Efficacy of proxy definitions for identification of fatigue/sleep-related crashes: An Australian evaluation

Fatigue/sleepiness is recognised as an important contributory factor in fatal and serious injury road traffic incidents (RTIs), however, identifying fatigue/sleepiness as a causal factor remains an uncertain science. Within Australia attending police officers at a RTI report the causal factors; one option is fatigue/sleepiness. In some Australian jurisdictions police incident databases are subject to post hoc analysis using a proxy definition for fatigue/sleepiness. This secondary analysis identifies further RTIs caused by fatigue/sleepiness not initially identified by attending officers. The current study investigates the efficacy of such proxy definitions for attributing fatigue/sleepiness as a RTI causal factor. Over 1600 Australian drivers were surveyed regarding their experience and involvement in fatigue/sleep-related RTIs and near-misses during the past five years. Driving while fatigued/sleepy had been experienced by the majority of participants (66.0% of participants). Fatigue/sleep-related near misses were reported by 19.1% of participants, with 2.4% being involved in a fatigue/sleep-related RTI. Examination of the characteristics for the most recent event (either a near miss or crash) found that the largest proportion of incidents (28.0%) occurred when commuting to or from work, followed by social activities (25.1%), holiday travel (19.8%), or for work purposes (10.1%). The fatigue/sleep related RTI and near-miss experience of a representative sample of Australian drivers does not reflect the proxy definitions used for fatigue/sleepiness identification. In particular those RTIs that occur in urban areas and at slow speeds may not be identified. While important to have a strategy for identifying fatigue/sleepiness related RTIs proxy measures appear best suited to identifying specific subsets of such RTIs.     

Psychometric properties and factor analyses of the achievement motivation measure

ABSTRACT

The purpose of this study was to develop a theoretically-driven instrument of achievement motivation and determine its validation. The Achievement Motivation Measure (AMM) is closely aligned with Atkinson and McClelland's (1948, 1953, 1961) theoretical constructs of achievement thoughts and behaviours. Confirmatory and exploratory factor analysis (CFA and EFA) methods evaluated the structural validity of a newly developed instrument, the AMM, by assessing achievement thoughts and behaviours. Participants included 632 graduate and undergraduate university students. EFA supported two factors (Achievement Thoughts and Achievement Behaviours) with 13 items. Findings of a CFA supported the modified two-factor model as fitting the data. The theoretically supported AMM effectively measured achievement motivation by assessing achievement thoughts and behaviours.     

Do animals dream?

The understanding of biological functions of sleep has improved recently, including an understanding of the deep evolutionary roots of sleep among animals. However, dreaming as an element of sleep may be particularly difficult to address in non-human animals because in humans dreaming involves a non-wakeful form of awareness typically identified through verbal report. Here, we argue that parallels that exist between the phenomenology, physiology, and sleep behaviors during human dreaming provide an avenue to investigate dreaming in non-human animals. We review three alternative measurements of human dreaming – neural correlates of dreaming, ‘replay’ of newly-acquired memories, and dream-enacting behaviors – and consider how these may be applied to non-human animal models. We suggest that while animals close in brain structure to humans (such as mammals and birds) may be optimal models for the first two of these measurements, cephalopods, especially octopuses, may be particularly good candidates for the third.     

Driving on familiar roads: Automaticity and inattention blindness

This paper describes our research into the processes that govern driver attention and behavior in familiar, well-practiced situations. The experiment examined the effects of extended practice on inattention blindness and detection of changes to the driving environment in a high-fidelity driving simulator. Participants were paid to drive a simulated road regularly over 3 months of testing. A range of measures, including detection task performance and driving performance, were collected over the course of 20 sessions. Performance from a yoked Control Group who experienced the same road scenarios in a single session was also measured. The data showed changes in what drivers reported noticing indicative of inattention blindness, and declining ratings of mental demand suggesting that many participants were “driving without awareness”. Extended practice also resulted in increased sensitivity for detecting changes to road features associated with vehicle guidance and improved performance on an embedded vehicle detection task (detection of a specific vehicle type). The data provide new light on a “tandem model” of driver behavior that includes both explicit and implicit processes involved in driving performance. The findings also suggest reasons drivers are most likely to crash at locations very near their homes.     

Improving drivers’ eye fixation using accident scenes of the HazardTouch driver-training tool

This study investigated the effect of a driver-training tool that uses “HazardTouch” software and videos of actual accidents on drivers’ eye fixation through a tablet device (iPad). Drivers’ eye fixation of a video of a car passing thirteen intersections without signals was measured before and after training, using an eye-mark recorder. Three training exposures of four scenes using HazardTouch improved drivers’ eye fixation on the stimulus movie. In particular, the first fixation on the edge of the blind spot at intersections appeared significantly sooner after training. Moreover, fixation frequency for this blind spot increased significantly at post-training. These results suggest that the proposed driver-training tool effectively improves eye-fixation behavior in drivers and may prevent accidents.     

