Cognitive mechanisms of mindfulness: A test of current models

Existing models of mindfulness describe the self-regulation of attention as primary, leading to enhanced decentering and ability to access and override automatic cognitive processes. This study compared 23 experienced and 21 non-meditators on tests of mindfulness, attention, decentering, and ability to override automatic cognitive processes to test the cognitive mechanisms proposed to underlie mindfulness practice. Experienced meditators had significantly higher mindfulness and decentering than non-meditators. No significant difference between groups was found on measures of attention or ability to override automatic processes. These findings support the prediction that mindfulness leads to enhanced decentering, but do not support the cognitive mechanisms proposed to underlie such enhancement. Since mindfulness practice primarily involves internally directed attention, it may be the case that cognitive tests requiring externally directed attention and timed responses do not accurately assess mindfulness-induced cognitive changes. Implications for the models of mindfulness and future research are discussed.     

Coordination and movement pathology: models of structure and function

Here we consider the role of abstract models in advancing our understanding of movement pathology. Models of movement coordination and control provide the frameworks necessary for the design and interpretation of studies of acquired and developmental disorders. These models do not however provide the resolution necessary to reveal the nature of the functional impairments that characterise specific movement pathologies. In addition, they do not provide a mapping between the structural bases of various pathologies and the associated disorders of movement. Current and prospective approaches to the study and treatment of movement disorders are discussed. It is argued that the appreciation of structure–function relationships, to which these approaches give rise, represents a challenge to current models of interlimb coordination, and a stimulus for their continued development.     

Analysis of meteorological conditions in Spain by means of clustering techniques

A comprehensive analysis of clustering techniques is presented in this paper through their application to data on meteorological conditions. Six partitional and hierarchical clustering techniques (k-means, k-medoids, SOM k-means, Agglomerative Hierarchical Clustering, and Clustering based on Gaussian Mixture Models) with different distance criteria, together with some clustering evaluation measures (Calinski–Harabasz, Davies–Bouldin, Gap and Silhouette criterion clustering evaluation object), present various analyses of the main climatic zones in Spain. Real-life data sets, recorded by AEMET (Spanish Meteorological Agency) at four of its weather stations, are analyzed in order to characterize the actual weather conditions at each location. The clustering techniques process the data on some of the main daily meteorological variables collected at these stations over six years between 2004 and 2010.     

The Role of Person‐Culture Fit in Chinese Students' Cultural Adjustment in the United States: A Galileo Mental Model Approach

This article used a Galileo multidimensional scaling model to explain how intercultural communication affected sojourners' wellbeing in their host culture through the convergence of the mental models between sojourners and host nationals with whom the sojourners communicated. Participants were 126 sojourning Chinese in the United States and 30 associated domestic Americans. Data were collected shortly after the Chinese sojourners arrived in the United States and again 3 months later. A measure of person‐culture fit was generated by comparing each Chinese sojourner's mental model with the aggregate mental model of the associated domestic Americans. Results showed that the amount of intercultural communication had a significant effect on person‐culture fit, in turn affecting sojourners' adaptation outcomes. Theoretical and practical implications of the results are discussed.     

Measuring driver-vehicle cooperation: Development and validation of the Human-Machine-Interaction-Interdependence Questionnaire (HMII)

