Motives and Consequences of Alcohol Use in People With Social Anxiety Disorder: A Daily Diary Study

People with social anxiety disorder (SAD) are at increased risk for alcohol-related problems. Most research exploring social anxiety and alcohol use has examined negative drinking consequences, with less consideration of positive consequences—namely positive social experiences—that may reinforce alcohol use. In this daily diary study, we examined how adults diagnosed with SAD (N = 26) and a psychologically healthy control group (N = 28) experienced positive drinking consequences in naturally occurring drinking episodes during the study period. For 14 consecutive days, participants answered questions about alcohol use, motives for drinking, and positive consequences of drinking. On days when participants drank, those with SAD were more likely than healthy controls to perceive a reduction in anxiety, but the two groups did not differ in their likelihood of experiencing positive social drinking consequences. For both groups, on days when they were more motivated to drink to enhance social experiences (affiliation motives) or cope with distress (coping motives), they were more likely to obtain positive consequences from drinking. Compared to controls, participants with SAD endorsed stronger trait and daily coping motives (anxiety-coping, social anxiety-coping, and depression-coping). Results are discussed in the context of reinforcement mechanisms that may maintain social anxiety and alcohol use.     

药物成瘾者相关线索反应的自动化用药行为特征及其消退

采用ERP技术考察海洛因成瘾者相关线索下的用药行为的性质和神经机制, 在此基础上结合虚拟现实技术(VR)和途径偏向矫正训练(AAT), 探究基于“相关线索-习惯性用药”联结的自动化用药行为的动作消退、替代训练的有效性。研究发现, (1)相比对照线索, 成瘾者在相关线索下的反应时更长, N1波幅更小, N1潜伏期更短; 相比对照组被试, 成瘾者在相关线索下的行为任务的正确率更低, 反应时更长, N1波幅更小; N1波幅的组间组内差异和潜伏期的组内差异主要集中在中央区。(2)结合VR技术的途径偏向矫正训练后, 训练组被试的生理指标和途径偏向系数显著降低, 且显著低于对照组被试; 追踪测试中, 训练组被试的分数显著低于对照组。这表明相关线索下成瘾者的用药行为具有自动化、无意识的性质, 感觉运动区N1的异常活动是其神经机制之一。VR提取用药动作记忆-AAT消退替代训练, 可以有效削弱或消退成瘾者的成瘾动作倾向, 而且训练效果持续性较好, 可达到减少或停止现实情境中的用药和复吸行为的目的。     

Why people fail to bike the talk: Car dependence as a barrier to cycling

Antecedent conditions of cycling have been extensively studied, yet barriers that prevent individuals from choosing bicycle transportation are less known. The present study, conducted on a sample of individuals who were both cyclists and drivers (N = 280), investigated whether dependence on car transportation significantly reduces cycling frequency. It also assessed the predictive validity of a larger set of cycling determinants that included moral, objective environmental, demographic and car-related variables. Responses were analyzed using a structural equation modeling approach. Results show that moral considerations do little to predict cycling frequency and that car-related factors such as perceived behavioral control to reduce car use (β = 0.28) and car use habits (β = -0.27) have the strongest predictive power. Objective environmental factors such as temperature (β = -0.13) and altitude (β = -0.15) or demographic factors such as gender (β = 0.19) were also significant predictors of cycling frequency. The present study highlights a new perspective of understanding cycling behavior and pleads for the inclusion of car-related factors in its future conceptualizations and interventions to encourage it.     

Driving distraction at night: The impact of cell phone use on driving behaviors among young drivers

Currently, young drivers are more likely than other drivers to use cell phones while driving at night, which has become a major cause of road crashes. However, limited attention has been given to distracted nighttime driving. Therefore, the aim of this study was to explore the interaction effect of cell phone use and time of day (daytime and nighttime) on young drivers’ car-following performance. Forty-three young drivers engaged in a driving simulator experiment with a within-subject design that included three distractions (no distraction, talking and texting on a cell phone) and two times of day. This paper applied non-parametric tests to analyze the data and obtained the following results: (1) the standard deviation of lane position (SDLP) did not significantly differ at either time of day under no distraction, but it was significantly higher at night on straight roads and large-radius curves after introducing distractions. In addition, participants drove faster and gave less headway on small-radius curves under both distractions at night; (2) texting significantly increased the SDLP, while there was less lateral variation during the talking tasks than under no distraction on simple road sections; and (3) compared with the experienced drivers, the novice drivers drove faster during the talking tasks on small-radius curves, but there was no significant difference between groups during the texting tasks. These findings provide both theoretical and practical implications for related policy makers to enhance traffic safety.     

