The Inconsolable Doll Task: Prenatal coparenting behavioral dynamics under stress predicting child cognitive development at 18 months

Studies have demonstrated that coparenting can be assessed prenatally through playful observational conditions, including simulated baby enactments. Regrettably, there is a lack of empirical research examining how prenatal coparenting under the emotional stress elicited by the distress of a simulated infant predicts children’s cognitive development. The current longitudinal study introduces a novel procedure—the Inconsolable Doll Task—to assess prenatal coparenting behavioral dynamics under the stress of a non-responsive doll simulator, and examines the extent to which prenatal interaction patterns predict the child’s cognitive development at 18 months. The sample consists of 105 community-based, co-living, expectant fathers and mothers. Data were collected prenatally, at three, six, and 18 months in home and lab visits. Results indicate that the prenatal coparenting dynamic of negative escalation explains a unique variance in children’s cognitive development at 18 months. This effect is evident even when accounting for both prenatal and postnatal assessments of low-stress coparenting behavioral patterns or self-reported coparenting perceptions, and when controlling for parental education. These findings are discussed in terms of their methodical, empirical, and clinical implications.     

Influence of speed-related auditory feedback on braking in a 3D-driving simulator

Although discrete auditory stimuli have been found useful for emergency braking, the role of continuous speed-related auditory feedback has not been investigated yet. This point may though be of importance in electric vehicles in which acoustic cues are drastically changed. The present study addressed this question through two experiments. In experiment 1, 12 usual drivers were exposed to naturalistic auditory feedback mimicking those issued from electric cars, while facing dynamic visual scenes in a 3D driving simulator. After being passively travelled up to a sustained constant speed, subjects had to stop their car in front of a traffic light that unexpectedly turned to red. Modifications of the speed-related auditory feedback did not impact braking initiation and regulation. In experiment 2, synthesized auditory feedback based on the Shepard-Risset glissando was provided to a new sample of 15 usual drivers in the same task. Pitch variations of this acoustic stimulus, although not scaled to an absolute speed, were manipulated as a function of visual speed changes. Changing the mapping between pitch variations of the synthesized auditory feedback and visual speed changes induced adjustments on braking which depended on acceleration/deceleration feedback. These findings stressed the importance of the acoustic content and its dynamics for car speed control.     

Saccadic peak velocity as an alternative index of operator attention: A short review

IntroductionAutomation research has identified the need to monitor operator attentional states in real time as a basis for determining the most appropriate type and level of automated assistance for operators doing complex tasks.ObjectiveThe development of a methodology that is able to detect on-line operator attentional state variations could represent a good starting point to solve this critical issue.ResultsWe present a short review of the literature on different indices of attentional state and discuss a series of experiments that demonstrates the validity and sensitivity of a specific eye movement index: saccadic peak velocity (PV). PV was able to detect variations in mental state while doing complex and ecological tasks, ranging from air traffic control simulated tasks to driving simulator sessions.ConclusionThis research could provide several guidelines for designing adaptive systems (able to allocate tasks between operators and machine in a dynamic way) and early fatigue-and-distraction warning systems to reduce accident risk.     

Driven to distraction? The effect of simulated red light running camera flashes on attention and oculomotor control

Do similar factors influence the allocation of attention in visually sparse and abstract laboratory paradigms and complex real-world scenes? To explore this question we conducted a series of experiments that examined whether the flash that accompanies a Red Light Running Camera (RLRC) can capture observers' attention away from important roadway changes. Inhibition of Return (IOR) and eye movement direction served as indices of the spatial allocation of attention. In two experiments, participants were slower to respond to the brake lights of a vehicle in a driving scene when an RLRC flash occurred nearby or were slower to initiate eye movements to brake light signals (IOR effects). In a third experiment, we found evidence that less prevalent RLRC flashes disrupted eye movement control. Results suggest that attention can be misdirected as a result of RLRC flashes and provide additional evidence that findings from simple laboratory paradigms can predict the allocation of attention in complex settings that are more familiar to observers.     

An examination of the relationships between cannabis use,driving under the influence of cannabis and risk-taking on the road

IntroductionSome studies have suggested that regular cannabis users appear to exhibit a general reckless driving style that may contribute to an inflated estimate of collisions related to driving under the influence of cannabis (DUIC) among this group.ObjectiveThis study investigated whether patterns of cannabis use would predict levels of self-reported unsafe driving behaviours and levels of performance observed in a driving simulator.MethodThe study investigated 48 young cannabis users with respect to frequency of cannabis consumption, alcohol use, driving exposure, self-reported dangerous driving habits, impulsivity, sensation seeking and performance in a driving simulator.ResultsCannabis use was positively associated with DUIC, with sensation seeking and with self-reports of risky driving. An ANOVA confirmed a significant effect of levels of consumption of cannabis among participants on self-report risk-taking in driving. Moreover, the observed behaviours during the simulation tasks correlated with risky driving habits, and with the self-reported frequency of driving in the hour following smoking cannabis or immediately after drinking alcohol.ConclusionSince cannabis usage and DUIC appear to be related to an overall reckless style of driving, it is proposed that public safety policies should be more holistic, simultaneously targeting multiple on-road dangerous behaviours for intervention.     

Can sleep habits predict driver behaviour?

IntroductionThe role of sleep hygiene (those factors that promote or disrupt effective sleep) on human performance was examined.ObjectiveThe study investigated the relationship between sleep hygiene and crash involvement.MethodMeasures of sleep hygiene and crash involvement were considered for a sample of over 6000 drivers.ResultsIt was found that poorer sleep hygiene was associated with younger age and greater crash involvement. The association between sleep hygiene and crash involvement remained when age and risk taking had been taken into account.ConclusionPoor sleep hygiene is associated with poorer performance as measured by crash involvement.     