The development of partially and highly autonomous vehicles that take over parts of the driving task will result in changes in e.g. the responsibilities, interface and system design, task allocation and communication between driver and automated vehicle. To support this change and the increasing space of cooperative possibilities between driver and vehicle, generally accepted design principles and preconditions for successful driver-vehicle cooperation (Directability, Mutual Predictability, Joint Goals and Mutual Task-Dependency) were defined. However, research lacks validated scales measuring the proposed basic principles of driver-vehicle cooperation. Furthermore, a theory is missing that links those basic principles with a theory that enables an understanding of the influence of drivers' perception of the autonomous vehicle and context on driver-vehicle cooperation. Therefore, this work links the basic theoretical principles of driver-vehicle cooperation with the social psychological Theory of Interdependence and their dimensions (Conflict, Power, Mutual Dependence, Information Certainty, Future Interdependence). Filling the gap of missing validated scales for the principles of driver-vehicle cooperation, this study provides the development and validation of the Human-Machine-Interaction-Interdependence (HMII) questionnaire.In two studies, the new HMII questionnaire to measure drivers' perception in driver-vehicle cooperation was developed. In the first study (n = 94), items for the perception of the situation were transferred from the original Theory of Interdependence to the driver-vehicle cooperation. A 7-dimension model was identified via Explorative Factor Analysis. In the second study (n = 314), the model and items were validated via confirmatory factor analysis. A seven-factor model (Power, Conflict, Mutual Dependence Information Certainty: System to Human, Information Certainty (two levels) Future Interdependence (two levels) with 33 items showed a good fit to the data, chi² = 841, p < .001, adjusted chi² = 1.77, SRMR = 0.071. In sum, this questionnaire can help designers evaluate the impact of their system designs on driver perceptions of the driver-vehicle cooperation.     

Myths, models, and metaphors: Religion as model and the philosophy of science

Clifford Geertz's widely-used paper ‘Religion as a Cultural System’, makes the claim that ‘the importance of religion lies in its capacity to serve … as a source of general, yet distinctive conceptions of the world, the self and the relations between them …—its model of aspect—and of rooted, no less distinctive “mental” dispositions—its model for aspect’. However, apart from a highly critical article by Nancy Frankenberry and Hans Penner (1999) little attempt has been made to investigate this understanding of religion as model. This paper briefly considers the validity of Frankenberry and Penner's criticism and investigates possible applications of the elaborate analysis of models and metaphors in the philosophy of science since the time of Mary Hesse to the analysis of religious phenomena.     

团队作业与团队互动两类共享心智模型的发展特征

共享心智模型指团队成员关于团队作业、策略、团队情境、团队互动等的共同的知识结构,根据内容不同可以分为团队作业模型和团队互动模型两类。该研究通过实验室实验探讨两类共享心智模型的发展特征。132名大学生组成44个3人团队,随机分为团队绩效反馈组和无团队绩效反馈组。采用相似性评定法在团队执行作业前、中、后三次测量两类共享心智模型。结果发现：（1）共享心智模型随团队运作时间增加而发展;（2）团队互动模型形成和发展的难度高于团队作业模型;（3）团队绩效反馈对两类心智模型发展的作用不同,反馈加速了团队作业模型的发展速度,但却是团队互动模型能否得以发展的决定性因素。两类共享心智模型的不同发展特征应归因于两者特异性高低的不同     

Self-esteem is a shared relationship resource: Additive effects of dating partners’ self-esteem levels predict relationship quality

Though self-esteem is known to positively impact individuals’ romantic relationship outcomes and those of their partners, the interactive nature of both partners’ self-esteem levels has not been systematically investigated. Using actor-partner interdependence model analyses we estimated actor, partner, and four types of dyadic effects of self-esteem on relationship quality in a sample of over 500 heterosexual dating couples. Lower self-esteem individuals and their partners reported lower satisfaction and commitment to their relationships than did higher self-esteem individuals and their partners. An additive effect whereby both partners’ self-esteem levels combine to predict relationship quality best described the dyadic effects. Results highlight the importance of considering the interactive nature of individual characteristics in dyadic research.     

Vicarious dishonesty: When psychological closeness creates distance from one’s moral compass

In four studies employing multiple manipulations of psychological closeness, we found that feeling connected to another individual who engages in selfish or dishonest behavior leads people to behave more selfishly and less ethically themselves. In addition, psychologically connecting with a scoundrel led to greater moral disengagement. We also establish that vicarious justification is the mechanism explaining this effect: When participants felt psychologically close to someone who had behaved selfishly, they were more likely to consider the behavior to be less shame-worthy and less unethical; it was these lenient judgments that then led them to act more unethically themselves. These vicarious effects were moderated by whether the miscreant was identified with a photograph and by the type of behavior. Importantly, we establish a general process of vicariousness: psychological closeness produced both vicarious generosity and selfishness depending on the behavior of the person one feels psychologically connected to. These findings suggest an irony of psychological closeness: it can create distance from one’s own moral compass.