Exploring the usage of supervised driving automation in naturalistic conditions

This study reports usage of supervised automation and driver attention from longitudinal naturalistic driving observations. Automation inexperienced drivers were provided with instrumented vehicles with adaptive cruise control (ACC) and lane keeping (LK) features (SAE level 2). Data was collected comparing one month of driving without support to two months where drivers were instructed to use automation as desired.On highways, level 2 automation was used respectively 63% and 57% of the time by Tesla and BMW users, with peak usage during slow stop-and-go traffic (0–30 km/h) and higher speeds (>80 km/h). On roads with speed limits below 70 km/h, automation was used less than 8%, and use on urban roads was incidental rather than habitual. Automation usage increased with time in trip, but no clear time of day effects were found. Head pose data could not classify driver attention, and we recommend gaze tracking in future studies. Head pose deviation was selected as alternative indicator for monitoring activity. Comparing among forms of automation usage on the highway, head heading deviation was smallest during ACC use, but did not differ between automation and baseline manual driving. Head heading deviation during manual driving was smaller in the baseline than the experimental phase, which suggests that motives for manual highway driving may be attention related. Automation usage did not change much over the first 12 weeks of the experimental condition, and there were no longitudinal changes in head pose deviation.     

Is all high-risk behaviour premeditated? A qualitative exploratory approach to the self-regulation of habitual and risky driving behaviours

The majority of research surrounding the intervention of risky driving behaviours has operated on the notion that offending behaviour is intentional, leading to a defined theoretical approach on deterrence. This study aimed to investigate the motivations, regulatory behaviours and resisting beliefs that contribute to the occurrence of risky driving behaviours, from the perspective that some behaviour may be unintentional and habitual by nature. An online sample of Australian drivers (N = 46) were recruited to complete a qualitative phone interview regarding their perceptions of risky driving behaviours. Thematic analysis revealed that firstly, speeding and the use of technology while driving (i.e., distraction) were the most commonly reported risky driving habits. Speeding in particular appeared to be both habitual and unintentional, whereas phone use while driving was attributable to addiction, impulses and attitudes. Factors such as drivers’ mentality, the automaticity of the behaviour, and social norms were perceived to make habitual behaviours more difficult to change, whilst personal experiences with legal and physical consequences were perceived to increase risk perceptions and promote behavioural change. Participants also reported using cognitive reframing strategies and behaviours to increase and maintain awareness of the behaviours. Overall, this study has highlighted the resistant and multi-dimensional nature of risky driving habits, as well as the situational factors that preclude them. Based on the findings, future research may benefit by focusing efforts to understanding how habituality fits in the broader deterrence literature, and how such behaviours can be best intervened.     

谈谈心理学研究设计的基本逻辑 ——答《关于两项样例学习心理实验研究报告的分析与评论》

对Ross1987年与1989年关于样例表面概貌影响原理通达与原理运用的两项研究以及莫雷2000年针对Ross关于“表面概貌不影响原理运用”的结论所进行的研究进行了分析,然后指出,莫雷2000年根据对Ross的研究结论的质疑所做的研究是逻辑严密的,根据莫雷的实验设计及结果,可以得出“表面概貌影响了原理运用”的结论。邵文对莫雷的研究的质疑,首先是由于对心理学因果研究的基本设计逻辑不了解,同时也由于对莫雷的实验逻辑不理解,其批评是难以成立的。     

青少年的时间透视、应对方式与互联网使用的关系

通过问卷法调查了589名青少年(M=15 07,SD=1 37)的互联网使用状况。研究发现不同时间透视占优个体可以通过应对方式预测青少年的病理性互联网使用(Pathological Internet Use,PIU)。进一步说,青少年群体中存在的严重PIU是类似于物质使用的一种新的心理行为问题,但严重PIU可能具有不同于物质使用的某些特点,即现在定向占优个体比未来定向占优个体更容易感知到PIU,但不同时间定向占优个体都可能感知到PIU。研究证实青少年更多采用"问题解决"一种应对方式与较少使用"幻想、发泄"两种应对方式,有利于其受益互联网使用。     

行为表现与言语报告:3～5岁儿童的一级观点采择(英文)

为考察3~5岁儿童一级观点采择的行为表现与言语报告之间的潜在差异,本研究采用"单面镜"范式设计了两个实验。实验1中,54名儿童成对与实验者一起完成观点采择游戏,逻辑回归分析结果表明3-5岁儿童的行为表现不存在显著差异(B=?0.225,Wald=0.38,p=0.541)。方差分析也没有发现儿童的行为表现和言语报告存在差异。由于实验1中的编码系统存在一些局限,并且缺少对儿童偏好的控制,因此在实验2中进行了改进。实验2选择了另外60名3~5岁儿童完成藏玩具游戏。方差分析发现了实验范式类型(行为表现或言语报告)、年龄和性别的三因素交互作用(F(2,48)=3.55,p=0.037,η2=0.13)。结果表明随着年龄增加,男孩与女孩一级观点采择的行为表现都显著提高,而男孩言语报告的提高程度显著低于女孩。总体而言,考察儿童一级观点采择时,行为表现可能比言语报告提供更多信息。