Literature DB >> 18074708

Effects of single versus multiple warnings on driver performance.

M L Cummings1, Ryan M Kilgore, Enlie Wang, Louis Tijerina, Dev S Kochhar.   

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 x 2 x 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.

Entities:  

Mesh:

Year:  2007        PMID: 18074708     DOI: 10.1518/001872007X249956

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  4 in total

1.  Cross-modal warnings for orienting attention in older drivers with and without attention impairments.

Authors:  Monica N Lees; Joshua Cosman; John D Lee; Shaun P Vecera; Jeffrey D Dawson; Matthew Rizzo
Journal:  Appl Ergon       Date:  2011-12-26       Impact factor: 3.661

2.  The Challenges of Partially Automated Driving.

Authors:  Stephen M Casner; Edwin L Hutchins; Don Norman
Journal:  Commun ACM       Date:  2016-04-26       Impact factor: 4.654

Review 3.  Use, perceptions, and benefits of automotive technologies among aging drivers.

Authors:  David W Eby; Lisa J Molnar; Liang Zhang; Renée M St Louis; Nicole Zanier; Lidia P Kostyniuk; Sergiu Stanciu
Journal:  Inj Epidemiol       Date:  2016-12-19

4.  Long-Term Evaluation of Drivers' Behavioral Adaptation to an Adaptive Collision Avoidance System.

Authors:  Husam Muslim; Makoto Itoh
Journal:  Hum Factors       Date:  2020-06-02       Impact factor: 2.888

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.