The safety performance of connected vehicles on slippery horizontal curves through enhancing truck drivers’ situational awareness: A driving simulator experiment

Although drivers can adequately adjust their operating speed according to the road curvature, they show a lack of recognition regarding the pavement friction conditions. In this regard, inappropriate speed selection on Horizontal Curves (HCs) with reduced surface friction can lead to a remarkable rate of run-off-road, sideswipe, head-on, and rollover crashes, especially on rural highways. Aligned with the Connected Vehicle (CV) Pilot Program on Interstate-80 in Wyoming, this study scrutinizes how CV advisory/warning messages can enhance traffic safety on slippery HCs. To this aim, a roadway consists of two HCs with regular and slippery pavement conditions was designed in a high-fidelity driving simulator experiment. A total of 24 professional truck drivers were recruited to drive the simulated roadway under CV and non-CV environments. In the CV scenario, drivers were informed about the pavement conditions and the advisory speeds before entering HCs. In contrast, no messages were given to non-CV drivers. Truck drivers' behaviors in both scenarios were quantified using four Kinematic-based Surrogate Measures of Safety (K-SMoS), including deviation from the pathway, instantaneous acceleration, lateral speed, and steering angle. CVs’ trajectories were statistically compared to non-CVs in terms of the central tendency and dispersion using the Wilcoxon Signed-Rank Test (WSRT) and Median Absolute Deviation (MAD), respectively. The results of WSRT depicted, under the effect of CV advisory/warning messages and throughout the slippery HC, the central tendency of four K-SMoS could be shifted toward zero by 23% up to 99%. This shifting is associated with a significant safety enhancement that potentially can reduce the likelihood of curve-related crashes on slippery HCs. It was revealed that the variation in drivers’ behavior on the slippery HC could be minimized in the CV environment, where 54% up to 95% reduction in the dispersions of four K-SMoS were observed, leading to more certainty in drivers’ behavior.     

Academic self perceptions in a national Danish sample: Predictive power and development from grade 4 to 9

Research on students’ understandings of their academic performance often faces limits with respect to sample diversity, statistical power, breadth of participant information, and ability to continuously track the development of participants. Government registry data do not face such limitations. We validate a brief measure of academic self-perceptions contained within the Danish Well-Being Survey, a self-report measure administered annually to all Danish public-school students (grades 4 through 9) and linked with rich registry data regarding these students, their families, schools, and communities. We then perform exceptionally well-powered analyses of the influence of academic self-perceptions on the pursuit of further academically-intensive education (N = 35,227) and of the development of academic self-perceptions during late childhood and adolescence (N = 284,024).     

Challenges to addressing student mental health in embedded counselling services: a survey of UK higher and further education institutions

With reports continually demonstrating increased demand and severity of student mental health needs, it is important to gain a fuller understanding of the impact on embedded student counselling services. The aims of this research were to identify (a) service similarities, (b) factors which impact on services, (c) characteristics of service users, and (d) the use of therapeutic technology (e.g. online self-help). An online survey was completed by 113 heads of UK student counselling services across Higher Education (HE), Further Education (FE), and Sixth Form Colleges (SFCs), to capture service data from the academic year 2013/14. Students predominantly received high-intensity support (e.g. counselling) and referrals increased over 3 years. Challenges to embedded counselling services and their implications for development are discussed.     

Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability

Understanding individual differences in cognitive performance is an important part of understanding how variations in underlying cognitive processes can result in variations in task performance. However, the exploration of individual differences in the components of the decision process—such as cognitive processing speed, response caution, and motor execution speed—in previous research has been limited. Here, we assess the heritability of the components of the decision process, with heritability having been a common aspect of individual differences research within other areas of cognition. Importantly, a limitation of previous work on cognitive heritability is the underlying assumption that variability in response times solely reflects variability in the speed of cognitive processing. This assumption has been problematic in other domains, due to the confounding effects of caution and motor execution speed on observed response times. We extend a cognitive model of decision‐making to account for relatedness structure in a twin study paradigm. This approach can separately quantify different contributions to the heritability of response time. Using data from the Human Connectome Project, we find strong evidence for the heritability of response caution, and more ambiguous evidence for the heritability of cognitive processing speed and motor execution speed. Our study suggests that the assumption made in previous studies—that the heritability of cognitive ability is based on cognitive processing speed—may be incorrect. More generally, our methodology provides a useful avenue for future research in complex data that aims to analyze cognitive traits across different sources of related data, whether the relation is between people, tasks, experimental phases, or methods of measurement.     

Sample size determination for a matched-pairs study with incomplete data using exact approach

This research was motivated by a clinical trial design for a cognitive study. The pilot study was a matched-pairs design where some data are missing, specifically the missing data coming at the end of the study. Existing approaches to determine sample size are all based on asymptotic approaches (e.g., the generalized estimating equation (GEE) approach). When the sample size in a clinical trial is small to medium, these asymptotic approaches may not be appropriate for use due to the unsatisfactory Type I and II error rates. For this reason, we consider the exact unconditional approach to compute the sample size for a matched-pairs study with incomplete data. Recommendations are made for each possible missingness pattern by comparing the exact sample sizes based on three commonly used test statistics, with the existing sample size calculation based on the GEE approach. An example from a real surgeon-reviewers study is used to illustrate the application of the exact sample size calculation in study designs.     

