Synthesis of asymmetric movement trajectories in timed rhythmic behaviour by means of frequency modulation

Results from different empirical investigations on gestural aspects of timed rhythmic movements indicate that the production of asymmetric movement trajectories is a feature that seems to be a common characteristic of various performances of repetitive rhythmic patterns. The behavioural or neural origin of these asymmetrical trajectories is, however, not identified. In the present study we outline a theoretical model that is capable of producing syntheses of asymmetric movement trajectories documented in empirical investigations by Balasubramaniam et al. (2004). Characteristic qualities of the extension/flexion profiles in the observed asymmetric trajectories are reproduced, and we conduct an experiment similar to Balasubramaniam et al. (2004) to show that the empirically documented movement trajectories and our modelled approximations share the same spectral components. The model is based on an application of frequency modulated movements, and a theoretical interpretation offered by the model is to view paced rhythmic movements as a result of an unpaced movement being “stretched” and “compressed”, caused by the presence of a metronome. We discuss our model construction within the framework of event-based and emergent timing, and argue that a change between these timing modes might be reflected by the strength of the modulation in our model.     

Opinion Climates in Social Media: Blending Mass and Interpersonal Communication

Social media's capacity for users to generate, comment on, and forward content (including mass media messages) to other users has created new forms of mass interpersonal communication. These systems render observable processes underlying the formation of opinion climates. Five attributes of contemporary electronic opinion environments can alter the way users gauge, form, and express opinions on topics of public interest: the juxtaposition of mass media and user‐generated content, ideological homogeneity and heterogeneity of online networks, technical ease with which to express opinions, the reach of messages, and networked audiences. These attributes facilitate analysis of theoretical and empirical works from different scholarly traditions, suggesting lines of inquiry that can enrich the analysis of (public) opinion formation via current communication technologies.     

基于IRT模型的儿童图形推理能力动态评估研究

MRMLC模型是一种常见的动态评估项目反应理论模型。本研究结合小学儿童图形推理能力发展的特点,采用前测-干预-后测的动态评估模式,对来自江西省北部的四到六年级共177名儿童的图形推理能力进行了基于MRMLC模型的动态评估。研究结果表明通过动态评估我们不仅可以获知儿童图形推理能力的当前水平;而且,还可以进一步分析和比较儿童在各测量情景所测的潜在水平。     

Further attempts to clarify the importance of category variability for categorisation

The issue of how category variability affects classification of novel instances is an important one for assessing theories of categorisation, yet previous research cannot provide a compelling conclusion. In five experiments we reexamine some of the factors thought to affect participant performance. In Experiments 1 and 2, participants almost always classified the test item as belonging to the high variability category. By contrast, in Experiment 3 we employed an alternative experimental paradigm, where the difference in variability of the two categories was less salient. In that case, participants tended to classify a test item as belonging to the low variability category. Two additional experiments (4 and 5) explored in detail the differences between Experiments 1, 2 on the one hand, and 3 on the other. Some insight into the underlying psychological processes can be provided by computational models of categorisation, and we focus on the continuous version of Anderson's (1991) Rational Model, which has not been explored before in this context. The model predicts that test instances exactly halfway between the prototypes of two categories should be classified into the more variable category, consistent with the bulk of empirical findings. We also provided a comparison with a slightly reduced version of the Generalised Context Model (GCM) to show that its predictions are consistent with those from the Rational Model, for our stimulus sets.     

贝叶斯推理的三重加工心智模型

自二十世纪60年代Edwards首次用实验研究人类推理是否遵循贝叶斯规则以来,国内外贝叶斯推理研究取得了长足的发展,但也出现了一些困境:对影响贝叶斯推理的客体因素和主体因素研究未成体系,解释理论莫衷一是。未来的研究应该重新审视客体与主体的关系,系统整合和多角度分析影响贝叶斯推理的因素,尝试以三重加工心智模型解释人类贝叶斯推理行为,并对以往的解释理论进行融合,从而更好地揭示人类不确定性决策的本质。     

Evidence for an emotion-cognition interaction in the statistical prediction of suicide attempts

Suicidal behavior is a prevalent problem among adolescents and young adults. Although most theoretical models of suicide suggest that this behavior results from the interaction of different risk factors, most prior studies have tested only bivariate associations between individual risk factors and suicidal behaviors. The current study was designed to address this limitation by testing the effect of an emotion–cognition interaction on suicide attempts among youth. Specifically, we hypothesized that the interaction of emotion reactivity and problem-solving skills would statistically predict the probability of a recent suicide attempt among 87 adolescents and young adults. Results revealed a significant interaction, such that emotion reactivity was strongly associated with the probability of a suicide attempt among those with poor problem-solving skills, moderately associated among those with average problem-solving skills, and not significantly associated among those with good problem-solving skills. The next generation of studies on suicidal behavior should continue to examine how risk factors interact to predict this dangerous outcome.