预期交流与创造力的关系:解释水平的调节作用

该研究探讨了预期交流对创造力的影响, 以及解释水平在其中的调节作用。实验1采用结构性想象任务探讨预期交流是否影响创造力。结果表明, 相较于没有预期交流, 预期交流条件下的个体表现出更高的创造力。实验2采取了创意产生任务, 并探讨了解释水平在其中的调节作用。结果表明, 当完成抽象的、高解释水平任务时, 相较于无预期交流, 预期交流条件下个体在新奇性和变通性两个维度上表现出了更高的创造力; 当完成具体的、低解释水平任务时, 预期交流的效应不复存在。也就是说, 只有当创造力任务要求高解释水平的抽象思维时, 预期交流才能促进创造力的发挥。总结而言, 本研究在过往对于交流与创造力以及解释水平与创造力的研究基础上进一步发现, 对于抽象创造力任务, 虽然真正的信息交流尚未发生, 但仅仅对于交流的预期就会提高创造力水平。     

不同阅读水平儿童的汉字字形输出与再认

实验采用与和选择任务,对比研究了不同阅读水平儿童在汉字字形输出和再认过程中的共同点和差异。结果发现：汉字声旁的规则必影响所有阅读水平儿童听写和听选择的正确和率错误率;阅读水平低的儿童阅读水平高的儿童产生更多的同音替代;与阅读水平高的儿童相比,阅读水平低的儿童更加需要线性的帮助。文章从心理词典结构和字词加工的角度探讨了这种差异的理论含义。     

血糖水平对STZ鼠探究行为及学习记忆的影响

为了解不同血糖水平下链脲佐菌素诱导鼠（STZ鼠）探究行为与学习和记忆的变化情况,把60只STZ鼠按血糖水平分成高血糖组、良好血糖组和低血糖组3组,进行延迟时间、探究时间测定和小鼠跳台试验,并与正常对照组比较。结果发现,良好血糖组与正常对照组各检测指标均相近;3组STZ鼠延迟时间、完成迷津作业时间均按血糖值递增;组间差异显著;小鼠跳台试验中高血糖组的错误数最多,24小时后错误数最少,前后差值有组间差异;延迟时间、探究时间与血糖呈显著正相关,错误数差值与血糖呈显著负相关。结果表明,高血糖鼠的探究行为和学习能力最差,但对被动回避学习的记忆保持相对较好。     

动机与情境对不同自控水平儿童学业求助的影响

本实验以小学儿童为被试,研究了在不同动机取向和情境条件下的不同自我控制水平儿童的学业求助行为。结果表明：（１）单独无自尊压力的解难题情境比群体压力情境导致更多的求助行为。（２）低自控儿童比高自控儿童产生更多的执行性求助,但主要表现在单独无自尊压力的情境下。（３）在群体压力情境下,自我卷入的儿童比任务卷入的儿童表现出更多的求助行为。（４）在单独无自尊压力的情境下,任务卷入的儿童比自我卷入的儿童表现出     

识解水平对跨期选择和风险选择的影响

通过考察识解水平启动对跨期选择和风险选择的影响, 探究两类选择对时间或风险心理加工的相似性。结果发现, 无论以思维诱导为识解水平的启动条件(实验1), 还是以视觉加工为识解水平的启动条件(实验2), 受高识解水平启动的被试对延迟选项和风险选项的主观值判断都要大于受低识解水平启动的被试, 说明跨期选择中的延迟时间和风险选择中的概率具有相似的表征, 而识解水平思维定势是通过影响金额和时间(或概率)的相对权重起作用。即由于高识解水平下的金额权重高于低识解水平, 时间(或概率)权重低于低识解水平, 从而使被试在高识解水平下更愿意等待或冒险。     

锚测验难度水平代表性对垂直量尺化的影响研究

考察了锚测验难度水平对其来源测验水平的代表性对垂直量尺化的影响。采用模拟研究的方法,比较了锚测验难度等于来源测验、位于高低年级测验水平难度区间的第25百分位处及区间第50百分位处时,年级能力分布和垂直量尺特性上的参数返真结果,发现锚题难度水平高于其来源测验非但不会导致垂直量尺化结果变差,在有的情境下反而可能会提高其准确性。研究揭示人们构建垂直量尺时,可以根据内容和其他统计特征的需要对锚测验的难度水平做出适当调整     

The influence of alcohol (0.5‰) on the control and manoeuvring level of driving behaviour,finding measures to assess driving impairment: A simulator study