Does the effect of traffic calming measures endure over time? – A simulator study on the influence of gates

Accident statistics show that transitions from rural to urban areas are accident prone locations. Inappropriate speed and mental underload have been identified as important causal factors nearby such transitions. A variety of traffic calming measures (TCM) near rural–urban transitions has been tested in field experiments and driving simulator studies. Simulator experiments repeatedly exposing participants to the same treatment are scarce, hence it is unclear to what extent the effects of a TCM endure over time.This is precisely the objective of the current study: to examine what happens with the behavior of drivers when they are exposed multiple times to the same treatment (in this case a gate construction located at a rural–urban transition). Over a period of five successive days, seventeen participants completed a 17 km test-drive on a driving simulator with two thoroughfare configurations (gates present or absent) in a within-subject design. Results indicate that gates induced a local speed reduction that sustained over this five-day period. Even though participants were inclined to accelerate again once passed by this gate configuration, they always kept driving at an appropriate speed. We did not find any negative side effects on SD of acceleration/deceleration or SDLP.Overall we conclude that gate constructions have the potential to improve traffic safety in the direct vicinity of rural–urban transitions, even if drivers are repeatedly exposed. Notwithstanding, we advise policy makers to appropriately use this measure. Best is to always carefully consider the broader situational context (such as whether the road serves a traffic- rather than a residential function) of each particular location where the implementation of a gate construction is one of the options.     

Car following with an inertia-oriented driving technique: A driving simulator experiment

BackgroundFor many decades, car-following (CF) and congestion models have assumed a basic invariance: drivers’ default driving strategy is to keep the safety distance. The present study questions that Driving to keep Distance (DD) is a traffic invariance and, therefore, that the difference between the time required to accelerate versus decelerate must necessarily determine the observed patterns of traffic oscillations. Previous studies have shown that drivers can adopt alternative CF strategies like Driving to keep Inertia (DI) by following basic instructions. The present work aims to test the effectiveness of a DI course that integrates 4 tutorials and 4 practice sessions in a standard PC computer designed to learn more adaptive driving behaviors in dense traffic. Methods. Sixty-eight drivers were invited to follow a leading car that varied its speed on a driving simulator, then they took a DI course on a PC computer, and finally they followed a fluctuating leader again on the driving simulator. The study adopted a pretest-intervention-posttest design with a control group. The experimental group took the full DI course (tutorials and then simulator practice). The control group had access to the DI simulator but not to the tutorials. Results. All participating drivers adopted DD as the default CF mode on the pre-test, yielding very similar results. But after taking the full DI course, the experimental group showed significantly less accelerations, decelerations, and speed variability than the control group, and required greater CF distance, that was dynamically adjusted, spending less fuel in the post-test. A group of 8 virtual cars adopting DD required less space on the road to follow the drivers that took the DI course.     

Improved driver behaviour at bus stops on local roads: Comparison of different treatments

Every day, millions of students use school bus as a mean of transportation to and from schools. Nevertheless, most of the school bus related crashes occur at or near bus stops. The overtaking of stopped school buses during boarding and alighting of students imposes safety risks on students and drivers. This study aims to investigate the impact of three different treatments on driving behavior at bus stops. In total, this study compared four different conditions. Three of them were treatment conditions namely (Red Pavement, Road Narrowing, and smart LED), which were compared with a control condition (i.e., the default bus stop layout without any additional treatments as implemented in the State of Qatar). Each condition was tested for three situations. Situation 1 and Situation 2 were designed with the presence of a stopped school bus on the same and on the opposite travel directions, respectively, while, Situation 3 was designed without any school bus at the bus stop location. A total of 72 subjects participated in the experiment. Generalized Linear Mixed Model (GLMM) was employed to study the impact of several factors on the overtaking/crossing probability of the stopped school bus. In Situation 1, Road_narrowing condition outperformed the other conditions by making 94.3 % of drivers to stop for the bus, while in Situation 2, LED condition performed best by making 48.6 % of drivers stop for the bus that is stopped at the opposite travel direction. Moreover, the LED and Road_narrowing treatments were effective in moderating drivers’ speed behavior, lowering their traveling speed by 5.16 km/h and 5.11 km/h, respectively even in the absence of any bus at the bus stop. Physical road narrowing condition outperformed the other tested conditions, and therefore, can be recommended as a low-cost treatment to improve safety at bus stops. In locations where the implementation of physical road narrowing is not feasible, LED treatment can be used to moderate driver traveling speed and stopping behavior.     

New parents and driver safety: What’s sleep got to do with it? A systematic review

Fatigue-related motor vehicle crashes are common worldwide and have been addressed by a range of road safety campaigns. These campaigns are typically directed towards at-risk groups (e.g., heavy vehicle drivers), who may be likely to experience fatigue resulting from reduced or disrupted sleep opportunities. Another population likely to experience sleep loss and disruption is new parents. The sleep of new parents is likely to be significantly disrupted by childcare responsibilities. As such, new parents may also be likely to experience fatigue while driving. A systematic review of five databases (PubMed, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, EMBASE, and the Cochrane Central Register of Controlled Trials) was performed to identify what research is currently available on sleep, fatigue, and driving in new parents. A total of twelve documents were included in this review. A synthesis of findings suggests new parents are at risk of fatigued driving – though the amount and quality of evidence available is limited. A research agenda is proposed to address the limitations of this field of research.