Literature DB >> 19899357

Effects of in-car support on mental workload and driving performance of older drivers.

Ragnhild J Davidse1, Marjan P Hagenzieker, Peter C van Wolffelaar, Wiebo H Brouwer.   

Abstract

OBJECTIVE: This study examined the extent to which driving performance of 10 older (70-88 years old) and 30 younger participants (30-50 years old) improves as a result of support by a driver assistance system.
BACKGROUND: Various studies have indicated that advanced driver assistance systems (ADAS) may provide tailored assistance for older drivers and thereby improve their safe mobility.
METHOD: While drivers followed an urban route in a driving simulator, an ADAS provided them with prior knowledge on the next intersection. The system was evaluated in terms of effects on workload and safety performance.
RESULTS: Messages informing drivers about the right-of-way regulation, obstructed view of an intersection, and safe gaps to join or cross traffic streams led to safer driving performance. A message regarding an unexpected one-way street led to fewer route errors. In general, effects were the same for all age groups. Workload was not reduced by the support system.
CONCLUSION: The evaluated support system shows promising effects for all age groups. Longer evaluation periods are needed to determine long-term effects. APPLICATION: The messages provided by the evaluated system are currently not provided by existing ADAS such as advanced cruise control and navigation systems, but they could possibly be added to them in the future.

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Mesh:

Year:  2009        PMID: 19899357     DOI: 10.1177/0018720809344977

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


  3 in total

1.  Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics.

Authors:  Jan C Zoellick; Adelheid Kuhlmey; Liane Schenk; Stefan Blüher
Journal:  PLoS One       Date:  2021-03-25       Impact factor: 3.240

2.  Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals.

Authors:  Selina C Wriessnegger; Philipp Raggam; Kyriaki Kostoglou; Gernot R Müller-Putz
Journal:  Front Hum Neurosci       Date:  2021-11-26       Impact factor: 3.169

3.  RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies.

Authors:  Sherrilene Classen; Yuan Li; Wayne Giang; Sandra Winter; Jiajun Wei; Bhavana Patel; Mary Jeghers; Beth Gibson; Jason Rogers; Adolfo Ramirez-Zamora
Journal:  Contemp Clin Trials Commun       Date:  2022-06-28
  3 in total

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