The Role of Gesture in Supporting Mental Representations: The Case of Mental Abacus Arithmetic

People frequently gesture when problem‐solving, particularly on tasks that require spatial transformation. Gesture often facilitates task performance by interacting with internal mental representations, but how this process works is not well understood. We investigated this question by exploring the case of mental abacus (MA), a technique in which users not only imagine moving beads on an abacus to compute sums, but also produce movements in gestures that accompany the calculations. Because the content of MA is transparent and readily manipulated, the task offers a unique window onto how gestures interface with mental representations. We find that the size and number of MA gestures reflect the length and difficulty of math problems. Also, by selectively interfering with aspects of gesture, we find that participants perform significantly worse on MA under motor interference, but that perceptual feedback is not critical for success on the task. We conclude that premotor processes involved in the planning of gestures are critical to mental representation in MA.     

Journalism as Model for Civic and Information Literacies

Journalism can serve as a generative disciplinary context for developing civic and information literacies needed to meaningfully participate in an increasingly networked and mediated public sphere. Using interviews with journalists, we developed a cognitive task analysis model, identifying an iterative sequence of production and domain-specific cognitive constructs of journalism expertise. We diagnose common discrepancies between professional practices and typical youth journalism pedagogies, and offer suggestions for teaching participatory politics and civic literacies through journalism.     

The role of task preference in the effectiveness of response interruption and redirection

Response interruption and redirection (RIRD) is a common treatment for automatically reinforced vocal stereotypy; it involves the contingent presentation of task instructions. Tasks that are included in RIRD are typically selected based on caregiver report, which may affect the efficacy of RIRD. The purpose of the current study was to evaluate the role of task preference in the efficacy of RIRD for four participants who engaged in vocal stereotypy. We conducted task-preference assessments and selected tasks of varying preferences to include in RIRD. For three out of four participants, the results showed that RIRD with higher preference tasks was not effective at reducing vocal stereotypy, whereas RIRD with lower preference tasks was effective for all participants.     

How is the visual working memory load of driver influenced by information density of traffic signs?

The rapid development of urban roads has resulted in an increase in the amount of information that needs to be displayed on traffic signs. The overloading of information on traffic signs may increase drivers’ visual cognition burden and cause driving errors. It could be an important factor affecting driving safety and result in accidents. To enable drivers to cognize traffic signs, the information density that they could endure under reasonable workload levels should be determined. In this study, we designed and implemented trials to analyze drivers’ visual working memory load (VWML) caused by different information densities (including stimulus intensity (SI) and interval time of stimulus (IS)) of traffic signs. Twenty-four paid participants (12 females) with a mean age of 23.38 years (SD = 1.38) participated in laboratory simulation trials based on the memory retrieval approach. Subjective ratings (rating scale mental effort (RSME)), and performance measurement based on reaction time and accuracy of information-matching task were measured to reflect drivers’ VWML at different information densities. The results show that information density is an important factor affecting drivers’ VWML. The following are the significant observations of the study: (1) The subjective ratings on mental effort increased with increase in the SI. Meanwhile, it first decreased and then increased with increase in the IS. (2) The response accuracy results show that a high accuracy (≥0.7) was achieved by drivers in an IS of 15 s when the SI was at most 14.16 bit/m². Correspondingly, the drivers underwent less mental workload as a result of their better short-term memory characteristic. (3) The mean reaction time was over 1800 ms when the SI was over 14.16 bit/m². This indicated a reduction in the information-processing capability of the drivers. The results indicate that cognition of information of unreasonable density on traffic signs would increase drivers’ VWML. This would, in turn, result in an increase in their reaction time and decrease in accuracy. The threshold of information density was also determined through the experiment. It would satisfy the information demand of drivers and prevent information redundancy. The results contribute to an understanding of drivers’ VWML while cognizing traffic signs with different information densities and provide safety, effectiveness, and information continuity considerations for the design and setting of traffic signs.     

Impact of the driver’s visual engagement on situation awareness and takeover quality

During automated driving (SAE Level 3), drivers can delegate control of the vehicle and monitoring of the road to an automated system. They may then devote themselves to tasks other than driving and gradually lose situational awareness (SA). This could result in difficulty in regaining control of the vehicle when the automated system requires it. In this simulator study, the level of SA was manipulated through the time spent performing a non-driving task (NDRT), which alternated with phases where the driver could monitor the driving scene, prior to a critical takeover request (TOR). The SA at the time of TOR, the visual behaviour after TOR, and the takeover quality were analysed. The results showed that monitoring the road just before the TOR allowed the development of limited perception of the driving situation, which only partially compensated for the lack of a consolidated mental model of the situation. The quality of the recovery, assessed through the number of collisions, was consistent with the level of development of SA. The analysis of visual behaviour showed that engagement in the non-driving task at the time of TOR induced a form of perseverance in consulting the interface where the task was displayed, to the detriment of checking the mirrors. These results underline the importance of helping the driver to restore good SA well in advance of a TOR.     

