A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?

Michon, John A.

doi:10.1007/978-1-4613-2173-6_19

Cited by 905 publications

(833 citation statements)

References 43 publications

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“…Moving from a controlled response, which requires access to declarative knowledge, to automaticity reduces effort and attentional demand (Logan, 1988). Some components of driving are a good example of this process; gear changing is considered to be an automated task (Baddeley, 2006;Michon, 1985). For a novice driver, gear changing is slower than for expert drivers (Duncan, Williams and Brown, 1991) and becomes automated after sufficient practice.…”

Section: Introductionmentioning

confidence: 99%

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Jamson

Hibberd

Jamson

2015

Transportation Research Part C: Emerging Technologies

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Whilst driving is inherently a safety critical task, awareness of fuel efficient driving techniques has gained popularity in both the public and commercial domains. Green driving, whether motivated by financial or environmental savings, has the potential to reduce the production of greenhouse gases by a significant amount. This paper focusses on the interaction between the driver and their vehicle -what type of eco driving information is easy to use and learn whilst not compromising safety. A simulator study evaluated both visual and haptic eco driving feedback systems in the context of hill driving. The ability of drivers to accurately follow the advice, as well as their propensity to prioritise it over safe driving was investigated. We found that any type of eco driving advice improved performance and whilst continuous real time visual feedback proved to be the most effective, this modality obviously reduces attention to the forward view and increases subjective workload. On the other hand, the haptic force system had little effect on reported workload, but was less effective that the visual system. A compromise may be a hybrid system that adapts to drivers' performance on an on going basis.

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Section: Introductionmentioning

confidence: 99%

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Jamson

Hibberd

Jamson

2015

Transportation Research Part C: Emerging Technologies

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“…The highway scenario involved assessing automated driving performances such as SDLP and speed; the other two scenarios implied more complex driving performances and controlled processing (Michon, 1985).…”

Section: Discussionmentioning

confidence: 99%

Effects of alcohol on automated and controlled driving performances

Berthelon¹,

Gineyt²

2013

Psychopharmacology

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Rationale: Alcohol is the most frequently detected substance in fatal automobile crashes, but its precise mode of action is not always clear.Objective: The present study was designed to establish the influence of blood alcohol concentration as a function of the complexity of the scenarios. Road scenarios implying automatic or controlled driving performances were manipulated in order to identify which behavioral parameters were deteriorated.Method: A single blind counterbalanced experiment was conducted on a driving simulator. Conclusion:Performance decrement was greater with driving scenarios involving automated processes than with scenarios involving controlled processes.

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“…In this wider, clinical context it is useful to move beyond the information processing view of driving and to use the hierarchical model developed by Michon (1985), which considers driving as an activity entailing three hierarchical levels of behaviour. The basic capacities and skills required for vehicle control are at the bottom, 'operational' level; performance at this level is typically highly automated, demanding relatively few attentional resources.…”

Section: Evaluating Driver Requirementsmentioning

confidence: 99%