Novel use of a virtual driving assessment to classify driver skill at the time of licensure

Motor vehicle crash rates are highest immediately after licensure, and driver error is one of the leading causes. Yet, few studies have quantified driving skills at the time of licensure, making it difficult to identify at-risk drivers before independent driving. Using data from a virtual driving assessment implemented into the licensing workflow in Ohio, this study presents the first population-level study classifying degree of skill at the time of licensure and validating these against a measure of on-road performance: license exam outcomes. Principal component and cluster analysis of 33,249 virtual driving assessments identified 20 Skill Clusters that were then grouped into 4 major summary “Driving Classes”; i) No Issues (i.e. careful and skilled drivers); ii) Minor Issues (i.e. an average new driver with minor vehicle control skill deficits); iii) Major Issues (i.e. drivers with more control issues and who take more risks); and iv) Major Issues with Aggression (i.e. drivers with even more control issues and more reckless and risk-taking behavior). Category labels were determined based on patterns of VDA skill deficits alone (i.e. agnostic of the license examination outcome). These Skill Clusters and Driving Classes had different distributions by sex and age, reflecting age-related licensing policies (i.e. those under 18 and subject to GDL and driver education and training), and were differentially associated with subsequent performance on the on-road licensing examination (showing criterion validity). The No Issues and Minor Issues classes had lower than average odds of failing, and the other two more problematic Driving Classes had higher odds of failing. Thus, this study showed that license applicants can be classified based on their driving skills at the time of licensure. Future studies will validate these Skill Cluster classes in relation to their prediction of post-licensure crash outcomes.     

Parents’ observed responses to children’s emotional distress: Relations with social competence in preschool

Although affective interactions in the family are important for development, home observational data are sparse. We replicated and extended one such study, Roberts & Strayer (1987, Developmental Psychology, 23, 415). Interactions in 33 two-parent families (mean child age = 4.8 years; 48% girls) were observed for four evenings, from suppertime until the child settled for the night. Parents completed the Child Rearing Practices Q-sort. Peer interactions and friendship networks in preschool were observed over four days. Teachers and observers completed the Preschool Behavior Q-Sort. Based on Q-rated peer competence and aggression, three expected groups of children were identified, one of them high on both aggression and peer competence. Although socially active and accepted by peers, they were, compared with other children, less cooperative with adults, less prosocial with peers, more impulsive, less achievement oriented, less purposive, and less happy (mean η² = .52). Parenting, especially observed impatience, threats, and use of force when children were emotionally distressed, showed important differences across groups.     

Trajectories of public psycho-behavioural responses relating to influenza A(H7N9) over the winter of 2014-15 in Hong Kong

Objective: To explore trajectories of public psycho-behavioural responses over one influenza A(H7N9) epidemic wave, and examine the interplays among social norm influence, disease worry and protective behaviours.

Methods: Participants were 464 adults who completed the baseline and at least two follow-up assessments on their H7N9-related Perceived Susceptibility, Perceived Severity, Perceived Efficacy, Worry, Social Norms influence and Protective Behaviours in a five-phase longitudinal survey over one H7N9 epidemic wave. Latent growth modelling (LGM) identified trajectories of these psycho-behavioural responses while multi-process LGM examined the inter-relationships among trajectories of Social Norms influence, Worry and Protective Behaviours.

Results: Trajectories of Perceived Susceptibility, Worry, Social Norms and Protective Behaviours increased initially but declined as the epidemic decayed, while Perceived Severity increased linearly and Perceived Efficacy remained stable across the epidemic. Change in Social Norms influence was significantly associated with change in Worry (β?=?0.65) which was significantly associated with change in Protective Behaviours (β?=?0.62).

Conclusion: The public’s threat appraisal but not efficacy appraisal may have been well-informed by epidemic-related information. Social Norms may be important contributors of public emotional response to an epidemic. Communication via social networks during an epidemic could be important for regulating public emotional response and guiding their behavioural change.     

Driver fatigue among military truck drivers

The Israeli Defense Force (IDF) Transport Center is the largest and the most diverse transportation organization in Israel: three times as large as the largest commercial fleet in Israel, and military bases are spread all over the country. It also has the ability to regulate the drivers better: enforcing diet, hours of sleep, and working hours. The drivers are either permanently employed civilians, career service personnel, or mandatory service personnel. This employment status correlates with age, experience, carrier type, and several job characteristics (for example mandatory service drivers typically do not drive at night).The study consisted of a survey of 314 male drivers (30% of the entire base driver population). Despite the different environment, the military drivers display many characteristics and coping-behaviors characteristic of civilian drivers. Our results cast a doubt on the efficacy of enforcing night sleep and prohibiting night drives as an alternative to regulating hours of service. Our findings also reveal that it is insufficient to provide drivers with the time to sleep. One has to ensure that they also get a good quality of sleep. Implications for reducing fatigue in this environment are suggested. We identified the mandatory service drivers (young, less experienced drivers, lower military ranks) as a group of drivers that falls asleep more often and to a greater extent. They are particularly sensitive to sleep deficits and influenced by external events such as aggravation and boredom.It is important to provide drivers with more in-vehicle, accessible countermeasures to counter fatigue since they often do not stop, particularly in short-haul conditions. Since the radio has a high level of usage and acceptance among drivers, it could be exploited as an interactive communications system, as an educational medium, and as an image-enhancing device.