Family-Involved Mental Health Care Among OEF/OIF Veterans With and Without PTSD Using VHA Administrative Records

Prior research indicates that veterans are interested in including family members in health care and that family-inclusive mental health treatment can improve treatment outcomes. Consequently, the Veterans Health Administration’s (VHA) directive requires providers to offer family-inclusive mental health services to veterans. However, the extent to which veterans engage in family-inclusive mental health services at the VHA remains unclear. Using data from a longitudinal registry of male and female veterans with and without posttraumatic stress disorder, we examined the extent to which veterans included family members in their mental health care and predictors of engagement in family-involved therapy visits using VHA administrative records over a 5-year time span. Of the 1,329 veterans who received mental health care during the study, 8.4% received a family therapy visit—the number of visits per veteran ranged from 1 to 34. Results from logistic regressions indicate that relative to White veterans, Black veterans were 61.0% less likely to receive a family-involved therapy visit. Married veterans or veterans living with a partner, and veterans with poor romantic relationship functioning, were more likely to receive a family-involved therapy visit. These findings indicate that only a small percentage of veterans received a family therapy visit across 5 years. Efforts to understand barriers to family-involved therapy visits and strategies to increase engagement in family-involved visits may improve clinical outcomes and promote patient-centered care.     

Evaluation of two short-term stress interventions in the context of mobility

ObjectivesIn our lives we experience different types of stress that emanate from a variety of situations. This stress can potentially spill over into unrelated situations, including the operation of a vehicle in a safe manner. It is not well known which types of countermeasures can actually mitigate such stress during driving. For this purpose, one needs valid stress intervention methods for the different types of stress that commonly occur during driving. In this study, it was therefore evaluated whether or not two stress interventions were effective in reducing stress. These two stress interventions were Positive Psychology–i.e., being an activity to reflect about thankful moments–and Biofeedback–i.e., being an activity aimed at continued relaxation based on the display of the participants own stress level.MethodsA study with 41 (n = 21 male) participants was conducted in a stationary vehicle to evaluate the effectiveness of Positive Psychology and Biofeedback on stress reduction. Stress was induced using the Stroop Task. During a Stroop Task high stress is caused by naming color words displayed in another, incongruent color. In the Baseline Condition, participants looked at neutral images, which were expected to have no effect on stress levels. These conditions were then compared.FindingsThe results revealed that participant stress levels were significantly higher during each stress induction period in comparison to each stress intervention period. This indicated that a reduction of stress is possible by administering stress interventions in a stationary setting. Yet, there was no difference between Positive Psychology, Biofeedback, and the Baseline Condition, supposedly due to the short administration, stress-reducing attributes of the Baseline Condition itself, or regression to the mean effects.NoveltyThe overall goal of this research is the development of stress interventions to target different types of stress that can occur in the context of mobility, an application context not yet investigated. These interventions are expected to improve well-being and safety inside the vehicle by improving concentration, attention, and psychomotor control, which can be reduced by high stress. The study took a first step to achieve this goal by developing and evaluating Positive Psychology and Biofeedback as stress intervention activities to mitigate stress in a stationary vehicle–a situation comparable to automated driving. The developed interventions showed stress-reducing effects in the stationary setting whereas looking at neutral pictures–although serving as the baseline–was similarly stress-reducing. This enables the next step–adding the task of manual driving to the interventions to look into both the effectiveness of the interventions during manual driving and driving safety at the same time.     

引入眼动注视点的联合-交叉负载多模态认知诊断建模

多模态数据为实现对认知结构的精准诊断及其他认知特征(如, 认知风格)的全面反馈提供了可能性。为实现对题目作答精度、作答时间(RT)和视觉注视点数(FC)的联合分析, 本文基于联合-交叉负载建模法提出3个多模态认知诊断模型。实证研究及模拟研究结果表明: (1)联合分析比分离分析更适用于多模态数据; (2)新模型可直接利用RT和FC中信息提高潜在能力或潜在属性的估计准确性; (3)新模型的参数估计返真性较好; (4)忽略交叉负载所导致的负面结果比冗余考虑交叉负载所导致的更严重。     

Recherche sur données : aspects juridiques et éthiques à travers l’expérience de l’hôpital Foch

Health data is the object of covetousness by many actors, of course by the healthcare industry, in particular the drug and medical device industry, by hospitals and research institutes, but also by all types of merchant companies which would like to derive substantial benefits from it. Faced with this phenomenon, the European Commission, within the framework of the replacement of the European Directive on health data of 1995, by the General Data Protection Regulation of 2016 (GDPR) has strengthened the protection of health data which is particularly sensitive data for everyone and, consequently, carrying out studies on health data. Researches that does not involve human beings, improperly called “Data studies”, are closely regulated by the GDPR and, for France, by the Data Protection Act, which has been amended accordingly. This article describes the steps to be taken for the implementation of data studies and what are the rights of participants/patients in the context of these researchs. Ethical vigilance would require that such research be reviewed by an ad hoc committee.     

基于过程数据的问题解决能力测量及数据分析方法

问题解决能力是指在没有明显解决方法的情况下个体从事认知加工以理解和解决问题情境的能力。对问题解决能力的测量需要借助相对更复杂、更真实、具有可交互性的问题情境来诱导问题解决行为的呈现。使用虚拟测评抓取问题解决的过程数据并分析其中所蕴含的潜在信息是当前心理计量学中测量问题解决能力的新趋势。首先, 回顾问题解决能力测量方式的发展：从纸笔测验到虚拟测评。然后, 总结对比两类过程数据的分析方法：统计建模法和数据挖掘法。最后, 从非认知因素的影响、多模态数据的利用、问题解决能力发展的测量、其他高阶思维能力的测量和问题解决能力概念及结构的界定五个方面展望未来可能的研究方向。