Response Task and the AttenD Algorithm Through Assessment of Human–Machine Interface Workload
• Modeling Effects of Forward Glance Durations on Latent Hazard Detection
• Modeling of Vehicles Merging Movement at Unsignalized Intersections Considering Drivers’ Risk Perception
• On-Road Visual Sign Salience, Driver Attention Allocation, and Target Detection Accuracy
• Simulator Study of Involuntary Driver Distraction Under Different Perceptual Loads
• Strategies to Assist Drivers in Remaining Attentive While Under Partially Automated Driving: Verification of Human–Machine Interface Concepts