汉语发展性阅读障碍儿童视觉同时性加工技能子成分的发展及其与阅读的关系

通过分别以高频汉字(实验1)和图形非言语材料(实验2)为刺激的两个联合视觉注意任务, 并采用基于Budensen视觉注意理论的参数估计方法, 系统地探查小学三~六年级汉语发展性阅读障碍儿童的视觉同时性加工技能缺陷的内在机制。以43名汉语发展性阅读障碍儿童和46名生理年龄匹配典型发展儿童为被试, 每类被试均被分为小学中年级组(三、四年级)和高年级组(五、六年级)。两个实验均发现不同年级组的阅读障碍儿童在知觉加工速度参数上显著小于控制组儿童。在空间注意分布权重参数上, 实验1的结果显示, 不同于控制组儿童向左侧化发展的注意分布模式, 两个年级组的阅读障碍儿童均表现为无偏的注意分布; 而实验2未发现显著组别差异。且这两种同时性加工子技能分别与不同水平的汉语阅读技能密切相关。结果表明, 汉语阅读障碍儿童在同时加工多个视觉刺激时存在持续的知觉加工速度缓慢的问题, 在同时加工言语类刺激时还表现出异常的空间注意分布模式。本研究有助于从基础认知层面揭示汉语发展性阅读障碍儿童的缺陷机理, 为进一步设计相关的提高阅读效率的干预方案提供理论依据。     

基本需要在导师排斥感知与研究生心理健康的关系中的作用

为探讨导师排斥感知对研究生心理健康的影响及作用机制,本研究采用导师排斥感知问卷、基本需要问卷、生活满意度量表、简版流调中心抑郁量表及攻击问卷,对北京市六所本科院校的864名在校硕士和博士研究生进行问卷调查。结果发现：（1）导师排斥感知正向预测研究生的抑郁和攻击性,负向预测其生活满意度;（2）基本需要在导师排斥感知与研究生的生活满意度、抑郁之间起着完全中介作用,在导师排斥感知与攻击性之间起部分中介作用。结果表明,研究生导师排斥感知越强,基本需要的满足水平越低,进而导致研究生的抑郁水平越高、攻击性越强、生活满意度越低。即研究生感知的导师排斥感越强,其心理健康水平越低。     

Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty

The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require time-consuming reanalysis to reconstruct a discarded parse. A more recent proposal argues that the garden-path effect can be reduced to surprisal arising in a fully parallel parser: words consistent with the initially dispreferred but ultimately correct parse are simply less predictable than those consistent with the incorrect parse. Since predictability has pervasive effects in reading far beyond garden-path sentences, this account, which dispenses with reanalysis mechanisms, is more parsimonious. Crucially, it predicts a linear effect of surprisal: the garden-path effect is expected to be proportional to the difference in word surprisal between the ultimately correct and ultimately incorrect interpretations. To test this prediction, we used recurrent neural network language models to estimate word-by-word surprisal for three temporarily ambiguous constructions. We then estimated the slowdown attributed to each bit of surprisal from human self-paced reading times, and used that quantity to predict syntactic disambiguation difficulty. Surprisal successfully predicted the existence of garden-path effects, but drastically underpredicted their magnitude, and failed to predict their relative severity across constructions. We conclude that a full explanation of syntactic disambiguation difficulty may require recovery mechanisms beyond predictability.     

Performance of Mental Health Counselors in Integrated Primary and Behavioral Health Care

Integrated primary and behavioral health care (IPBH) is becoming a preferred mode of service delivery in the United States. Integrated care includes the participation of medical and mental health professionals, such as mental health counselors. The clinical outcomes of these professionals need to be studied to determine their effectiveness in such settings. We examined the performance of 10 mental health counselors on the clinical outcome of 1,747 clients treated in an IPBH center. Analyses using growth curve modeling and pre‐post test design revealed that mental health counselors were effective overall, but they differed in client dropout rates and efficiency in reducing clients' initial symptoms. We used the analyses to rank order counselors based on their effectiveness. Counselors who were the most effective varied in their efficiency but demonstrated the lowest client dropout rates. Implications for future research and counseling practice were discussed.     

