Spirituality and Cognition: Does Spirituality Influence What We Attend to and Remember?

This study investigated how spirituality as a positive life theme might be related to one’s unique style of cognitive processing. Study participants included 80 individuals; 40 older adults and 40 younger adults. Word recall and recognition tasks assessed memory for positive, negative, neutral, and religious words. Results indicated that spirituality does not appear to be related to cognitive bias, but that words with either positive, negative, neutral, or religious connotations are recalled and recognized at different rates.     

How orthographic transparency affects morphological processing in young readers with and without reading disability

This study investigates how orthographic modifications to the stems of complex words affect morphological processing in proficient young Spanish readers and children with reading deficits. In a definition task all children, irrespective of their reading skill, were worse at defining derived words that had an orthographic alteration of the base stem than words with no orthographic alteration. In a go/no‐go lexical decision task, an interaction between base frequency and orthographic alteration was found: base frequency affected derived words with no orthographic alteration more than words with alterations, irrespective of reading skill. Overall, results show that all children benefit from a high frequency base, skilled children outperform children with reading deficits and morphological processing is affected by orthographic alterations similarly in proficient and impaired readers.     

Remembering,imagining, false memories & personal meanings

The Self-Memory System encompasses the working self, autobiographical memory and episodic memory. Specific autobiographical memories are patterns of activation over knowledge structures in autobiographical and episodic memory brought about by the activating effect of cues. The working self can elaborate cues based on the knowledge they initially activate and so control the construction of memories of the past and the future. It is proposed that such construction takes place in the remembering–imagining system – a window of highly accessible recent memories and simulations of near future events. How this malfunctions in various disorders is considered as are the implication of what we term the modern view of human memory for notions of memory accuracy. We show how all memories are to some degree false and that the main role of memories lies in generating personal meanings.     

Being engaged when resources are low: A multi-source study of selective optimization with compensation at work

This study examined self-regulation in the form of selective optimization with compensation (SOC) at work as a moderator of the relationships of job control (as a job resource) and feeling recovered and energized in the morning (as a personal energy resource) with self- and coworker-rated work engagement. SOC was hypothesized to offset low levels of job control and low levels of personal energy. Based on a sample of 405 public-service employees in Germany, including a multi-source subsample of 141 employees and their respective coworkers, the results showed that SOC use moderated the relationship between the level of personal energy and self-ratings as well as coworker ratings of work engagement such that SOC mitigated low levels of personal energy. SOC at work did not offset low job control. The results suggest that using SOC is particularly important when employees lack energy. SOC strategies should, therefore, be fostered by managers and organizations.     

Du secret médical aux dossiers de santé électroniques. Réflexions juridiques sur la protection des données de santé

Health data give rise to a plurality of qualifications. The exercise players are forced this not unusual for the legal system. In the case of health data, especially when these data are processed through folders to which several categories of actors need access, it may still be problematic. Electronic medical records, in which the authorities have in recent years invested a lot of hope and money, fail to cross the course of a generalization though it was presented as being beneficial for our public health system and financing of health spending. Without exaggerating the extent of social problems related to the interpretation and application of standards, it is reasonable to think that they are partly responsible for this fact. After presenting the two great bodies of norms which where initially protecting personal health data, this paper develops the analysis of their confrontation before highlighting the status of one of the most complex issues in this field, that is the people's consent to the various treatments that their data may be subject of.     

Framework analysis: a worked example of a study exploring young people’s experiences of depression

Framework analysis is an approach to qualitative research that is increasingly used across multiple disciplines, including psychology, social policy, and nursing research. The stages of framework analysis have been described in published work, but the literature is lacking in articles describing how to conduct it in practice, particularly in the field of psychology, where researchers may be working as part of a team. Having used framework analysis on a study exploring adolescents’ experiences of depression, we faced various challenges along the way and learned from experience how to use this approach to qualitative analysis. In this reflective article, we describe a worked example of using framework, which we hope will assist other researchers in deciding if this approach is suitable for their own research, and will provide guidance on how one might go about conducting framework analysis when working as part of a research team. We conclude that framework is a valuable contribution to qualitative methods in psychology, offering a pragmatic, flexible and rigorous approach to data analysis.     

