Naturalistic driving research shows that drivers spend vast amounts of time engaging in secondary, non-driving tasks. Laboratory and simulation studies have demonstrated that, when engaging in a secondary task, drivers adopt strategies to interrupt, delay and resume the secondary task in order to manage their workload and risk. However, there is very little knowledge of the time-sharing strategies that drivers adopt for interweaving their attention across multiple tasks in real-world driving. This study examined the nature of observable visual and/or manual secondary task interruptions in real-word driving using naturalistic driving data. Video of 186 randomly selected trips from the Australian Naturalistic Driving Study were viewed to iden...
This paper examines the effects of an eco-driving message on driver distraction. Two in-vehicle dist...
Visual-manual phone tasks (i.e., texting, dialing, reading) are associated with an increased crash r...
It is becoming increasingly important to understand how drivers strategically manage tasks ...
Using data from the Australian Naturalistic Driving Study (ANDS), this study examined patterns of se...
Distraction is detrimental to traffic safety. This thesis provides insights into distracted driving ...
This study used data from the Australian Naturalistic Driving Study to study driver engagement in se...
This study used data from the Australian Naturalistic Driving Study to study driver engagement in se...
Introduction: Driver distraction has been recognized for a long time as a significant road safety is...
Increased levels of automation in driving can reduce drivers’ situation-awareness and cause erratic ...
Using naturalistic driving data, this study explored the prevalence of engagement in secondary tasks...
On the basis of naturalistic driving data, this study examined the prevalence of secondary task enga...
In UDRIVE, the major focus of the work on driver inattention and distraction has been focused on obt...
The effects of different forms of driver distraction on driving distracting activities, however, is...
Naturalistic driving studies show that drivers engaged in complex visual-manual tasks face an increa...
Automated driving raises new human factors challenges. There is a paradox that allows drivers to per...
This paper examines the effects of an eco-driving message on driver distraction. Two in-vehicle dist...
Visual-manual phone tasks (i.e., texting, dialing, reading) are associated with an increased crash r...
It is becoming increasingly important to understand how drivers strategically manage tasks ...
Using data from the Australian Naturalistic Driving Study (ANDS), this study examined patterns of se...
Distraction is detrimental to traffic safety. This thesis provides insights into distracted driving ...
This study used data from the Australian Naturalistic Driving Study to study driver engagement in se...
This study used data from the Australian Naturalistic Driving Study to study driver engagement in se...
Introduction: Driver distraction has been recognized for a long time as a significant road safety is...
Increased levels of automation in driving can reduce drivers’ situation-awareness and cause erratic ...
Using naturalistic driving data, this study explored the prevalence of engagement in secondary tasks...
On the basis of naturalistic driving data, this study examined the prevalence of secondary task enga...
In UDRIVE, the major focus of the work on driver inattention and distraction has been focused on obt...
The effects of different forms of driver distraction on driving distracting activities, however, is...
Naturalistic driving studies show that drivers engaged in complex visual-manual tasks face an increa...
Automated driving raises new human factors challenges. There is a paradox that allows drivers to per...
This paper examines the effects of an eco-driving message on driver distraction. Two in-vehicle dist...
Visual-manual phone tasks (i.e., texting, dialing, reading) are associated with an increased crash r...
It is becoming increasingly important to understand how drivers strategically manage tasks ...