Effects of training and display content on Level 2 driving automation interface usability

IntroductionLevel 2 driving automation features, such as adaptive cruise control (ACC) combined with lane centering, primarily communicate their operating statuses through the instrument cluster. It remains unclear how interface-specific training and display content influence the ability to understand Level 2 activity in production vehicles.MethodsEighty participants viewed videos recorded from the driver’s point of view in a variety of driving scenarios with Level 2 activity displayed in the instrument cluster of a 2017 Mercedes-Benz E-Class. Half viewed one of two instrument cluster layouts (simple or complex), and half received an orientation to the interface before the experiment. After each video, they were asked about the scenario they had just seen. We then examined what information in the displays participants used to identify Level 2 activity and the usability of the displays.ResultsTraining improved recognition accuracy of when lane centering was temporarily inactive and understanding of why it was inactive. Neither training nor display content affected the ability to recognize when ACC had adjusted the vehicle’s speed or detected a vehicle ahead, or when ACC initially did not detect a lead vehicle and understanding of why it had not detected it. Both factors influenced which sources of information participants used to determine Level 2 activity. Recognition accuracy of system activity improved when participants used valid sources of information. Training, but not display content, improved lane centering usability, but not ACC usability.DiscussionBasic training improves detection of notifications that potentially require further driver action, but not of those that display persistent status information. Training does not result in full understanding of all system notifications or functional limitations, which reinforces the need for intuitive, salient communication about system behavior and its limitations.     

The impact of navigation system display size and environmental illumination on young driver mental workload

Driver distraction is a major cause of road crashes and has a great influence on road safety. In vehicles, one of the common distracting sources is navigation systems (NSs). The navigation system (NS) can distract the driver due to following directions and reading the provided information through its display. These tasks take the driver’s attention from the primary task of driving and may cause poor driving performance, increasing the risk of crashes. In this paper, the effect of the environment (i.e., urban areas and rural areas), the navigation system display (NSD) size, environmental illumination, and gender on young drivers between the ages of 18 and 29 years mental workload was investigated using a simulated driving experiment. To evaluate each driving condition, the NASA-TLX (NASA Task Load Index) workload assessment tool, and a distraction evaluation element, were introduced and used to assess the overall workload, the workload subscales and the distraction by the NSD. The assessment showed a higher perceived overall workload for urban areas and night driving as compared to a rural areas and daytime driving. Moreover, the results showed a greater perceived distraction by the NSD in urban areas compared to driving in rural areas. The subjects also felt distracted when using the small NS compared to using the large NS. The study concluded that urban areas driving, and night driving creates higher perceived workload than rural areas and daytime driving. Furthermore, small NSD leads to more perceived distraction than large NSD while driving. The NSD designers may utilize this research findings to optimize NSD designs to improve driving safety, performance and comfort. Moreover, this study contributes to our understanding of the effect of the NSD size on driving workload and distraction.     

Evaluating agents’ trustworthiness within virtual societies in case of no direct experience

A great deal of effort has been made to introduce trust models to assess trustworthiness within virtual societies. The great majority of them makes extensive use of direct experience as the main source of information, considering recommendation/reputation and inferential processes just later, as a secondary mechanism to refine trust assessment. In this kind of networks, unfortunately, direct experience might not always represent the best solution to assess trustworthiness. In fact, their highly dynamic structure promotes an increase of the average number of interconnections among agents. This in turn negatively affects the degree of knowledge the agents possess about each specific individual, i.e. direct experience. To date, however, it has not been said much about how to face these situations.It is fundamental to find an effective approach for trust assessment even in lack of direct experience, which is the central focus of this research. By the means of a multi-agent social simulation, we consider the situation in which an agent can just access indirect knowledge for trust assessment, namely recommendations of specific individuals or whole categories of individuals. Then, we compare the efficiency of these two approaches in order to identify when it is more convenient to rely on the first or on the second one. As expected, our results confirm that the dynamic nature of these networks strongly affects the role of categories. We modeled this feature introducing the “turnover” in the simulations, whereby the higher is the turnover the more convenient it is relying on categories. Besides this confirmatory result, our simulations highlight the higher degree of robustness of categories in the presence of unreliable recommenders. Such a result is even more significant if there is no available information about how reliable the recommenders are.The results we obtained are in accordance with the current literature and can be of important interest for the development of this sector.     

