Rightly crossing the Rubicon: Evaluating goal self-concordance prior to selection helps people choose more intrinsic goals

We studied how people “cross the Rubicon” when making personal goal selections. In Studies 1 and 2 participants rated the self-concordance of four candidate goals, two with intrinsic and two with extrinsic content, before selecting two goals to actually pursue. Intrinsic goal content predicted higher self-concordance, as did matching between goal content and participant values and motives. Self-concordance in turn explained participants’ actual goal-selections. In longitudinal Study 2, intrinsic goal selection predicted increased well-being. In experimental Study 3, participants randomly assigned to rate candidate goals prior to selection made more intrinsic selections on average, compared to those not afforded this opportunity. We conclude that considering one’s motivations for various candidate goals prior to selecting among them can improve one’s goal choices.     

Personal warmth and psychological health at midlife

Personal warmth, arguably a strong trait in the makeup of psychological health, seems to fade in conceptual importance at midlife. In contrast, ideas of interiority and androgyny appear to gain conceptual importance at midlife. The present study sought to rebalance these foci by determining the predictive power of personal warmth for psychological health of men and women at age 50: first, by developing separate California Psychological Inventory (CPI) scales to assess personal warmth; next, by joining these warmth scales with the 20 standard CPI scales to predict psychological health. Without the personal warmth scale, the standard CPI scales do not significantly predict psychological health for men; for women, the standard scales do. For both genders, the personal warmth scales add significantly to the predictability of psychological health. The results point to an amendment of current theoretical formulations of interiority and androgyny to better understand optimal psychological development in men and women at midlife.     

从道德本位到权利本位的转换——梁启超《新民说》审视

梁启超《新民说》是对以《大学》为代表的中国传统“新民”思想的改造和发展。他以民权、独立、自由的资产阶级“公德”代替以伦理道德为核心的封建主义的“私德” ,用中西文化中的优秀道德传统构建新国民 ,实现了从以伦理道德为本位的旧道德向以权利为本位的新道德的转换 ,“旧国民”向“新国民”的转换。     

Consensus effects in categorization decisions

A previous study (Gilat et al., J. Exp. Psychol. Appl. 3 (1997) 83) has shown that the incentive to reach consensus can raise the tendency to rely on base rates in signal detection decisions and can reduce the probability that less likely events will be accurately classified. This phenomenon was named the “consensus effect”. The current study assesses the conditions under which this effect develops and in particular the effects of information about the game and of the incentive structure on the learning process. The results of three experiments show that the learning process slows when participants have information about the actual state of nature. This finding is captured by a reinforcement learning model with the assumption that information narrows the distribution of the initial propensities for choosing among cutoffs. The results are further evidence for the utility of the combination of learning models and analyses of cognitive processes for the prediction of decision making in situations involving multiple players.     

Left-hemisphere language lateralization in bilinguals: use of the concurrent activities paradigm

Previous visual and auditory lateralization studies have demonstrated that the languages of bilinguals are lateralized to the left hemisphere to the same extent as in monolingual controls (C. Soares & F. Grosjean, 1981, Perception and Psychophysics, 29, 599-604; C. Soares, 1982, Neuropsychologia, 20, 653-659). The present study tested the same group of Portuguese-English bilinguals and a group of English-speaking monolinguals on a series of concurrent activity, or time-sharing, tasks. Greater levels of disruption in finger tapping with the right hand than with the left hand occurred during the performance of those tasks which required overt speech production, and this for both bilinguals and monolinguals. As in the previous studies, there were no lateralization differences across the bilinguals' two languages or between bilinguals and monolinguals. Thus, further evidence for equal levels of left-hemisphere dominance for language in bilinguals and monolinguals was provided by the use of the concurrent activities paradigm.     

Valorisation de la recherche en santé humaine et protection des données à l’ère du numérique

Medical research collects a huge number of medical data sheltered in Data Centers. An European regulation rule (GDRP) or General Data Protection Regulation aims to give an ethic frame to protect personal data and delegate responsability to citizens.     