Collaborative competence,social capital,and mental health: A cross‐sectional analysis of a community‐based intervention for older adults

Social capital interventions for the mental health of older adults have been inconclusive to date, and have rarely investigated the psychological resources that are important to having social capital. This study focused on the “Neighborhoods in Solidarity” (NS), which are a series of Swiss community‐based interventions that aim to empower older adults to participate in their communities. Our goal was to understand whether the NS were associated with collaborative competence, social capital, and subsequently, symptoms of depression. Cross‐sectional data were collected from 947 individuals aged 55 and over (M_age = 68.66, SD = 9.04) in 10 Swiss neighbourhoods (five with the NS [n = 479] and five control neighbourhoods [n = 468]). Structural equation modelling was used to model the relationship between the NS intervention, collaborative competence, cognitive and structural dimensions of social capital, and symptoms of depression (measured by the CESD‐R‐10). Individual participation in the NS had total and indirect effects on symptoms of depression via collaborative competence and both social capitals. These findings suggest that existing community‐based interventions can be indirectly associated with better mental health outcomes in the ageing population.     

Elucidating the mental processes underlying the direct retrieval of autobiographical memories

The literature on autobiographical memory retrieval has directed much attention to the concepts of direct retrieval (fast, automatic retrieval) and generative retrieval (slower, deliberative/strategic retrieval). Among the many findings reported on these phenomena, their relative prevalence has stood out as a central feature in many studies, with most studies reporting the frequency of direct retrieval as equal to or exceeding generative retrieval. In this study, we used the retrieve-aloud procedure (a method where participants verbalize their thoughts while retrieving) to delve more deeply into the nature of reports of ubiquitous direct retrieval. We hypothesized that much of the direct retrieval reported in literature is not bona fide direct retrieval (i.e., seemingly automatic retrieval), but is a combination of other retrieval processes, including generative-like retrieval processes. Our results supported this view, showing that less than one-half of all of the observed direct retrievals were bona fide direct retrieval, while the rest were a form of generative retrieval, or fell somewhere in between direct and generative retrieval. We argue that the results suggest that the prevalence of direct retrieval may be overestimated in the literature, and we further propose an alternative classification schema for direct retrievals.     

Intraindividual variability in driving simulator parameters of healthy drivers of different ages

Intraindividual variability is a fundamental behavioural characteristic of aging but has been examined to a very limited extent in driving. This study investigated intraindividual variability in driving simulator measures in healthy drivers of different ages using the coefficient of variation (COV) as a variability measure. Participants were healthy volunteers who were regular drivers, who were divided into a “young” group, a “middle-aged” group, and an “old” group. They drove in two environments (rural, 72 drivers; urban, 60 drivers), under conditions of moderate and high traffic load, without and with distraction (conversation). Significant differences in COV were observed in the rural condition for headway distance and lateral position as a function of traffic load, with high traffic (without and with distraction) resulting in increased COV of headway and decreased COV of lateral position. Significant differences in COV were observed in the urban condition for headway distance only, with high traffic (without and with distraction) resulting in increased COV of headway. No age effects were found for any of the driving conditions. The results indicate that traffic load affected headway distance and lateral position in opposite directions in all three age groups: high traffic resulted in increased variability of headway in both rural and urban conditions but in decreased variability of lateral position in the rural conditions compared to moderate traffic irrespective of distraction. The study indicates that driving conditions affect the intraindividual variability of driving measures in selective ways, which may be linked to the extent of automatization of the driving variables and to adaptive changes to traffic condition challenges.     

Adaptations in driver deceleration behaviour with automatic incident detection: A naturalistic driving study

Traffic congestion and crash rates can be reduced by introducing variable speed limits (VSLs) and automatic incident detection (AID) systems. Previous findings based on loop detector measurements have revealed that drivers reduce their speeds while approaching traffic congestion when the AID system is active. Notwithstanding these behavioural effects, most microscopic traffic flow models assessing the impact of VSLs do not describe driver response accurately.This study analyses the main factors that influence driver deceleration behaviour while approaching traffic congestion with and without VSLs. The Dutch VSL database was linked to the driver behaviour data collected in the UDRIVE naturalistic driving study. Driver engagement in secondary tasks and glance behaviour were extracted from the video data. Linear mixed-effects models predicting the characteristics of deceleration events were estimated.The results show that the maximum deceleration is high when approaching a slower leader, when driving at high speeds and short distance headways, and close to the beginning of traffic congestion. The minimum time headway is short when driving at high speeds and changing lanes. Certain drivers showed higher decelerations and shorter time headways than others. Controlled for these main factors, smaller maximum decelerations were found when the VSLs were present and visible, and when the gantries were within close proximity. These factors could be incorporated into microscopic traffic simulations to evaluate the impact of AID systems on traffic congestion more realistically. Further research is needed to clarify the link between engagement in secondary tasks, glance behaviour and deceleration behaviour.