ObjectiveThe influence of psychoactive substances on driving performance and traffic safety has been extensively studied. Research on the influence of alcohol at the control level of behaviour (i.e. automated processes) has been well established and has shown that the ability to operate a vehicle decreases with rising alcohol levels. However, results one level higher at the manoeuvring level (i.e. conscious processes), are inconsistent. The current study aimed to replicate findings on the influence of alcohol on the control level of behaviour and investigate effects on the manoeuvring level in order to find suitable measures to assess driving impairment.MethodThe study was double-blind, placebo-controlled with a counterbalanced treatment order and a two-way crossover design. Thirty participants performed tasks in a driving simulator under the influence of alcohol (0.5‰) and a placebo. In the driving tasks the control level of behaviour (swerving, average speed, and speed variation) was investigated, as well as the manoeuvring level of behaviour (distance to other traffic during an overtaking manoeuvre, reaction time to a traffic light turning amber, and response to a suddenly merging car).ResultsAs expected, alcohol affected the control level of behaviour negatively. Participants swerved more and showed more speed variation after alcohol intake. The manoeuvring level of driving behaviour was also affected by alcohol. The distance to other drivers during an overtaking manoeuvre was smaller under the influence of alcohol. Results on reaction time were however less straightforward. Reaction time increased significantly under the influence of alcohol when reacting to a traffic light but not in reaction to a car unexpectedly merging into traffic. When analysing behaviour in reaction to these different events in more detail it became clear that they were responded to in varying manners, making it difficult to find an average impairment measure.ConclusionsThe deteriorating effect of alcohol at the control level of driving behaviour was replicated, confirming the suitability of the standard deviation of lateral position and the variation in speed as measures of impairment. At the manoeuvring level, the kept distance to the leading car during an overtaking manoeuvre appeared to be a suitable measure to assess impairment as well as reaction time to a traffic light. The current study also confirms the difficulties in evaluating complex driving behaviour and the need for more research on this subject.     

Proposal of a driver profile classification in relation to risk level in overtaking maneuvers

Traffic crashes are a worldwide problem, and records have indicated frontal collisions have resulted in the most significant number of fatalities. Such a type of crash is frequently caused by improper overtaking of vehicles, which highlights the interference of human factors. Therefore, investigations on driver's risk perception are necessary. This study proposes a classification of driver's risk level through a decision tree using the Classification and Regression Tree (CART) algorithm from data collected from the overtaking maneuvers in a driving simulator. The model obtained by CART algorithm indicated young male drivers are more likely to take risks in overtaking maneuvers. The results were correlated with governmental records and similar studies. In addition, the results showed the potential of the tool for used as a risk level classifier, as well as the validation of the driving simulator in studies associated with human factor behaviours, accident analysis and investigation.     

幼儿园新教师学历与离职意向的关系:入职适应、工作满意度的多重中介作用

以783名教龄3年以内的幼儿园新教师为被试,采用问卷法考察入职适应和工作满意度在新教师学历与离职意向之间的中介作用。结果表明：工作满意度在幼儿园新教师学历与离职意向的关系中具有正向独立中介作用;入职适应、工作满意度在幼儿园新教师学历与离职意向的关系中具有负向链式中介作用。这些结果说明,良好的入职适应是提高幼儿园高学历新教师工作满意度、降低其离职意向的关键因素。     

A study of the compliance level of connected vehicle warning information in a fog warning system based on a driving simulation

The accidents in the freeway are frequent and more serious on foggy days. Connected vehicle (CV) technology as a new technology can inform drivers of fog conditions in advance so the drivers can adjust their driving behaviors through Human Machine Interface (HMI) and Dynamic Message Sign (DMS) in the fog warning system. The level of driver's compliance with a fog warning system is the key to assessing the effectiveness of the fog warning system. To evaluate the compliance level of fog warning system, the study established a CV system testing platform based on driving simulator, and analyzed the changes in driving behavior and influencing factors for drivers under three different visibility conditions (No fog, light fog and heavy fog) based on the platform, finally, comprehensive evaluation of the optimal fog warning system under different foggy conditions based on the compliance level were made. Research indicators are divided into three aspects: 1) the response degree, including the mean speed, the minimum speed in the fog zone, the difference of the speeds when entering and leaving the fog zone, the proportion of speed following, and the speed reduction proportion prompt; 2) the response start time, which is the time to start slowing down to the speed limit; and 3) the response time duration, namely, the time in which the speed limit is followed. The results show that the response degree of the driver to the fog warning system is high, the fog warning system can effectively reduce the driving speed of the drivers and improve the speed following proportion of the drivers, the deceleration ratio of the driver at each warning point is relatively high, and the influencing factors of various indicators are complex but are mostly related to visibility and technical level. Comprehensive evaluation results show that the warning mode of the combined HMI and DMS has the highest level of compliance under light fog conditions, and when fog concentration increases, compliance level of fog warning system with HMI only is higher than others. The study establishes a reference platform for CV system and provides methods and index system for the compliance level of CV research.