Assessing the driving distraction effect of vehicle HMI displays using data mining techniques

With the rapid development of human–machine interface (HMI) systems in vehicles, driving distraction caused by HMI displays affects road safety. This study presents a data mining technique to model the four driving distraction indicators: speed deviation, lane departure standard deviation, dwell time, and mean glance time. Driving distraction data was collected on a real-car driving simulator. 3 secondary tasks in 13 mass produced cars were tested by 24 drivers. The random forest algorithm outperformed linear regression, extreme gradient boosting, and multi-layer perceptron as the best model, demonstrating good regression performance as well as good interpretability. The result of random forest showed that the importance of target speed is large for all driving distraction indicators. Among the variables of interaction and user interface design, less step and less on-screen distance of finger movement are efficient for lowering lane departure standard deviation and dwell time. The position of right point is another important variable, and should be between 37 and 47 degrees on a typical sample in this study. A larger angle leads to bigger lane departure, while a smaller angle leads to bigger mean glance time. Most variables of HMI display positioning themselves are not important. This study provides one driving distraction assessment method with a variable impact trend analysis for HMI secondary tasks in an early phase of product development.     

Segment routing based energy aware routing for software defined data center

Despite the fact that most of the data centers are software-defined, the multifaceted network architecture and increase in network traffic make data centers to suffer from overhead. Multipath TCP supports multiple paths for a single routing session and ensures proper utilization of bandwidth over all available links. As rise in number of nodes in data center is frequent and drastic, scalability issue limits the performance of many existing techniques. Segment Routing is vibrant in reducing scalability disputes and routing overhead. Segment routing approach combined with MPTCP traffic result in efficient routing approach. The downfall of the link capacity due to drastic incoming traffic remains as a major concern in data center network which enforces preventing link energy depletion due to high network traffic. Our proposed work, segment routing based energy aware routing approach for software defined data center aims to achieve throughput maximization through preserving link residual capacity and proper utilization of links. As well, our approach shows a decrease in length of segment label stack with respect to maximum segment label depth. Analysis is done by comparing the executions of other existing approaches in a single-controller environment with our energy-aware routing approach in a distributed environment. Distributed controller setup prevents network from single point of failure. It helps to prevent controller overhead and provides improved network performance through throughput.     

Bringing Back the Person into Behavioural Personality Science Using Big Data

Behaviour and the individual person are important but widely neglected topics of personality psychology. We argue that new technologies to collect and new methods to analyse Big (Behavioural) Data have the potential to bring back both more behaviour and the individual person into personality science. The call for studying the individual person in the history of personality science, the related idiographic/nomothetic divide, as well as attempts to reconcile these two approaches are briefly reviewed. Furthermore, different meanings of the term idiographic and some unique selling points that emphasize the importance of idiographic research are highlighted. A nonexhaustive literature review shows that a wealth of behaviours are considered in extant personality studies using such Big Data but only in a nomothetic way. Against this background, we demonstrate the potential of Big Data collection and analysis with regard to four idiographic research topics: (i) unique manifestations of common traits and the resurgence of personal dispositions, (ii) idiographic prediction, (iii) intraindividual consistency versus variability of behaviour and (iv) intraindividual personality trait change through intervention. Methodological, ethical and legal pitfalls of doing Big Data research with individual persons as well as potential countermeasures are considered.     

Aggregating to the between-person level in idiographic research designs: Personal goal research as an example of the need to distinguish between reliability and homogeneity

In several areas of personality research (e.g., personal networks, interpersonal behaviour, academic effort), the empirical data represent a multilevel structure, in which within-person variables are nested within individuals. Both within-person variation and between-person differences can be related to outcome variables (e.g., emotions, life satisfaction). One major precondition for aggregating within-person data to the between-person level is sufficient reliability of the aggregated data, a point that has received scant attention in previous research. Drawing on the example of personal goal research, we recommend that the two major forms of the intraclass correlation coefficient—the ICC(1) and the ICC(2)—be applied to within-person data in idiographic research designs. These indices allow the homogeneity and reliability of within-person data to be determined separately. Their application is illustrated using data from a study with 4,565 young adults.