On-road assessment of in-vehicle driving workload for older drivers: Design guidelines for intelligent vehicles

M. H. Kim, J. Son

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

There has been recent interest in intelligent vehicle technologies, such as advanced driver assistance systems (ADASs) or in-vehicle information systems (IVISs), that offer a significant enhancement of safety and convenience to drivers and passengers. However, the use of ADAS- and IVIS-based information devices may increase driver distraction and workload, which in turn can increase the chance of traffic accidents. The number of traffic accidents involving older drivers that are due to distraction, misjudgment, and delayed detection of danger, all of which are related to the drivers' declining physical and cognitive capabilities, has increased. Because the death rate in traffic accidents is higher when older drivers are involved, finding ways to reduce the distraction and workload of older drivers is important. This paper generalizes driver information device operations and assesses the workload while driving by means of experiments involving 40 drivers in real cars under actual road conditions. Five driving tasks (manual only, manual primarily, visual only, visual primarily, and visual-manual) and three age groups (younger (20-29 years of age), middle-aged (40-49 years of age), and older (60-69 years of age)) were considered in investigating the effect of age-related workload difference. Data were collected from 40 drivers who drove in a real car under actual road conditions. The experimental results showed that age influences driver workload while performing in-vehicle tasks.

Original languageEnglish
Pages (from-to)265-272
Number of pages8
JournalInternational Journal of Automotive Technology
Volume12
Issue number2
DOIs
StatePublished - Apr 2011

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT−This was supported in part by Daegu Gyeongbuk Institute of Science and Technology (DGIST), Research Program of the Ministry of Education Science and Technology (MEST) and Green Drive Research Program of the

Keywords

  • Distraction
  • Driving workload
  • Human vehicle interface (HVI)
  • In-vehicle information system (IVIS)
  • NASA task load index (TLX)
  • Older drivers

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