Mobile phone use – effects of conversation on mental workload and driving speed in rural and urban environments

Törnros, Jan; Bolling, Anne

doi:10.1016/j.trf.2006.01.008

Cited by 135 publications

(71 citation statements)

References 11 publications

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“…In addition, driving speed was reduced during conversation on a handheld device in all environments, but the effect on speed was less obvious when using a hands-free mode (Tornros & Bolling, 2006).…”

Section: Cell Phone Related Studies Of Distracted Drivingmentioning

confidence: 91%

The culture of distracted driving: Evidence from a public opinion survey in Iowa

Gkritza

Albrecht

2014

Transportation Research Part F: Traffic Psychology and Behaviou

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Section: Cell Phone Related Studies Of Distracted Drivingmentioning

confidence: 91%

The culture of distracted driving: Evidence from a public opinion survey in Iowa

Gkritza

Albrecht

2014

Transportation Research Part F: Traffic Psychology and Behaviou

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“…Strayer, Drews and Johnson (2003) report an exacerbation of the difference between single-and dual-task conditions by traffic density: participants were more often involved in a traffic accident while talking on a cell phone when the traffic density was high. Törnros and Bolling (2006) found performance in a peripheral detection task (PDT) to be remarkably poor in a complex urban environment, even when there was no engagement in a secondary task. Drivers' reduction of speed in this environment was seen as a compensatory measure caused by higher task demands.…”

Section: Situation Complexity As Intensifier Of Age Effectsmentioning

confidence: 99%

The influence of age on the take-over of vehicle control in highly automated driving

Körber

Gold

Lechner

et al. 2016

Transportation Research Part F: Traffic Psychology and Behaviou

198

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The growing proportion of older drivers in the population plays an increasingly relevant role in road traffic that is currently awaiting the introduction of automated vehicles. In this study, it was investigated how older drivers (≥ 60 years) compared to younger drivers (≤ 28 years) perform in a critical traffic event when driving highly automated. Conditions of the take-over situation were manipulated by adding a verbal non-driving task (20 questions task) and by variation of traffic density. Two age groups consisting of 36 younger and 36 older drivers drove either with or without a non-driving task on a six-lane highway. They encountered three situations with either no, medium or high traffic density where they had to regain vehicle control and evade an obstacle on the road. Older drivers reacted as fast as younger drivers, however, they differed in their modus operandi as they braked more often and more strongly and maintained a higher time-to-collision (TTC). Deterioration of take-over time and quality caused by increased traffic density and engagement in a non-driving task was on the same level for both age groups. Independent of the traffic density, there was a learning effect for both younger and older drivers in a way that the take-over time decreased, minimum TTC increased and maximum lateral acceleration decreased between the first and the last situation of the experiment. Results highlight that older drivers are able to solve critical traffic events as well as younger drivers, yet their modus operandi differs. Nevertheless, both age groups adapt to the experience of take-over situations in the same way.

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“…sending a text message compared to placing a call) may have an effect, both on driving performance and also a driver's willingness to engage with their phone. The main focus of research in this area has been around hands free and hand held calling ( [18], [15], [19] and [20]). However, there is a paucity of research regarding willingness to engage.…”

Section: Of How the Use Of That Device Interferes With Driving And Thmentioning

confidence: 99%

Drivers’ willingness to engage with their mobile phone: the influence of phone function and road demand

Hancox

Richardson

Morris

2013

IET Intelligent Transport Systems

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Mobile phone use – effects of conversation on mental workload and driving speed in rural and urban environments

Cited by 135 publications

References 11 publications

The culture of distracted driving: Evidence from a public opinion survey in Iowa

The culture of distracted driving: Evidence from a public opinion survey in Iowa

The influence of age on the take-over of vehicle control in highly automated driving

Drivers’ willingness to engage with their mobile phone: the influence of phone function and road demand

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