孤芳自赏还是乐于助人?员工自恋对亲社会行为的影响

本研究通过整合自恋双元理论和特质激活理论, 探讨欣赏型自恋、敌对型自恋对员工亲社会行为的影响机制, 深入分析了员工关系趋近型动机和关系回避型动机的中介作用以及任务相互依赖性的调节作用。通过对来自员工-同事二阶段配对的235份数据进行分析, 结果发现: 欣赏型自恋对员工亲社会行为具有显著的正向影响, 敌对型自恋对员工亲社会行为具有显著的负向影响; 关系趋近型动机在欣赏型自恋与员工亲社会行为之间发挥着中介作用, 关系回避型动机在敌对型自恋与员工亲社会行为之间没有发挥中介作用; 任务相互依赖性不仅正向调节欣赏型自恋与员工关系趋近型动机的直接效应, 而且还正向调节着欣赏型自恋通过关系趋近型动机对亲社会行为的间接效应。     

Training and Supervising Lay Providers in Kenya: Strategies and Mixed-Methods Outcomes☆☆☆

ObjectiveTraining lay providers to deliver mental health interventions is both effective and cost-effective. However, more research is needed to document training and supervision procedures and to collect lay providers’ feedback.MethodsThis study documents training and supervision from a randomized controlled trial of the Shamiri intervention, a four-session, school-based intervention that significantly reduced symptoms of anxiety and depression in Kenyan adolescents. We delivered a 10-hour training to 13 lay providers, M (SD)_age = 21.00 (1.95), %_female = 61.54. We also hosted 30-minute supervision meetings twice weekly. Training and supervision were delivered primarily by undergraduates. Independent raters coded session recordings for fidelity and quality of services, and we collected quantitative and qualitative feedback from lay providers.ResultsReliability and mean ratings for all six of our fidelity and quality measures (delivering required content, adhering to specified details, thoroughness, skillfulness, clarity, and purity) were very good to excellent. Lay provider quantitative ratings of training were also overwhelmingly positive, with an overall satisfaction rating of 6.46/7.00. We identified central qualitative themes in lay provider comments: Generally, comments about training style, content, and personal interactions were overwhelmingly positive, and many lay providers reported personal growth. Comments about timing and location of training were mixed.ConclusionsThis study provides preliminary evidence that a very brief training delivered primarily by undergraduates can teach high school-graduate lay providers to deliver effective mental health interventions. Additionally, we discuss lessons learned and implications for future research, including the importance of considering local context when planning and of continuously collecting and addressing lay provider feedback.     

Bio-inspired computational object classification model for object recognition

Human beings can effortlessly perceive stimuli through their sensory systems to learn, understand, recognize and act on our environment or context. Over the years, efforts have been made to enable cybernetic entities to be close to performing human perception tasks; and in general, to bring artificial intelligence closer to human intelligence.Neuroscience and other cognitive sciences provide evidence and explanations of the functioning of certain aspects of visual perception in the human brain. Visual perception is a complex process, and its has been divided into several parts. Object classification is one of those parts; it is necessary for carrying out the declarative interpretation of the environment. This article deals with the object classification problem.In this article, we propose a computational model of visual classification of objects based on neuroscience, it consists of two modular systems: a visual processing system, in charge of the extraction of characteristics; and a perception sub-system, which performs the classification of objects based on the features extracted by the visual processing system.With the results obtained, a set of aspects are analyzed using similarity and dissimilarity matrices. Also based on the neuroscientific evidence and the results obtained from this research, some aspects are suggested for consideration to improve the work in the future and bring us closer to performing the task of visual classification as humans do.     

工作时间与工作绩效的非线性关系：一项元分析

基于42篇文献的64项独立研究, 总样本量为22843人的数据, 对工作时间与工作绩效的非线性关系进行了元分析。结果发现：(1)工作时间与任务绩效、关系绩效之间存在显著的倒U型关系; (2)国家类型的调节作用显著：相对于西方欧美国家, 工作时间与任务绩效、关系绩效的倒U型关系在中国更为显著; (3)产业类型的调节作用显著：相对于劳动、资本密集型产业, 工作时间与任务绩效的倒U型关系在知识密集型产业中更为显著; (4)年龄的调节作用显著：相对于高年龄水平, 工作时间与任务绩效的倒U型关系在低年龄水平群体中更为显著; (5)性别的调节作用显著：相对于低男性比例, 工作时间与关系绩效的倒U型关系在高男性比例群体中更为显著。结果不仅基于元分析厘清了工作时间与工作绩效的倒U型关系效应, 而且为劳动法中工时规定(例如周均工作时间不超过44小时)的合理性提供了科学依据, 警示组织注意工作时间对工作绩效的“过犹不及”效应。