A dissociation between the sense of familiarity and access to semantic information concerning familiar people

In the current study we examined the relationship between working memory capacity, inhibition/susceptibility to interference and fluid intelligence, measured by the Raven's Progressive Matrices (PM38), comparing groups of young (aged 18–35), young-old (aged 65–74), and old-old (aged 75–86) participants. Groups were administered two working memory tasks tapping into different mechanisms involved in working memory. The ability to control for irrelevant information was measured both considering memory errors (intrusion errors) in a working memory task and an index of susceptibility to interference obtained with a variant of the Brown-Peterson task. Regression analyses showed that the classical working memory measure was the most potent predictors of the Raven's score. Susceptibility to interference and intrusions errors contributed, but to a lower extent, to the Raven explained variance. These results confirm that working memory shares cognitive aspects with the fluid intelligence measure considered, whereas the role of inhibition to Raven scores is still in need of better evidence.     

More than a surprise: The bivalency effect in task switching

When switching tasks, if stimuli are presented that contain features that cue two of the tasks in the set (i.e., bivalent stimuli), performance slowing is observed on all tasks. This generalized slowing extends to tasks in the set which have no features in common with the bivalent stimulus and is referred to as the bivalency effect. In previous work, the bivalency effect was invoked by presenting occasionally occurring bivalent stimuli; therefore, the possibility that the generalized slowing is simply due to surprise (as opposed to bivalency) has not yet been discounted. This question was addressed in two task switching experiments where the occasionally occurring stimuli were either bivalent (bivalent version) or merely surprising (surprising version). The results confirmed that the generalized slowing was much greater in the bivalent version of both experiments, demonstrating that the magnitude of this effect is greater than can be accounted for by simple surprise. This set of results confirms that slowing task execution when encountering bivalent stimuli may be fundamental for efficient task switching, as adaptive tuning of response style may serve to prepare the cognitive system for possible future high conflict trials.     

What do children do in the rime-analogy task? An examination of the skills and strategies used by early readers

Despite the intense debate surrounding the use of orthographic analogy in the clue word paradigm, little is known about the skills and strategies children actually use and how these compare with their everyday reading of single words. This study, with 4- and 5-year-olds (N=125), supports previous work which suggests children rely on phonological, rather than orthographic, priming in the clue word task since children most frequently produced rhyming words in response to the clue word. The extent to which phoneme and rhyme-based skills, along with letter-sound knowledge, predicted children's performance in the analogy task and in a test of single word reading was contrasted and compared. Our findings suggested that the balance of skills which children drew upon was determined by the demands of the task. The implications of these findings for the validity of the 'orthographic'-analogy task and for teaching beginning readers is discussed.     

The impact of task complexity on information use in multi-attribute decision making

This study presents a process analysis of multi-attribute decision making. The decision problems concerned the selection of the most suitable candidate for a job opening. The problems varied in terms of complexity, i.e. the number of candidates and the number of attributes used to describe these alternatives. Results show that with an increasing number of alternatives, subjects (N = 48) used fewer attributes for the evaluation of alternatives, and made, on average, less references to the alternatives. The type of judgment most often used was absolute dimensional (comparison of an attribute to an absolute standard) and was used more often at the beginning than toward the end of the decision process. Overall, judgments were predominantly positive. The percentage of positive judgments decreased with increasing complexity, and toward the end of the decision process. Significantly more judgments, particularly positive ones, concerned the finally chosen alternative as compared to the rest of the alternatives. Finally, analysis of subjects' usage of decision rules revealed that increasing the number of alternatives resulted in an increasing use of elimination strategies. Implications of these findings for the design of decision aids will be discussed.     

Coding infant engagement in the Face-to-Face Still-Face paradigm using deep neural networks

BackgroundThe Face-to-Face Still-Face (FFSF) task is a validated and commonly used observational measure of mother-infant socio-emotional interactions. With the ascendence of deep learning-based facial emotion recognition, it is possible that common complex tasks, such as the coding of FFSF videos, could be coded with a high degree of accuracy by deep neural networks (DNNs). The primary objective of this study was to test the accuracy of four DNN image classification models against the coding of infant engagement conducted by two trained independent manual raters.Methods68 mother-infant dyads completed the FFSF task at three timepoints. Two trained independent raters undertook second-by-second manual coding of infant engagement into one of four classes: 1) positive affect, 2) neutral affect, 3) object/environment engagement, and 4) negative affect.ResultsTraining four different DNN models on 40,000 images, we achieved a maximum accuracy of 99.5% on image classification of infant frames taken from recordings of the FFSF task with a maximum inter-rater reliability (Cohen's κ-value) of 0.993.LimitationsThis study inherits all sampling and experimental limitations of the original study from which the data was taken, namely a relatively small and primarily White sample.ConclusionsBased on the extremely high classification accuracy, these findings suggest that DNNs could be used to code infant engagement in FFSF recordings. DNN image classification models may also have the potential to improve the efficiency of coding all observational tasks with applications across multiple fields of human behavior research.     

