Meditation Awareness Training (MAT) for Improved Psychological Well-being: A Qualitative Examination of Participant Experiences

Mindfulness-based interventions are reported as being efficacious treatments for a variety of psychological and somatic conditions. However, concerns have arisen relating to how mindfulness is operationalized in mindfulness-based interventions and whether its ‘spiritual essence’ and full potential treatment efficacy have remained intact. This qualitative study used interpretative phenomenological analysis to examine participant experiences regarding the acceptability and effectiveness of a newly designed secularized intervention called meditation awareness training (MAT) that follows a more traditional Buddhist approach to meditation. Participants (with issues of stress and low mood) reported experiencing improvements in psychological well-being due to receiving MAT. The wider implications are discussed.     

One and Done? Optimal Decisions From Very Few Samples

In many learning or inference tasks human behavior approximates that of a Bayesian ideal observer, suggesting that, at some level, cognition can be described as Bayesian inference. However, a number of findings have highlighted an intriguing mismatch between human behavior and standard assumptions about optimality: People often appear to make decisions based on just one or a few samples from the appropriate posterior probability distribution, rather than using the full distribution. Although sampling‐based approximations are a common way to implement Bayesian inference, the very limited numbers of samples often used by humans seem insufficient to approximate the required probability distributions very accurately. Here, we consider this discrepancy in the broader framework of statistical decision theory, and ask: If people are making decisions based on samples—but as samples are costly—how many samples should people use to optimize their total expected or worst‐case reward over a large number of decisions? We find that under reasonable assumptions about the time costs of sampling, making many quick but locally suboptimal decisions based on very few samples may be the globally optimal strategy over long periods. These results help to reconcile a large body of work showing sampling‐based or probability matching behavior with the hypothesis that human cognition can be understood in Bayesian terms, and they suggest promising future directions for studies of resource‐constrained cognition.     

The role of healthy emotionality in the relationship between fear of COVID-19 and mental health problems: a cross-sectional study

Cognitive Processing - Understanding pandemic-related psychopathology development is limited due to numerous individual and contextual factors. It is widely accepted that individual differences to...     

Inferring Learners' Knowledge From Their Actions

Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we develop a general framework for automatically making such inferences based on observed actions; this framework is particularly relevant for inferring student knowledge in educational games and other interactive virtual environments. Our approach relies on modeling action planning: We formalize the problem as a Markov decision process in which one must choose what actions to take to complete a goal, where choices will be dependent on one's beliefs about how actions affect the environment. We use a variation of inverse reinforcement learning to infer these beliefs. Through two lab experiments, we show that this model can recover people's beliefs in a simple environment, with accuracy comparable to that of human observers. We then demonstrate that the model can be used to provide real‐time feedback and to model data from an existing educational game.     

The Influence of Gender Identities on Body Image and Breast Health among Sexual Minority Women in Taiwan: Implications for Healthcare Practices

The present paper presents constructions of gender roles among Taiwanese sexual minority women with different gender identities (i.e., butch and femme, known as T and Po, respectively, in Taiwan) and associations between their views toward their own breasts and breast healthcare intentions and behaviour. A total of 37 face-to-face interviews were conducted among women aged 20 years or older who self-identified as lesbians or women who partnered with other women in four areas of Taiwan between August 2012 and October 2012. The majority of the T –identity lesbians held negative views toward their own breasts. The T-identified lesbians’ negative intentions toward breast cancer screenings were associated with their negative views toward their own breasts and body construction process. All Po-identified lesbians reported positive views toward their own breasts; these views facilitated positive breast healthcare intentions and behaviour. The study findings can be used to help healthcare providers in understanding the importance of providing competent cultural care to sexual minority women and to help policymakers in formulating suitable policy to meet women’s healthcare needs.     

Beyond hypercorrection: remembering corrective feedback for low-confidence errors*

Correcting errors based on corrective feedback is essential to successful learning. Previous studies have found that corrections to high-confidence errors are better remembered than low-confidence errors (the hypercorrection effect). The aim of this study was to investigate whether corrections to low-confidence errors can also be successfully retained in some cases. Participants completed an initial multiple-choice test consisting of control, trick and easy general-knowledge questions, rated their confidence after answering each question, and then received immediate corrective feedback. After a short delay, they were given a cued-recall test consisting of the same questions. In two experiments, we found high-confidence errors to control questions were better corrected on the second test compared to low-confidence errors – the typical hypercorrection effect. However, low-confidence errors to trick questions were just as likely to be corrected as high-confidence errors. Most surprisingly, we found that memory for the feedback and original responses, not confidence or surprise, were significant predictors of error correction. We conclude that for some types of material, there is an effortful process of elaboration and problem solving prior to making low-confidence errors that facilitates memory of corrective feedback.     

Negative priming reduces affective ratings

The mere exposure effect is the commonly observed increase in pleasantness ratings of stimuli that have been given prior exposure. According to the fluency attribution account of the mere exposure effect, repeated presentations of a stimulus lead to increased ease of processing, which in turn is attributed to pleasantness. If so, processing fluency manipulated by means other than repetition should influence liking. In the present experiment, processing fluency was manipulated using a negative priming procedure, and its influence on affective judgement was examined. Previously ignored stimuli were responded to slower (negative priming) and were rated as less pleasant than controls. It was concluded that decreased processing fluency decreases liking of previously ignored stimuli.     

Book reviews

Institutions represent both the conscious and unconscious aspects of the interacting members. Psychotherapists need to address their unconscious position in the institution as well as the conscious aspects of their work. This paper describes the possible relevance that psychotherapy may have at the unconscious level. The notion of the ‘social defence system’ is extremely useful in finding one's way in the engulfing emotional attitudes, and for tolerating the often dismaying sense of irrelevance that psychotherapy appears to attract. The social defence system of a prison and a mental hospital are considered in this light and some thought are devoted to the changing state of the National Health Service at present.     

A tutorial introduction to Bayesian models of cognitive development

We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the what, the how, and the why of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for developmentalists. We emphasize a qualitative understanding of Bayesian inference, but also include information about additional resources for those interested in the cognitive science applications, mathematical foundations, or machine learning details in more depth. In addition, we discuss some important interpretation issues that often arise when evaluating Bayesian models in cognitive science.     

Children's imitation of causal action sequences is influenced by statistical and pedagogical evidence

Children are ubiquitous imitators, but how do they decide which actions to imitate? One possibility is that children rationally combine multiple sources of information about which actions are necessary to cause a particular outcome. For instance, children might learn from contingencies between action sequences and outcomes across repeated demonstrations, and they might also use information about the actor’s knowledge state and pedagogical intentions. We define a Bayesian model that predicts children will decide whether to imitate part or all of an action sequence based on both the pattern of statistical evidence and the demonstrator’s pedagogical stance. To test this prediction, we conducted an experiment in which preschool children watched an experimenter repeatedly perform sequences of varying actions followed by an outcome. Children’s imitation of sequences that produced the outcome increased, in some cases resulting in production of shorter sequences of actions that the children had never seen performed in isolation. A second experiment established that children interpret the same statistical evidence differently when it comes from a knowledgeable teacher versus a naïve demonstrator. In particular, in the pedagogical case children are more likely to “overimitate” by reproducing the entire demonstrated sequence. This behavior is consistent with our model’s predictions, and suggests that children attend to both statistical and pedagogical evidence in deciding which actions to imitate, rather than obligately imitating successful action sequences.