Driving examiners’ views on data-driven assessment of test candidates: An interview study

Vehicles are increasingly equipped with sensors that capture the state of the driver, the vehicle, and the environment. These developments are relevant to formal driver testing, but little is known about the extent to which driving examiners would support the use of sensor data in their job. This semi-structured interview study examined the opinions of 37 driving examiners about data-driven assessment of test candidates. The results showed that the examiners were supportive of using data to explain their pass/fail verdict to the candidate. According to the examiners, data in an easily accessible form such as graphs of eye movements, headway, speed, or braking behavior, and color-coded scores, supplemented with camera images, would allow them to eliminate doubt or help them convince disagreeing test-takers. The examiners were skeptical about higher levels of decision support, noting that forming an overall picture of the candidate’s abilities requires integrating multiple context-dependent sources of information. The interviews yielded other possible applications of data collection and sharing, such as selecting optimal routes, improving standardization, and training and pre-selecting candidates before they are allowed to take the driving test. Finally, the interviews focused on an increasingly viable form of data collection: simulator-based driver testing. This yielded a divided picture, with about half of the examiners being positive and half negative about using simulators in driver testing. In conclusion, this study has provided important insights regarding the use of data as an explanation aid for examiners. Future research should consider the views of test candidates and experimentally evaluate different forms of data-driven support in the driving test.     

A data–information–knowledge cycle for modeling driving behavior

When talking about automation, “autonomous vehicles”, often abbreviated as AVs, come to mind. In transitioning from the “driver” mode to the different automation levels, there is an inevitable need for modeling driving behavior. This often happens through data collection from experiments and studies, but also information extraction, a key step in behavioral modeling. Particularly, naturalistic driving studies and field operational trials are used to collect meaningful data on drivers’ interactions in real–world conditions. On the other hand, information extraction methods allow to predict or mimic driving behavior, by using a set of statistical learning methods. In simple words, the way to understand drivers’ needs and wants in the era of automation can be represented in a data–information cycle, starting from data collection, and ending with information extraction. To develop this cycle, this research reviews studies with keywords “data collection”, “information extraction”, “AVs”, while keeping the focus on driving behavior. The resulting review led to a screening of about 161 papers, out of which about 30 were selected for a detailed analysis. The analysis included an investigation of the methods and equipment used for data collection, the features collected, the size and frequency of the data along with the main problems associated with the different sensory equipment; the studies also looked at the models used to extract information, including various statistical techniques used in AV studies. This paved the way to the development of a framework for data analytics and fusion, allowing the use of highly heterogeneous data to reach the defined objectives; for this paper, the example of impacts of AVs on a network level and AV acceptance is given. The authors suggest that such a framework could be extended and transferred across the various transportation sectors.     

Public acceptance of connected vehicles: An extension of the technology acceptance model

To examine the public acceptance of connected vehicles (CVs), this study developed a novel connected vehicle acceptance model (CVAM) extending the technology acceptance model (TAM). The model was built based on a questionnaire survey of 2400 US adults. Perceived data privacy and security associated with the technology was found to shape the trust, attitude, and behavioral intention to use CVs, in addition to the predictors of original TAM: perceived usefulness and ease of use. Results revealed that trust mediates the effect of perceived data privacy and security on CV acceptance, though its directional relationship with perceived usefulness and perceived ease of use is unclear. Socio-demographic and other characteristics of respondents associated with CV acceptance and its predictors were explored. A number of theoretical and practical implications of the study findings are discussed.     

Les préjudices professionnels des jeunes victimes de dommages corporels. La reconnaissance jurisprudentielle du préjudice professionnel des jeunes victimes. Partie 1

Compensation for professional damages in respect of young victims who remain disabled following an accident or assault remains problematic for personal injury compensation practitioners. However, such professional damages, recognized in principle by the Dintilhac group, were confirmed by the Court of Cassation in terms of full compensation for damages, both for loss of future earnings (PGPF), and professional incidence (IP). Though the burden of proof lies with the victim, experts have a major role to play in assessing these losses by setting out the foreseeable impact of the after-effects on the victim's professional activities, and on his or her professional potential before and after the injury, along with limitations in terms of the jobs the victim is subsequently able to do.