Simon Hosking

The effects of text messaging on young drivers

Objective: This study investigated the effects of using a cell phone to retrieve and send text messages on the driving performance of young novice drivers. Background: Young drivers are particularly susceptible to driver distraction and have an increased risk of distraction-related crashes. Distractions from in-vehicle devices, particularly, those that require manual input, are known to cause decrements in driving performance. Method: Twenty young novice drivers used a cell phone to retrieve and send text messages while driving a simulator. Results: The amount of time that drivers spent not looking at the road when text messaging was up to ~400% greater than that recorded in baseline (no-text-messaging) conditions. Furthermore, drivers’ variability in lane position increased up to ~50%, and missed lane changes increased 140%. There was also an increase of up to ~150% in drivers’ variability in following distances to lead vehicles. Conclusion: Previous research has shown that the risk of crashing while dialing a handheld device, such as when text messaging and driving, is more than double that of conversing on a cell phone. The present study has identified the detrimental effects of text messaging on driving performance that may underlie such increased crash risk. Application: More effective road safety measures are needed to prevent and mitigate the adverse effects on driving performance of using cell phones to retrieve and send text messages.

Predicting driver drowsiness using vehicle measures: recent insights and future challenges.

INTRODUCTION Driver drowsiness is a significant contributing factor to road crashes. One approach to tackling this issue is to develop technological countermeasures for detecting driver drowsiness, so that a driver can be warned before a crash occurs. METHOD The goal of this review is to assess, given the current state of knowledge, whether vehicle measures can be used to reliably predict drowsiness in real time. RESULTS Several behavioral experiments have shown that drowsiness can have a serious impact on driving performance in controlled, experimental settings. However, most of those studies have investigated simple functions of performance (such as standard deviation of lane position) and results are often reported as averages across drivers, and across time. CONCLUSIONS Further research is necessary to examine more complex functions, as well as individual differences between drivers. IMPACT ON INDUSTRY A successful countermeasure for predicting driver drowsiness will probably require the setting of multiple criteria, and the use of multiple measures.

The visual search patterns and hazard responses of experienced and inexperienced motorcycle riders

Hazard perception is a critical skill for road users. In this study, an open-loop motorcycle simulator was used to examine the effects of motorcycle riding and car driving experience on hazard perception and visual scanning patterns. Three groups of participants were tested: experienced motorcycle riders who were experienced drivers (EM-ED), inexperienced riders/experienced drivers (IM-ED), and inexperienced riders/inexperienced drivers (IM-ID). Participants were asked to search for hazards in simulated scenarios, and click a response button when a hazard was identified. The results revealed a significant monotonic decrease in hazard response times as experience increased from IM-ID to IM-ED to EM-ED. Compared to the IM-ID group, both the EM-ED and IM-ED groups exhibited more flexible visual scanning patterns that were sensitive to the presence of hazards. These results point to the potential benefit of training hazard perception and visual scanning in motorcycle riders, as has been successfully demonstrated in previous studies with car drivers.