视觉长时记忆激活度对促进视觉短时记忆的影响

短时记忆与长时记忆的关系是记忆领域研究的重要内容。基于此, 研究者们就视觉长时记忆是否能促进视觉短时记忆的问题展开了大量研究, 但所得出的结论并不一致。通过不同程度的学习形成不同激活度的视觉长时记忆, 考察对几何图形的视觉长时记忆是否能对变化检测中的短时记忆起到促进作用。结果发现, 低激活水平的视觉长时记忆不能促进视觉短时记忆, 而事先存在且高度激活的视觉长时记忆对视觉短时记忆却具有促进作用; 同时, 随着视觉长时记忆激活水平的提高, 刺激间间隔的效应值也逐渐减小。本研究说明, 视觉长时记忆能否促进视觉短时记忆取决于视觉长时记忆的激活水平, 高激活的视觉长时记忆对阻止视觉短时记忆痕迹的迅速消退具有重要意义。     

Measuring category intuitiveness in unconstrained categorization tasks

What makes a category seem natural or intuitive? In this paper, an unsupervised categorization task was employed to examine observer agreement concerning the categorization of nine different stimulus sets. The stimulus sets were designed to capture different intuitions about classification structure. The main empirical index of category intuitiveness was the frequency of the preferred classification, for different stimulus sets. With 169 participants, and a within participants design, with some stimulus sets the most frequent classification was produced over 50 times and with others not more than two or three times. The main empirical finding was that cluster tightness was more important in determining category intuitiveness, than cluster separation. The results were considered in relation to the following models of unsupervised categorization: DIVA, the rational model, the simplicity model, SUSTAIN, an Unsupervised version of the Generalized Context Model (UGCM), and a simple geometric model based on similarity. DIVA, the geometric approach, SUSTAIN, and the UGCM provided good, though not perfect, fits. Overall, the present work highlights several theoretical and practical issues regarding unsupervised categorization and reveals weaknesses in some of the corresponding formal models.     

The link between preschoolers' executive function and theory of mind and the role of epistemic states

The aim of this study was to assess the specific relation between 3- to 6-year-olds’ performance on a task measuring executive function (EF), the Dimensional Change Card Sort task (DCCS), and different developmental attainments in their theory of mind (ToM) by employing a battery of scaled ToM tasks that were comparable in task format and task demands. In addition, individual differences on the temperamental dimensions emotionality, activity, sociability, and shyness were assessed by parental rating. The main findings show that children’s (N = 195) performance on the DCCS related to their overall performance on the ToM scale but that this relation was specific to those ToM tasks that tap children’s understanding of epistemic states such as knowledge access, diverse beliefs, and false beliefs regarding content and location. The relation between children’s EF and overall ToM performance remained significant after controlling for age, sentence comprehension, child temperament, and parental education. Individual differences in child activity showed consistent negative relation to EF and ToM abilities. The findings point to a differential involvement of the various EF components in reasoning about different mental concepts.     

A Bayesian hierarchical model for the measurement of working memory capacity

Working memory is the memory system that allows for conscious storage and manipulation of information. The capacity of working memory is extremely limited. Measurements of this limit, and what affects it, are critical to understanding working memory. Cowan (2001) and Pashler (1988) suggested applying multinomial tree models to data from change detection paradigms in order to estimate working memory capacity. Both Pashler and Cowan suggested simple formulas for estimating capacity with these models. However, in many cases, these simple formulas are inadequate, and may lead to inefficient or biased estimation of working memory capacity. I propose a Bayesian hierarchical alternative to the Pashler and Cowan formulas, and show that the hierarchical model outperforms the traditional formulas. The models are easy to use and appropriate for a wide range of experimental designs. An easy-to-use graphical user interface for fitting the hierarchical model to data is available.     

How to keep on keeping on: Framing civil rights accomplishments to bolster support for egalitarian policies

Drawing attention to historic increases in equality carries the risk of encouraging complacency about the need to further advance equality. This risk may be reduced by carefully framing the interpretation of increased equality. We apply an influential goal-framing model (Fishbach and Zhang, 2008) to test whether framing the accomplishments of the American Civil Rights Movement in terms of progress toward equality vs. commitment to equality influences white Americans' support for further egalitarian policies. In two experiments, we manipulated whether progress or commitment was in mind when participants considered civil rights accomplishments. As hypothesized, participants more strongly supported egalitarian policies when civil rights accomplishments were framed as evidence of commitment to equality than when these same accomplishments were framed as evidence of progress toward equality. We discuss implications for applying the goal-framing model to political goals and the advantages of using experimental methods to study framing processes in social movements.     

Evaluating models of recognition memory using first- and second-choice responses

Swets, Tanner Jr., and Birdsall (1961) proposed a 4-alternative forced-choice task with two choices (4AFC-2R) for distinguishing between the Equal-Variance Signal Detection model and the One-High Threshold model. This task was recently implemented in the field of recognition memory (Parks & Yonelinas, 2009), a field in which several candidate models have been proposed. One advantage of the 4AFC-2R task is that it permits parameter estimation and goodness of fit testing, something which so far was only possible through the use of Receiver Operating Characteristic (ROC) functions for the more complex candidate models. The present article provides a thorough characterization and comparison of the main recognition memory models in the context of this task. Results are illustrated by a reanalysis of Parks and Yonelinas’ original data, revealing a preference for hybrid approaches to recognition memory, more specifically for the dual-process model (Yonelinas, 1997), whereas pure signal detection models performed poorly. The present analysis provides an assessment of the merits and limitations of this task, highlighting future research applications.     

Actions taken by schools when tobacco policies are violated: associations with adolescent smoking prevalence

This study examined the association of adolescent smoking prevalence with actions taken by schools (i.e., informing parents or disciplining pupils at school) for violating the school tobacco policy. Interaction terms between actions taken by schools and role models' smoking behavior or support for adolescents were also examined. Data were collected using self-completed questionnaires from a nationally representative Norwegian sample of 15-year-olds (1,404 pupils, 51% males) and 73 staff members. Informing parents when the school tobacco policy was violated by contrast with other actions taken by schools was not associated with lower levels of adolescent smoking. Disciplining pupils was associated with lower levels of adolescent smoking but the association was no longer significant when examined together with parents' and teachers' smoking behavior or support. Exposure to parents' and teachers' smoking, and teachers' support were associated with adolescent smoking prevalence, irrespective of actions taken by schools. Identifying the mechanism under which these different home and school factors relate to adolescent smoking may be worthwhile to inform intervention initiatives.