Effects of Single Versus Multiple Warnings on Driver Performance

Author:

Cummings M.L.1,Kilgore Ryan M.2,Wang Enlie3,Tijerina Louis4,Kochhar Dev S.4

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, Massachusetts,

2. Charles River Analytics, Cambridge, Massachusetts

3. Massachusetts Institute of Technology, Cambridge, Massachusetts

4. Ford Motor Company, Dearborn, Michigan

Abstract

Objective: To explore how a single master alarm system affects drivers' responses when compared with multiple, distinct warnings. Background: Advanced driver warning systems are intended to improve safety, yet inappropriate integration may increase the complexity of driving, especially in high workload situations. This study investigated the effects of auditory alarm scheme, reliability, and collision event type on driver performance. Method: Using a 2 × 2 × 4 mixed factorial design, we investigated the impact of two alarm schemes (master vs. individual) and two levels of alarm reliability (high and low) on distracted drivers' performance across four collision event types (frontal collision warnings, left and right lane departure warnings, and warnings for a fast-approaching following vehicle). Results: Participants' reaction times and accuracy rates were significantly affected by the type of collision event and alarm reliability. The use of individual alarms, rather than a single master alarm, did not significantly affect driving performance in terms of reaction time or response accuracy. Conclusion: Even though a master alarm is a relatively uninformative warning, it produced statistically no different reaction times or accuracy results when compared with information-rich auditory icons, some of which were spatially located. In addition, unreliable alarms negatively impacted driver performance, regardless of event type or alarm scheme. Application: These results have important implications for the development and implementation of multiple driver warning systems.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

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