Literature DB >> 15359683

Imperfect in-vehicle collision avoidance warning systems can aid drivers.

Masha Maltz1, David Shinar.   

Abstract

An experiment was conducted to determine the effects of an in-vehicle collision avoidance warning system (IVCAWS) on driver performance. A driving simulator was driven by 135 licensed drivers. Of these, 120 received alerts from the IVCAWS when their headway to a lead car was less than 2 s, and the other 15 (the control group) received no alerts. Drivers received varied alert interfaces: auditory, visual, and multimodal. The system had varied levels of reliability, determined by both false alarm rate and failure of the IVCAWS to alert to short headway. Results indicated that the IVCAWS led to safer (longer) headway maintenance. High false alarm rates induced drivers to slow down unnecessarily; large numbers of missed alerts did not have any significant impact on drivers. Driver acceptance of the system was mixed. Interface played a role in driver reliance on the system, with the multimodal interfaces generating least reliance. Actual or potential applications of this research include IVCAWS interface selection for greater system efficacy and user acceptance and the advisability of implementation, even of imperfect systems, for drivers who seek to maintain a safer headway.

Mesh:

Year:  2004        PMID: 15359683     DOI: 10.1518/hfes.46.2.357.37348

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


  7 in total

1.  Aging: Older Adults' Driving Behavior Using Longitudinal and Lateral Warning Systems.

Authors:  Dustin J Souders; Neil Charness; Nelson A Roque; Hellen Pham
Journal:  Hum Factors       Date:  2019-07-30       Impact factor: 2.888

2.  Understanding reliance on automation: effects of error type, error distribution, age and experience.

Authors:  Julian Sanchez; Wendy A Rogers; Arthur D Fisk; Ericka Rovira
Journal:  Theor Issues Ergon Sci       Date:  2014-03

3.  Augmented reality cues to assist older drivers with gap estimation for left-turns.

Authors:  Michelle L Rusch; Mark C Schall; John D Lee; Jeffrey D Dawson; Matthew Rizzo
Journal:  Accid Anal Prev       Date:  2014-06-18

4.  Understanding human management of automation errors.

Authors:  Sara E McBride; Wendy A Rogers; Arthur D Fisk
Journal:  Theor Issues Ergon Sci       Date:  2014

5.  Augmented reality cues and elderly driver hazard perception.

Authors:  Mark C Schall; Michelle L Rusch; John D Lee; Jeffrey D Dawson; Geb Thomas; Nazan Aksan; Matthew Rizzo
Journal:  Hum Factors       Date:  2013-06       Impact factor: 2.888

6.  Directing driver attention with augmented reality cues.

Authors:  Michelle L Rusch; Mark C Schall; Patrick Gavin; John D Lee; Jeffrey D Dawson; Shaun Vecera; Matthew Rizzo
Journal:  Transp Res Part F Traffic Psychol Behav       Date:  2013-01

Review 7.  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
  7 in total

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