How to identify the take-over criticality in conditionally automated driving? An examination using drivers’ physiological parameters and situational factors

Autonomous vehicles and advanced driver assistance technology are growing exponentially, and vehicles equipped with conditional automation, which has features like Traffic Jam Pilot and Highway Assist, are already available in the market. And this could expose the driver to a stressful driving condition during the takeover mission. To identify stressful takeover situations and better interact with automated systems, the relationship and effect between drivers’ physiological responses, situational factors (e.g., takeover request [TOR] lead time, takeover frequencies, and scenario types), and takeover criticality were investigated.34 participants were involved in a series of takeover events in a simulated driving environment, which are varied by different TOR lead time conditions and driving scenes. The situational factors, drivers’ skin conductance (SC), heart rate (HR), gaze behaviors, and takeover criticality ratings were collected and analyzed. The results indicated that drivers had a higher takeover criticality rating when they experienced a shorter TOR lead time level or at first to fourth take-overs. Besides, drivers who encountered a dynamic obstacle reported higher takeover criticality ratings when they were at the same Time to collision (TTC). We also observed that the takeover situations of higher criticality have larger driver’s maximum HR, mean pupil size, and maximum change in the SC (relative to the initial value of a takeover stage). Those findings of situational factors and physiological responses can provide additional support for the designing of adaptive alert systems and environmental soothing technology in conditionally automated driving, which will improve the takeover performances and drivers’ experience.     

现实场景典型空间位置关系客体的解码效应

通过探讨典型空间关系客体对中单个客体的视觉工作记忆,考察空间位置关系的解码特征和主动客体记忆优势。结果发现：（1）当客体以符合空间位置关系方式呈现时,记忆更准确;（2）符合空间位置关系条件下单个客体提取反应时更长,上方客体反应时更短,记忆更准确;（3）兼具空间位置关系与动作关系客体对中的主动客体记忆正确率更高。结果表明,现实场景客体空间分组中单个客体提取时存在解码现象和顺序效应,对现实中的上方与主动客体存在加工偏好。     

ANALYTIC MIND USE AND INTERPSYCHIC COMMUNICATION: DRIVING FORCE IN ANALYTIC TECHNIQUE,PATHWAY TO UNCONSCIOUS MENTAL LIFE

Developed from established psychoanalytic knowledge among different psychoanalytic cultures concerning unconscious interpsychic communication, analysts' use of their receptive mental experience—their analytic mind use, including the somatic, unconscious, and less accessible derivatives—represents a significant investigative road to patients' unconscious mental life, particularly with poorly symbolized mental states. The author expands upon this tradition, exploring what happens when patients unconsciously experience and identify with the analyst's psychic functioning. The technical implications of the analyst's “instrument” are described, including the analyst's ego regression, creation of inner space, taking mind as object, bearing uncertainty and intense affect, and self‐analysis. Brief case vignettes illustrate the structure and obstacles to this work.     

Heterogeneity of treatment changes after psychodynamic therapy within a one year follow‐up: A replication study

Naturalistic psychotherapy effect studies commonly report effect sizes for the total sample. However, a previous study of SCL‐90 Global Severity Index (GSI) improvement in a large outpatient sample used a cluster analytic strategy and reported clinical relevant outcome trajectories that could be grouped into early within‐treatment improvement, late improvement in the follow‐up period, and deteriorating patients with slight improvement that was lost at follow‐up. We explore GSI outcome trajectories and clinical significant change in a sample of 320 patients at a public psychiatric outpatient psychodynamic group therapy unit, the majority with anxiety, personality, and mood disorders. The study revealed large discharge and follow‐up effect sizes but more than one third of the patients were without measurable improvement. The major clusters described above were confirmed, and revealed unique clinical and socio‐demographic characteristics. Late improvers, as compared with early improvers, were characterized by anxiety symptoms and lack of network support after controlling for GSI at admission. Similarly, deteriorating patients had longer duration of illness and less favourable social characteristics compared with the other two groups. Early improving patients were less likely to have participated in short‐term groups, and only one third participated in additional treatment compared with more than 69% of the other patients. Severe and socially affected psychiatric patients, and patients with anxiety and agoraphobic symptoms may be less optimally treated in short‐term time limited psychodynamic groups. There is an obvious need for diversity of treatment offers, better integration of psycho‐social treatment components, and long‐term open ended treatment.     