Relations entre réflexivité d’équipe,mémoire transactive et efficacité interventionnelle perçue chez les policiers-opérateurs du RAID

The objective of this study is to examine the influence of explicit (team reflexivity) and implicit (transactive memory) coordination processes on the perceived interventional effectiveness of specialized elite units (RAID) of the French national police. We test the hypothesis that transactive memory is a mediating process in the relationship between team reflexivity and perceived effectiveness. One hundred and three police-officers representing the seven French police special units replied to a questionnaire. The results show that perceived effectiveness is positively related to task reflexivity and transactive memory. The relationship between task reflexivity and perceived effectiveness is mediated by the integrated component of transactive memory (bootSE = 0.05, 95% BCa CI [0.004, 0.19]). The theoretical and practical implications are discussed with regard to the development of debriefing methods and teamwork training for the development of shared mental models.     

团队工作重塑的形成与影响机制

团队工作重塑是影响团队有效性的关键性因素。基于工作设计理论和团队运作模型, 提出了一个关于团队工作重塑的前因后果的理论模型, 旨在建立团队工作重塑的逻辑关系网络。首先, 对团队工作重塑的概念和内涵进行分析, 并探讨测量工具的维度。接着从多层分析视角, 考察领导行为、工作特征、团队人格构成、人力资源管理系统对团队工作重塑的影响, 以及团队主动性动机状态中介作用。最后分析团队工作重塑对团队有效性的作用机制。     

人口统计学特征对公共服务动机有什么影响?来自元分析的证据

采用元分析方法探讨人口统计学特征与公共服务动机之间的关系。经筛选, 共纳入138篇492个独立样本(N = 1078442)。结果发现, 性别、年龄、教育程度、组织任期、工作任期、职位等级和收入与公共服务动机之间均呈显著的正相关关系, 且与公共服务动机不同维度之间的关系均存在差异, 婚姻状况与公共服务动机间不存在显著的相关关系。此外, 公共服务动机测量工具、测量时间点和文化背景对部分人口统计学特征与公共服务动机之间的关系有调节作用。研究结果为人口统计学特征如何影响公共服务动机提供了较为精确的估计, 对于发展公共服务动机理论, 激励员工工作积极性, 提高公共部门服务水平都有重要意义。     

慈悲冥想对利他行为的影响及其认知神经机制

慈悲冥想是一类旨在培养对自己和他人无条件的善意与同情的冥想练习方法, 主要包括慈心禅和怜悯禅修。诸多研究表明, 慈悲冥想可以促进练习者的利他行为。就影响机制而言, 慈悲冥想可能是通过增强对他人不幸的共情反应, 促进情绪的有效调控和提高亲社会动机来影响练习者的利他行为。未来的研究需选择更具生态效度的利他行为测量方法, 深入挖掘慈悲冥想影响利他行为的动态神经加工过程, 并尝试将慈悲冥想应用于临床群体。     

Do looks constitute our perceptual evidence?

Many philosophers take experience to be an essential aspect of perceptual justification. I argue against a specific variety of such an experientialist view, namely, the Looks View of perceptual justification, according to which our visual beliefs are mediately justified by beliefs about the way things look. I describe three types of cases that put pressure on the idea that perceptual justification is always related to looks‐related reasons: unsophisticated cognizers, multimodal identification, and amodal completion. I then provide a tentative diagnosis of what goes wrong in the Looks View: it ascribes a specific epistemic role to beliefs about looks that is actually fulfilled by subpersonal perceptual processes.     

The effects of a public address system on the off-task behavior of elementary physical education students

The purpose of this study was to determine the effects of teacher feedback delivered via a public address system on the off-task behavior of elementary-school physical education students. A multiple baseline design across three classes was used in this investigation. Results indicated a consistent decline in off-task behavior when the public address feedback system was used.