Perceived self-efficacy by Under-10 tennis players when scaling the equipment and play area

The modification of child-sports aims to develop an optimal learning environment that facilitates the emergence of desirable psychological outcomes (e.g., self-efficacy). The aim of the study was to assess the effect of reducing net height and court size on self-efficacy and shot-efficacy of U-10 tennis players in a real-game context. Twenty U-10 tennis players (M = 9.46, SD = 0.66 years of age; M = 3.65, SD = 1.53 years of tennis experience) played two round-robin tournaments one week apart in the same order and schedule. The first tournament was played under the International Tennis Federation’s Tennis 10s regulation at green stage (GT). Afterwards, the modified tournament (MT) was played with the same regulation GT, however, net height (0.91 m–0.80 m) and court size (23.77 m × 8.23 m–18.00 m × 8.23 m) were reduced. Results accomplished using Bayesian and Frequentist inferences showed an increase in players’ self-efficacy when serving in MT than GT (BF₁₀ = 4.796; δ = −0.576; and p = .011). This is increase may be due to a reduction in their serving faults in MT (BF₁₀ = 6.169; δ = −0.591; and p = .010). Therefore, reducing net height and court size enhances the serve performance and self-efficacy and thus promotes positive tennis experiences.     

Association of parent,coach, and peer motivational climate with high school athlete burnout and engagement: Comparing mediation and moderation models

The purpose of this study was to (1) examine the direct association of parent-, coach-, and peer-initiated motivational climate with high school athlete burnout and engagement and (2) evaluate whether peer-initiated motivational climate mediates or moderates the association of coach-initiated motivational climate with burnout and engagement. Athletes (n = 150) completed a survey on their perceptions of parent-, coach-, and peer-initiated motivational climate, burnout, and engagement. Findings supported the mediation model, but not the moderation model. In addition to mastery and performance climate direct effects, significant medium-to-large indirect pathways from coach mastery climate → peer mastery climate → burnout, β = -.15, 95% CI [-.333, −.009], and coach mastery climate → peer mastery climate → engagement, β = .19, 95% CI [.020, .293] were observed. Findings support that a parent, coach, and peer-initiated mastery motivational climate was associated with burnout and engagement while a performance climate was mostly unrelated to these indices of athlete well-being. In addition to direct associations with burnout and engagement, coaches also had an indirect association through peer mastery-initiated motivational climate. Findings advance understanding of how parents, coaches, and peers conjointly shape athlete burnout and engagement.     

绩效评价的若干问题

通过对绩效的内涵、绩效评价标准的确定、评量指标体系的构建以及多样性评量指标的整合意义与方法等四个绩效评价的最基本问题进行反思 ,提出如下观点 :(1 )对绩效进行考量时必须同时考虑时间、方式和结果三个维度。 (2 )绩效评价标准的确定应先于具体评量指标的选择 ,且应保持一定的稳定性 ,不可随意增删 ;(3 )评量指标体系的构建应本着贵精不贵多、贵明确不贵模糊、贵敏感不贵迟钝 ,贵关键不贵空泛的原则进行 ;(4)多样性评量指标是否整合需根据具体的需要而定 ,整合时要考虑评量指标本身的权重差异以及不同评价者由于对标准尺度掌握的松紧不一和评判角度不同所带来的对最终评价结果的影响。     

How drivers adapt their behaviour to changes in task complexity: The role of secondary task demands and road environment factors

The present study investigates the impact of different sources of task complexity such as driving demands and secondary task demands on driver behaviour. Although much research has been dedicated to understanding the impact of secondary task demands or specific road traffic environments on driving performance, there is little information on how drivers adapt their behaviour to their combined presence. This paper aims to describe driver behaviour while negotiating different sources of task complexity, including mobile phone use while driving (i.e., calling and texting) and different road environments (i.e., straight segments, curves, hills, tunnels, and curves on hills). A driving simulator experiment was conducted to explore the effects of different road scenarios and different types of distraction while driving. The collected data was used to estimate driving behaviour through a Generalized Linear Mixed Model (GLMM) with repeated measures. The analysis was divided into two phases. Phase one aimed to evaluate driver performance under the presence and absence of pedestrians and oncoming traffic, different lanes width and different types of distraction. The second phase analysed driver behaviour when driving through different road geometries and lane widths and under different types of distraction. The results of the experiment indicated that drivers are likely to overcorrect position in the vehicle lane in the presence of pedestrians and oncoming traffic. The effect of road geometry on driver behaviour was found to be greater than the effect of mobile phone distraction. Curved roads and hills were found to influence preferred speeds and lateral position the most. The results of this investigation also show that drivers under visual-manual distraction had a higher standard deviation of speed and lateral position compared to the cognitive distraction and the non-distraction condition.     

Task concentration training versus applied relaxation, in combination with cognitive therapy, for social phobia patients with fear of blushing, trembling, and sweating

Social phobia patients with fear of blushing, trembling, sweating and/or freezing as main complaint (N = 65) were randomly assigned to either task concentration training (TCT) or applied relaxation (AR) both followed by cognitive therapy (CT). Measurements took place before and after wait-list, after TCT or AR (within-test), after CT (post-test), at 3-months and at 1-year follow-up. Effects were assessed on fear of showing bodily symptoms (the central outcome variable), social phobia, other psychopathology, social skills, self-consciousness, self-focused attention, and dysfunctional beliefs. No changes occurred during wait-list. Both treatments were highly effective. TCT was superior to AR in reducing fear of bodily symptoms and dysfunctional beliefs at within-test. This difference disappeared after CT, at post-test and at 3-months follow-up. However, at 1-year follow-up the combination TCT-CT was superior to AR-CT in reducing fear of bodily symptoms, and effect sizes for TCT-CT reached 3. Furthermore, at all assessment moments TCT or the combination TCT-CT was superior to AR-CT in reducing self-consciousness and self-focused attention. The superior long-term effect of TCT on fear of showing bodily symptoms is explained by lasting changes in attentional focus.