From ABLE to TAPAS: A New Generation of Personality Tests to Support Military Selection and Classification Decisions

This article discusses 3 modern forced-choice personality tests developed for the U.S Armed Services to provide resistance to faking and other forms of response distortion: the Assessment of Individual Motivation, the Navy Computerized Adaptive Personality Scales, and the Tailored Adaptive Personality Assessment System. These tests represent the transition from Likert to forced-choice formats and from static to computerized adaptive item selection to meet the challenges of large-scale, high-stakes testing environments. For each test, we briefly describe the personality constructs that are assessed, the response format and scoring methods, and selected ongoing research and development efforts. We also highlight the potential of these tests for personnel selection, classification, and diagnostic screening purposes.     

药物治疗的风险及其处理

造成药物治疗风险的因素包括药物因素、病情因素、患者因素、用药因素及管理因素等。通过对药物进行严格监管,对医药从业人员加强培训和教育,对民众开展科普教学和用药指导,可以降低药物治疗的风险。风险事件主要表现为用药差错、药物不良反应或药物治疗无效。在药物治疗中,首先必须时刻警惕和及时发现风险;其次需要全面评估风险,还要对疾病风险和药物治疗风险进行比较。应尽可能避免药物治疗的风险,对于必须承受的风险,需采取相应措施,减少风险事件发生的概率和严重程度。如果存在较大风险,务必同时设计处理风险事件的预案,并与患者及其家属保持良好的交流和沟通。     

Object representations are biased toward each other through statistical learning

The visual system is remarkably efficient at extracting regularities from the environment through statistical learning. While such extraction has extensive consequences on cognition, it is unclear how statistical learning shapes the representations of the individual objects that comprise the regularities. Here we examine how statistical learning alters object representations. In three experiments, participants were exposed to either random arrays containing objects in a random order, or structured arrays containing object pairs where two objects appeared next to each other in fixed spatial or temporal configurations. After exposure, one object in each pair was briefly presented and participants judged the location or the orientation of the object without seeing the other object in the pair. We found that when an object reliably appeared next to another object in space, it was judged as being closer to the other object in space even though the other object was never presented (Experiments 1 and 2). Likewise, when an object reliably preceded another object in time, its orientation was biased toward the orientation of the other object even though the other object was never presented (Experiment 3). These results demonstrated that statistical learning fundamentally shapes how individual objects are represented in visual memory, by biasing the representation of one object toward its co-occurring partner. Importantly, participants in all experiments were not explicitly aware of the regularities. Thus, the bias in object representations was implicit. The current study reveals a novel impact of statistical learning on object representation: spatially co-occurring objects are represented as being closer in space, and temporally co-occurring objects are represented as having more similar features.     

Professional drivers’ fatigue as a problem of the modern era

ObjectiveAll around the world numerous studies have been carried out and indicated that 20–50% of commercial vehicle accidents occur because of fatigue. Professional drivers represent an important category of drivers who are present in traffic on a daily basis transporting passengers or goods and their responsibility is at a very high level. These drivers are most exposed to the impact of fatigue. The review of the literature has provided three main factors which can influence the onset of fatigue: sleep factors, work factors, health factors. The main aim of this study was to determine the influence of the three main factors of fatigue between bus and truck drivers in the Republic of Serbia.MethodsThe survey has been conducted among bus and truck drivers who are employed in transportation companies across the Republic of Serbia. The research consists of collecting and analyzing bus and truck drivers’ answers according to the above mentioned factors which influence the occurrence of fatigue.ResultsIn this study we have found that circadian rhythm, sleep and work factors have an impact on drivers’ fatigue. On the other side, time of going to sleep has no impact on the quality of sleep and on fatigue. The results show that if the drivers work over the legal limit, they are 3 times more likely to sleep less than 6 h in 24 h and if they sleep less than 6 h, it is likely that the poor quality of their sleep will be 8 times higher. The poor quality of sleep reduces driver performance, and therefore increases the risk of accidents.Conclusions2 of 3 investigated factors have an impact on the occurrence of fatigue. The third factor, health factor, should be examined in more detail, and other elements should be analysed in order to determine their influence on the fatigue.     

Demographic correlates of normative beliefs about aggression among adolescents from low income communities in South Africa

The present study investigated the association of age, gender, and family size with normative beliefs about aggression among South African adolescents from low-income areas. Adolescents (n = 229; mean age = 16 years; female = 61%) completed the Normative Beliefs about Aggression Scale. Step-wise regression analyses were conducted with age, gender, and family size as predictors of normative beliefs about aggression. Boys demonstrated greater endorsement of physical, non-physical, and relational aggression; as compared to girls. Living in an extended family was associated with less approval of aggression. Aggression reduction interventions with children from disadvantaged areas need to consider the role of gender and family-related factors.