Literature DB >> 17558672

What's skill got to do with it? Vehicle automation and driver mental workload.

M S Young1, N A Stanton.   

Abstract

Previous research has found that vehicle automation systems can reduce driver mental workload, with implications for attentional resources that can be detrimental to performance. The present paper considers how the development of automaticity within the driving task may influence performance in underload situations. Driver skill and vehicle automation were manipulated in a driving simulator, with four levels of each variable. Mental workload was assessed using a secondary task measure and eye movements were recorded to infer attentional capacity. The effects of automation on driver mental workload were quite robust across skill levels, but the most intriguing findings were from the eye movement data. It was found that, with little exception, attentional capacity and mental workload were directly related at all levels of driver skill, consistent with earlier studies. The results are discussed with reference to applied theories of cognition and the design of automation.

Mesh:

Year:  2007        PMID: 17558672     DOI: 10.1080/00140130701318855

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  5 in total

1.  The possibility of determination of accuracy of performance just before the onset of a reaching task using movement-related cortical potentials.

Authors:  Satoshi Suzuki; Takemi Matsui; Yusuke Sakaguchi; Kazuhiro Ando; Nobuyuki Nishiuchi; Masayuki Ishihara
Journal:  Med Biol Eng Comput       Date:  2010-07-21       Impact factor: 2.602

2.  Driving into the sunset: supporting cognitive functioning in older drivers.

Authors:  Mark S Young; David Bunce
Journal:  J Aging Res       Date:  2011-05-25

3.  Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study.

Authors:  Christoph F Geissler; Jörn Schneider; Christian Frings
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

4.  Adaptive automation: automatically (dis)engaging automation during visually distracted driving.

Authors:  Christopher D D Cabrall; Nico M Janssen; Joost C F de Winter
Journal:  PeerJ Comput Sci       Date:  2018-10-01

Review 5.  The Application of Electroencephalogram in Driving Safety: Current Status and Future Prospects.

Authors:  Yong Peng; Qian Xu; Shuxiang Lin; Xinghua Wang; Guoliang Xiang; Shufang Huang; Honghao Zhang; Chaojie Fan
Journal:  Front Psychol       Date:  2022-07-22
  5 in total

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